An Improved Adaptive Template Size Pixel-Tracking Method for Monitoring Large-Gradient Mining Subsidence Article Swipe
YOU?
·
· 2017
· Open Access
·
· DOI: https://doi.org/10.1155/2017/3059159
The monitoring of large-gradient deformation caused by coal mining is of great significance to the prevention and management of disasters in mining areas. The interferometric synthetic aperture radar (InSAR) method captures the small-gradient ground deformation on the edge of the subsidence basin accurately but is unreliable for capturing large-gradient deformation. The intensity-based pixel-tracking method (e.g., the normalized cross-correlation (NCC) method) can overcome the limitations of InSAR’s maximum detectable displacement gradient and incoherence. However, the pixel-tracking method is sensitive to template size. It is difficult to estimate ground subsidence accurately by the conventional pixel-tracking method with fixed template size. In this paper, the signal-to-noise ratio (SNR) is redefined and an improved locally adaptive template size method is proposed by identifying optimal template adaptively based on maximization of the redefined SNR. The constraint radius is used to constrain the search area in this improved method. The frequency of misrepresentation is reduced by finding the peak of the correlation coefficient surface within the search area. Both simulation data and real ground subsidence data are used to test this algorithm. The results show that this method can improve monitoring accuracy compared with the traditional pixel-tracking method for fixed template size.
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1155/2017/3059159
- http://downloads.hindawi.com/journals/js/2017/3059159.pdf
- OA Status
- hybrid
- Cited By
- 23
- References
- 45
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W2756357297
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W2756357297Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1155/2017/3059159Digital Object Identifier
- Title
-
An Improved Adaptive Template Size Pixel-Tracking Method for Monitoring Large-Gradient Mining SubsidenceWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2017Year of publication
- Publication date
-
2017-01-01Full publication date if available
- Authors
-
Jilei Huang, Kazhong Deng, Hongdong Fan, Shaogang Lei, Shiyong Yan, Lei WangList of authors in order
- Landing page
-
https://doi.org/10.1155/2017/3059159Publisher landing page
- PDF URL
-
https://downloads.hindawi.com/journals/js/2017/3059159.pdfDirect link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
hybridOpen access status per OpenAlex
- OA URL
-
https://downloads.hindawi.com/journals/js/2017/3059159.pdfDirect OA link when available
- Concepts
-
Pixel, Interferometric synthetic aperture radar, Computer science, Tracking (education), Maximization, Deformation monitoring, Remote sensing, RADIUS, Deformation (meteorology), Subsidence, Displacement (psychology), Synthetic aperture radar, Artificial intelligence, Geology, Mathematics, Structural basin, Mathematical optimization, Paleontology, Computer security, Psychology, Psychotherapist, Oceanography, PedagogyTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
23Total citation count in OpenAlex
- Citations by year (recent)
-
2024: 3, 2023: 2, 2022: 4, 2021: 9, 2020: 4Per-year citation counts (last 5 years)
- References (count)
-
45Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
Full payload
| id | https://openalex.org/W2756357297 |
|---|---|
| doi | https://doi.org/10.1155/2017/3059159 |
| ids.doi | https://doi.org/10.1155/2017/3059159 |
| ids.mag | 2756357297 |
| ids.openalex | https://openalex.org/W2756357297 |
| fwci | 2.02760358 |
| type | article |
| title | An Improved Adaptive Template Size Pixel-Tracking Method for Monitoring Large-Gradient Mining Subsidence |
| awards[0].id | https://openalex.org/G5190826214 |
| awards[0].funder_id | https://openalex.org/F4320321001 |
| awards[0].display_name | |
| awards[0].funder_award_id | SKLGP2016 K008 |
| awards[0].funder_display_name | National Natural Science Foundation of China |
| awards[1].id | https://openalex.org/G448239153 |
| awards[1].funder_id | https://openalex.org/F4320322769 |
| awards[1].display_name | |
| awards[1].funder_award_id | SKLGP2016 K008 |
| awards[1].funder_display_name | Natural Science Foundation of Jiangsu Province |
| awards[2].id | https://openalex.org/G7155953698 |
| awards[2].funder_id | https://openalex.org/F4320323826 |
| awards[2].display_name | |
| awards[2].funder_award_id | SKLGP2016 K008 |
| awards[2].funder_display_name | Chengdu University of Technology |
| awards[3].id | https://openalex.org/G1773620317 |
| awards[3].funder_id | https://openalex.org/F4320321001 |
| awards[3].display_name | |
| awards[3].funder_award_id | BK20150189 |
| awards[3].funder_display_name | National Natural Science Foundation of China |
| awards[4].id | https://openalex.org/G188876335 |
| awards[4].funder_id | https://openalex.org/F4320322769 |
| awards[4].display_name | |
| awards[4].funder_award_id | 2016YFC0501107 |
| awards[4].funder_display_name | Natural Science Foundation of Jiangsu Province |
| awards[5].id | https://openalex.org/G6214336787 |
| awards[5].funder_id | https://openalex.org/F4320335777 |
| awards[5].display_name | |
| awards[5].funder_award_id | 41604005 |
| awards[5].funder_display_name | National Key Research and Development Program of China |
| awards[6].id | https://openalex.org/G2999246956 |
| awards[6].funder_id | https://openalex.org/F4320322769 |
| awards[6].display_name | |
| awards[6].funder_award_id | 41604005 |
| awards[6].funder_display_name | Natural Science Foundation of Jiangsu Province |
| awards[7].id | https://openalex.org/G4090735243 |
| awards[7].funder_id | https://openalex.org/F4320335777 |
| awards[7].display_name | |
| awards[7].funder_award_id | BK20150189 |
| awards[7].funder_display_name | National Key Research and Development Program of China |
| awards[8].id | https://openalex.org/G147267324 |
| awards[8].funder_id | https://openalex.org/F4320322769 |
| awards[8].display_name | |
| awards[8].funder_award_id | BK20150189 |
| awards[8].funder_display_name | Natural Science Foundation of Jiangsu Province |
| awards[9].id | https://openalex.org/G7878160386 |
| awards[9].funder_id | https://openalex.org/F4320323826 |
| awards[9].display_name | |
| awards[9].funder_award_id | 2016YFC0501107 |
| awards[9].funder_display_name | Chengdu University of Technology |
| awards[10].id | https://openalex.org/G5063614364 |
| awards[10].funder_id | https://openalex.org/F4320322769 |
| awards[10].display_name | |
| awards[10].funder_award_id | U1361214 |
| awards[10].funder_display_name | Natural Science Foundation of Jiangsu Province |
| awards[11].id | https://openalex.org/G8420056650 |
| awards[11].funder_id | https://openalex.org/F4320321001 |
| awards[11].display_name | |
| awards[11].funder_award_id | 41604005 |
| awards[11].funder_display_name | National Natural Science Foundation of China |
| awards[12].id | https://openalex.org/G771793816 |
| awards[12].funder_id | https://openalex.org/F4320335777 |
| awards[12].display_name | |
| awards[12].funder_award_id | 2016YFC0501107 |
| awards[12].funder_display_name | National Key Research and Development Program of China |
| awards[13].id | https://openalex.org/G1226340260 |
| awards[13].funder_id | https://openalex.org/F4320321001 |
| awards[13].display_name | |
| awards[13].funder_award_id | U1361214 |
| awards[13].funder_display_name | National Natural Science Foundation of China |
| awards[14].id | https://openalex.org/G1950463713 |
| awards[14].funder_id | https://openalex.org/F4320335777 |
| awards[14].display_name | |
| awards[14].funder_award_id | SKLGP2016 K008 |
| awards[14].funder_display_name | National Key Research and Development Program of China |
| awards[15].id | https://openalex.org/G4430306809 |
| awards[15].funder_id | https://openalex.org/F4320323826 |
| awards[15].display_name | |
| awards[15].funder_award_id | BK20150189 |
| awards[15].funder_display_name | Chengdu University of Technology |
| awards[16].id | https://openalex.org/G3545869968 |
| awards[16].funder_id | https://openalex.org/F4320323826 |
| awards[16].display_name | |
| awards[16].funder_award_id | 41604005 |
| awards[16].funder_display_name | Chengdu University of Technology |
| awards[17].id | https://openalex.org/G7325178734 |
| awards[17].funder_id | https://openalex.org/F4320335777 |
| awards[17].display_name | |
| awards[17].funder_award_id | U1361214 |
| awards[17].funder_display_name | National Key Research and Development Program of China |
| awards[18].id | https://openalex.org/G1646742959 |
| awards[18].funder_id | https://openalex.org/F4320321001 |
| awards[18].display_name | |
| awards[18].funder_award_id | 2016YFC0501107 |
| awards[18].funder_display_name | National Natural Science Foundation of China |
| awards[19].id | https://openalex.org/G6115515774 |
| awards[19].funder_id | https://openalex.org/F4320323826 |
| awards[19].display_name | |
| awards[19].funder_award_id | U1361214 |
| awards[19].funder_display_name | Chengdu University of Technology |
| biblio.issue | |
| biblio.volume | 2017 |
| biblio.last_page | 11 |
| biblio.first_page | 1 |
| topics[0].id | https://openalex.org/T10801 |
| topics[0].field.id | https://openalex.org/fields/22 |
| topics[0].field.display_name | Engineering |
| topics[0].score | 0.9995999932289124 |
| topics[0].domain.id | https://openalex.org/domains/3 |
| topics[0].domain.display_name | Physical Sciences |
| topics[0].subfield.id | https://openalex.org/subfields/2202 |
| topics[0].subfield.display_name | Aerospace Engineering |
| topics[0].display_name | Synthetic Aperture Radar (SAR) Applications and Techniques |
| topics[1].id | https://openalex.org/T10161 |
| topics[1].field.id | https://openalex.org/fields/22 |
| topics[1].field.display_name | Engineering |
| topics[1].score | 0.9847000241279602 |
| topics[1].domain.id | https://openalex.org/domains/3 |
| topics[1].domain.display_name | Physical Sciences |
| topics[1].subfield.id | https://openalex.org/subfields/2211 |
| topics[1].subfield.display_name | Mechanics of Materials |
| topics[1].display_name | Rock Mechanics and Modeling |
| topics[2].id | https://openalex.org/T10644 |
| topics[2].field.id | https://openalex.org/fields/19 |
| topics[2].field.display_name | Earth and Planetary Sciences |
| topics[2].score | 0.9621999859809875 |
| topics[2].domain.id | https://openalex.org/domains/3 |
| topics[2].domain.display_name | Physical Sciences |
| topics[2].subfield.id | https://openalex.org/subfields/1902 |
| topics[2].subfield.display_name | Atmospheric Science |
| topics[2].display_name | Cryospheric studies and observations |
| funders[0].id | https://openalex.org/F4320321001 |
| funders[0].ror | https://ror.org/01h0zpd94 |
| funders[0].display_name | National Natural Science Foundation of China |
| funders[1].id | https://openalex.org/F4320322769 |
| funders[1].ror | https://ror.org/01h0zpd94 |
| funders[1].display_name | Natural Science Foundation of Jiangsu Province |
| funders[2].id | https://openalex.org/F4320323826 |
| funders[2].ror | https://ror.org/05pejbw21 |
| funders[2].display_name | Chengdu University of Technology |
| funders[3].id | https://openalex.org/F4320335777 |
| funders[3].ror | |
| funders[3].display_name | National Key Research and Development Program of China |
| is_xpac | False |
| apc_list.value | 2100 |
| apc_list.currency | USD |
| apc_list.value_usd | 2100 |
| apc_paid.value | 2100 |
| apc_paid.currency | USD |
| apc_paid.value_usd | 2100 |
| concepts[0].id | https://openalex.org/C160633673 |
| concepts[0].level | 2 |
| concepts[0].score | 0.6430845856666565 |
| concepts[0].wikidata | https://www.wikidata.org/wiki/Q355198 |
| concepts[0].display_name | Pixel |
| concepts[1].id | https://openalex.org/C22286887 |
| concepts[1].level | 3 |
| concepts[1].score | 0.610853910446167 |
| concepts[1].wikidata | https://www.wikidata.org/wiki/Q1666056 |
| concepts[1].display_name | Interferometric synthetic aperture radar |
| concepts[2].id | https://openalex.org/C41008148 |
| concepts[2].level | 0 |
| concepts[2].score | 0.5639772415161133 |
| concepts[2].wikidata | https://www.wikidata.org/wiki/Q21198 |
| concepts[2].display_name | Computer science |
| concepts[3].id | https://openalex.org/C2775936607 |
| concepts[3].level | 2 |
| concepts[3].score | 0.5400280952453613 |
| concepts[3].wikidata | https://www.wikidata.org/wiki/Q466845 |
| concepts[3].display_name | Tracking (education) |
| concepts[4].id | https://openalex.org/C2776330181 |
| concepts[4].level | 2 |
| concepts[4].score | 0.5129687190055847 |
| concepts[4].wikidata | https://www.wikidata.org/wiki/Q18358244 |
| concepts[4].display_name | Maximization |
| concepts[5].id | https://openalex.org/C136428324 |
| concepts[5].level | 3 |
| concepts[5].score | 0.500739336013794 |
| concepts[5].wikidata | https://www.wikidata.org/wiki/Q838414 |
| concepts[5].display_name | Deformation monitoring |
| concepts[6].id | https://openalex.org/C62649853 |
| concepts[6].level | 1 |
| concepts[6].score | 0.454904168844223 |
| concepts[6].wikidata | https://www.wikidata.org/wiki/Q199687 |
| concepts[6].display_name | Remote sensing |
| concepts[7].id | https://openalex.org/C178635117 |
| concepts[7].level | 2 |
| concepts[7].score | 0.43887609243392944 |
| concepts[7].wikidata | https://www.wikidata.org/wiki/Q747499 |
| concepts[7].display_name | RADIUS |
| concepts[8].id | https://openalex.org/C204366326 |
| concepts[8].level | 2 |
| concepts[8].score | 0.4334373474121094 |
| concepts[8].wikidata | https://www.wikidata.org/wiki/Q3027650 |
| concepts[8].display_name | Deformation (meteorology) |
| concepts[9].id | https://openalex.org/C180851071 |
| concepts[9].level | 3 |
| concepts[9].score | 0.4169784188270569 |
| concepts[9].wikidata | https://www.wikidata.org/wiki/Q849953 |
| concepts[9].display_name | Subsidence |
| concepts[10].id | https://openalex.org/C107551265 |
| concepts[10].level | 2 |
| concepts[10].score | 0.41269636154174805 |
| concepts[10].wikidata | https://www.wikidata.org/wiki/Q1458245 |
| concepts[10].display_name | Displacement (psychology) |
| concepts[11].id | https://openalex.org/C87360688 |
| concepts[11].level | 2 |
| concepts[11].score | 0.3985106945037842 |
| concepts[11].wikidata | https://www.wikidata.org/wiki/Q740686 |
| concepts[11].display_name | Synthetic aperture radar |
| concepts[12].id | https://openalex.org/C154945302 |
| concepts[12].level | 1 |
| concepts[12].score | 0.35953962802886963 |
| concepts[12].wikidata | https://www.wikidata.org/wiki/Q11660 |
| concepts[12].display_name | Artificial intelligence |
| concepts[13].id | https://openalex.org/C127313418 |
| concepts[13].level | 0 |
| concepts[13].score | 0.3516656160354614 |
| concepts[13].wikidata | https://www.wikidata.org/wiki/Q1069 |
| concepts[13].display_name | Geology |
| concepts[14].id | https://openalex.org/C33923547 |
| concepts[14].level | 0 |
| concepts[14].score | 0.20124605298042297 |
| concepts[14].wikidata | https://www.wikidata.org/wiki/Q395 |
| concepts[14].display_name | Mathematics |
| concepts[15].id | https://openalex.org/C109007969 |
| concepts[15].level | 2 |
| concepts[15].score | 0.10080435872077942 |
| concepts[15].wikidata | https://www.wikidata.org/wiki/Q749565 |
| concepts[15].display_name | Structural basin |
| concepts[16].id | https://openalex.org/C126255220 |
| concepts[16].level | 1 |
| concepts[16].score | 0.09843036532402039 |
| concepts[16].wikidata | https://www.wikidata.org/wiki/Q141495 |
| concepts[16].display_name | Mathematical optimization |
| concepts[17].id | https://openalex.org/C151730666 |
| concepts[17].level | 1 |
| concepts[17].score | 0.0 |
| concepts[17].wikidata | https://www.wikidata.org/wiki/Q7205 |
| concepts[17].display_name | Paleontology |
| concepts[18].id | https://openalex.org/C38652104 |
| concepts[18].level | 1 |
| concepts[18].score | 0.0 |
| concepts[18].wikidata | https://www.wikidata.org/wiki/Q3510521 |
| concepts[18].display_name | Computer security |
| concepts[19].id | https://openalex.org/C15744967 |
| concepts[19].level | 0 |
| concepts[19].score | 0.0 |
| concepts[19].wikidata | https://www.wikidata.org/wiki/Q9418 |
| concepts[19].display_name | Psychology |
| concepts[20].id | https://openalex.org/C542102704 |
| concepts[20].level | 1 |
| concepts[20].score | 0.0 |
| concepts[20].wikidata | https://www.wikidata.org/wiki/Q183257 |
| concepts[20].display_name | Psychotherapist |
| concepts[21].id | https://openalex.org/C111368507 |
| concepts[21].level | 1 |
| concepts[21].score | 0.0 |
| concepts[21].wikidata | https://www.wikidata.org/wiki/Q43518 |
| concepts[21].display_name | Oceanography |
| concepts[22].id | https://openalex.org/C19417346 |
| concepts[22].level | 1 |
| concepts[22].score | 0.0 |
| concepts[22].wikidata | https://www.wikidata.org/wiki/Q7922 |
| concepts[22].display_name | Pedagogy |
| keywords[0].id | https://openalex.org/keywords/pixel |
| keywords[0].score | 0.6430845856666565 |
| keywords[0].display_name | Pixel |
| keywords[1].id | https://openalex.org/keywords/interferometric-synthetic-aperture-radar |
| keywords[1].score | 0.610853910446167 |
| keywords[1].display_name | Interferometric synthetic aperture radar |
| keywords[2].id | https://openalex.org/keywords/computer-science |
| keywords[2].score | 0.5639772415161133 |
| keywords[2].display_name | Computer science |
| keywords[3].id | https://openalex.org/keywords/tracking |
| keywords[3].score | 0.5400280952453613 |
| keywords[3].display_name | Tracking (education) |
| keywords[4].id | https://openalex.org/keywords/maximization |
| keywords[4].score | 0.5129687190055847 |
| keywords[4].display_name | Maximization |
| keywords[5].id | https://openalex.org/keywords/deformation-monitoring |
| keywords[5].score | 0.500739336013794 |
| keywords[5].display_name | Deformation monitoring |
| keywords[6].id | https://openalex.org/keywords/remote-sensing |
| keywords[6].score | 0.454904168844223 |
| keywords[6].display_name | Remote sensing |
| keywords[7].id | https://openalex.org/keywords/radius |
| keywords[7].score | 0.43887609243392944 |
| keywords[7].display_name | RADIUS |
| keywords[8].id | https://openalex.org/keywords/deformation |
| keywords[8].score | 0.4334373474121094 |
| keywords[8].display_name | Deformation (meteorology) |
| keywords[9].id | https://openalex.org/keywords/subsidence |
| keywords[9].score | 0.4169784188270569 |
| keywords[9].display_name | Subsidence |
| keywords[10].id | https://openalex.org/keywords/displacement |
| keywords[10].score | 0.41269636154174805 |
| keywords[10].display_name | Displacement (psychology) |
| keywords[11].id | https://openalex.org/keywords/synthetic-aperture-radar |
| keywords[11].score | 0.3985106945037842 |
| keywords[11].display_name | Synthetic aperture radar |
| keywords[12].id | https://openalex.org/keywords/artificial-intelligence |
| keywords[12].score | 0.35953962802886963 |
| keywords[12].display_name | Artificial intelligence |
| keywords[13].id | https://openalex.org/keywords/geology |
| keywords[13].score | 0.3516656160354614 |
| keywords[13].display_name | Geology |
| keywords[14].id | https://openalex.org/keywords/mathematics |
| keywords[14].score | 0.20124605298042297 |
| keywords[14].display_name | Mathematics |
| keywords[15].id | https://openalex.org/keywords/structural-basin |
| keywords[15].score | 0.10080435872077942 |
| keywords[15].display_name | Structural basin |
| keywords[16].id | https://openalex.org/keywords/mathematical-optimization |
| keywords[16].score | 0.09843036532402039 |
| keywords[16].display_name | Mathematical optimization |
| language | en |
| locations[0].id | doi:10.1155/2017/3059159 |
| locations[0].is_oa | True |
| locations[0].source.id | https://openalex.org/S96783963 |
| locations[0].source.issn | 1687-725X, 1687-7268 |
| locations[0].source.type | journal |
| locations[0].source.is_oa | False |
| locations[0].source.issn_l | 1687-725X |
| locations[0].source.is_core | True |
| locations[0].source.is_in_doaj | False |
| locations[0].source.display_name | Journal of Sensors |
| locations[0].source.host_organization | https://openalex.org/P4310319869 |
| locations[0].source.host_organization_name | Hindawi Publishing Corporation |
| locations[0].source.host_organization_lineage | https://openalex.org/P4310319869 |
| locations[0].source.host_organization_lineage_names | Hindawi Publishing Corporation |
| locations[0].license | cc-by |
| locations[0].pdf_url | http://downloads.hindawi.com/journals/js/2017/3059159.pdf |
| locations[0].version | publishedVersion |
| locations[0].raw_type | journal-article |
| locations[0].license_id | https://openalex.org/licenses/cc-by |
| locations[0].is_accepted | True |
| locations[0].is_published | True |
| locations[0].raw_source_name | Journal of Sensors |
| locations[0].landing_page_url | https://doi.org/10.1155/2017/3059159 |
| locations[1].id | pmh:oai:doaj.org/article:ec5dab687d1140e0bcc7e3c36f418622 |
| locations[1].is_oa | True |
| locations[1].source.id | https://openalex.org/S4306401280 |
| locations[1].source.issn | |
| locations[1].source.type | repository |
| locations[1].source.is_oa | False |
| locations[1].source.issn_l | |
| locations[1].source.is_core | False |
| locations[1].source.is_in_doaj | False |
| locations[1].source.display_name | DOAJ (DOAJ: Directory of Open Access Journals) |
| locations[1].source.host_organization | |
| locations[1].source.host_organization_name | |
| locations[1].license | cc-by-sa |
| locations[1].pdf_url | |
| locations[1].version | submittedVersion |
| locations[1].raw_type | article |
| locations[1].license_id | https://openalex.org/licenses/cc-by-sa |
| locations[1].is_accepted | False |
| locations[1].is_published | False |
| locations[1].raw_source_name | Journal of Sensors, Vol 2017 (2017) |
| locations[1].landing_page_url | https://doaj.org/article/ec5dab687d1140e0bcc7e3c36f418622 |
| indexed_in | crossref, doaj |
| authorships[0].author.id | https://openalex.org/A5101915971 |
| authorships[0].author.orcid | https://orcid.org/0000-0002-5172-5656 |
| authorships[0].author.display_name | Jilei Huang |
| authorships[0].countries | CN |
| authorships[0].affiliations[0].institution_ids | https://openalex.org/I25757504 |
| authorships[0].affiliations[0].raw_affiliation_string | School of Environment Science and Spatial Informatics, China University of Mining and Technology, Xuzhou, China |
| authorships[0].affiliations[1].institution_ids | https://openalex.org/I7726996 |
| authorships[0].affiliations[1].raw_affiliation_string | College of Resources and Environment, Henan University of Economics and Law, Zhengzhou, China |
| authorships[0].institutions[0].id | https://openalex.org/I25757504 |
| authorships[0].institutions[0].ror | https://ror.org/01xt2dr21 |
| authorships[0].institutions[0].type | education |
| authorships[0].institutions[0].lineage | https://openalex.org/I25757504 |
| authorships[0].institutions[0].country_code | CN |
| authorships[0].institutions[0].display_name | China University of Mining and Technology |
| authorships[0].institutions[1].id | https://openalex.org/I7726996 |
| authorships[0].institutions[1].ror | https://ror.org/000jtc944 |
| authorships[0].institutions[1].type | education |
| authorships[0].institutions[1].lineage | https://openalex.org/I7726996 |
| authorships[0].institutions[1].country_code | CN |
| authorships[0].institutions[1].display_name | Henan University of Economic and Law |
| authorships[0].author_position | first |
| authorships[0].raw_author_name | Jilei Huang |
| authorships[0].is_corresponding | False |
| authorships[0].raw_affiliation_strings | College of Resources and Environment, Henan University of Economics and Law, Zhengzhou, China, School of Environment Science and Spatial Informatics, China University of Mining and Technology, Xuzhou, China |
| authorships[1].author.id | https://openalex.org/A5041418209 |
| authorships[1].author.orcid | https://orcid.org/0000-0001-6621-5408 |
| authorships[1].author.display_name | Kazhong Deng |
| authorships[1].countries | CN |
| authorships[1].affiliations[0].institution_ids | https://openalex.org/I25757504 |
| authorships[1].affiliations[0].raw_affiliation_string | School of Environment Science and Spatial Informatics, China University of Mining and Technology, Xuzhou, China |
| authorships[1].institutions[0].id | https://openalex.org/I25757504 |
| authorships[1].institutions[0].ror | https://ror.org/01xt2dr21 |
| authorships[1].institutions[0].type | education |
| authorships[1].institutions[0].lineage | https://openalex.org/I25757504 |
| authorships[1].institutions[0].country_code | CN |
| authorships[1].institutions[0].display_name | China University of Mining and Technology |
| authorships[1].author_position | middle |
| authorships[1].raw_author_name | Kazhong Deng |
| authorships[1].is_corresponding | True |
| authorships[1].raw_affiliation_strings | School of Environment Science and Spatial Informatics, China University of Mining and Technology, Xuzhou, China |
| authorships[2].author.id | https://openalex.org/A5103282376 |
| authorships[2].author.orcid | https://orcid.org/0000-0003-3098-7371 |
| authorships[2].author.display_name | Hongdong Fan |
| authorships[2].countries | CN |
| authorships[2].affiliations[0].institution_ids | https://openalex.org/I25757504 |
| authorships[2].affiliations[0].raw_affiliation_string | School of Environment Science and Spatial Informatics, China University of Mining and Technology, Xuzhou, China |
| authorships[2].affiliations[1].institution_ids | https://openalex.org/I31595395 |
| authorships[2].affiliations[1].raw_affiliation_string | State Key Laboratory of Geohazard Prevention and Geoenvironment Protection, Chengdu University of Technology (CDUT), No. 1 the Third East Road of Erxian Qiao, Chengdu, China |
| authorships[2].institutions[0].id | https://openalex.org/I31595395 |
| authorships[2].institutions[0].ror | https://ror.org/05pejbw21 |
| authorships[2].institutions[0].type | education |
| authorships[2].institutions[0].lineage | https://openalex.org/I31595395 |
| authorships[2].institutions[0].country_code | CN |
| authorships[2].institutions[0].display_name | Chengdu University of Technology |
| authorships[2].institutions[1].id | https://openalex.org/I25757504 |
| authorships[2].institutions[1].ror | https://ror.org/01xt2dr21 |
| authorships[2].institutions[1].type | education |
| authorships[2].institutions[1].lineage | https://openalex.org/I25757504 |
| authorships[2].institutions[1].country_code | CN |
| authorships[2].institutions[1].display_name | China University of Mining and Technology |
| authorships[2].author_position | middle |
| authorships[2].raw_author_name | Hongdong Fan |
| authorships[2].is_corresponding | False |
| authorships[2].raw_affiliation_strings | School of Environment Science and Spatial Informatics, China University of Mining and Technology, Xuzhou, China, State Key Laboratory of Geohazard Prevention and Geoenvironment Protection, Chengdu University of Technology (CDUT), No. 1 the Third East Road of Erxian Qiao, Chengdu, China |
| authorships[3].author.id | https://openalex.org/A5080883951 |
| authorships[3].author.orcid | https://orcid.org/0000-0002-9962-9348 |
| authorships[3].author.display_name | Shaogang Lei |
| authorships[3].countries | CN |
| authorships[3].affiliations[0].institution_ids | https://openalex.org/I25757504 |
| authorships[3].affiliations[0].raw_affiliation_string | School of Environment Science and Spatial Informatics, China University of Mining and Technology, Xuzhou, China |
| authorships[3].institutions[0].id | https://openalex.org/I25757504 |
| authorships[3].institutions[0].ror | https://ror.org/01xt2dr21 |
| authorships[3].institutions[0].type | education |
| authorships[3].institutions[0].lineage | https://openalex.org/I25757504 |
| authorships[3].institutions[0].country_code | CN |
| authorships[3].institutions[0].display_name | China University of Mining and Technology |
| authorships[3].author_position | middle |
| authorships[3].raw_author_name | Shaogang Lei |
| authorships[3].is_corresponding | False |
| authorships[3].raw_affiliation_strings | School of Environment Science and Spatial Informatics, China University of Mining and Technology, Xuzhou, China |
| authorships[4].author.id | https://openalex.org/A5101885174 |
| authorships[4].author.orcid | https://orcid.org/0000-0002-9577-1662 |
| authorships[4].author.display_name | Shiyong Yan |
| authorships[4].countries | CN |
| authorships[4].affiliations[0].institution_ids | https://openalex.org/I25757504 |
| authorships[4].affiliations[0].raw_affiliation_string | School of Environment Science and Spatial Informatics, China University of Mining and Technology, Xuzhou, China |
| authorships[4].institutions[0].id | https://openalex.org/I25757504 |
| authorships[4].institutions[0].ror | https://ror.org/01xt2dr21 |
| authorships[4].institutions[0].type | education |
| authorships[4].institutions[0].lineage | https://openalex.org/I25757504 |
| authorships[4].institutions[0].country_code | CN |
| authorships[4].institutions[0].display_name | China University of Mining and Technology |
| authorships[4].author_position | middle |
| authorships[4].raw_author_name | Shiyong Yan |
| authorships[4].is_corresponding | False |
| authorships[4].raw_affiliation_strings | School of Environment Science and Spatial Informatics, China University of Mining and Technology, Xuzhou, China |
| authorships[5].author.id | https://openalex.org/A5100435803 |
| authorships[5].author.orcid | https://orcid.org/0009-0002-3180-1495 |
| authorships[5].author.display_name | Lei Wang |
| authorships[5].countries | CN |
| authorships[5].affiliations[0].institution_ids | https://openalex.org/I25757504 |
| authorships[5].affiliations[0].raw_affiliation_string | School of Environment Science and Spatial Informatics, China University of Mining and Technology, Xuzhou, China |
| authorships[5].institutions[0].id | https://openalex.org/I25757504 |
| authorships[5].institutions[0].ror | https://ror.org/01xt2dr21 |
| authorships[5].institutions[0].type | education |
| authorships[5].institutions[0].lineage | https://openalex.org/I25757504 |
| authorships[5].institutions[0].country_code | CN |
| authorships[5].institutions[0].display_name | China University of Mining and Technology |
| authorships[5].author_position | last |
| authorships[5].raw_author_name | Lei Wang |
| authorships[5].is_corresponding | False |
| authorships[5].raw_affiliation_strings | School of Environment Science and Spatial Informatics, China University of Mining and Technology, Xuzhou, China |
| has_content.pdf | True |
| has_content.grobid_xml | True |
| is_paratext | False |
| open_access.is_oa | True |
| open_access.oa_url | http://downloads.hindawi.com/journals/js/2017/3059159.pdf |
| open_access.oa_status | hybrid |
| open_access.any_repository_has_fulltext | False |
| created_date | 2025-10-10T00:00:00 |
| display_name | An Improved Adaptive Template Size Pixel-Tracking Method for Monitoring Large-Gradient Mining Subsidence |
| has_fulltext | True |
| is_retracted | False |
| updated_date | 2025-12-04T23:47:47.292601 |
| primary_topic.id | https://openalex.org/T10801 |
| primary_topic.field.id | https://openalex.org/fields/22 |
| primary_topic.field.display_name | Engineering |
| primary_topic.score | 0.9995999932289124 |
| primary_topic.domain.id | https://openalex.org/domains/3 |
| primary_topic.domain.display_name | Physical Sciences |
| primary_topic.subfield.id | https://openalex.org/subfields/2202 |
| primary_topic.subfield.display_name | Aerospace Engineering |
| primary_topic.display_name | Synthetic Aperture Radar (SAR) Applications and Techniques |
| related_works | https://openalex.org/W3206958763, https://openalex.org/W2159160885, https://openalex.org/W2127359929, https://openalex.org/W2099318526, https://openalex.org/W2354641586, https://openalex.org/W1991045795, https://openalex.org/W2113346282, https://openalex.org/W2374921833, https://openalex.org/W2276467122, https://openalex.org/W2130313420 |
| cited_by_count | 23 |
| counts_by_year[0].year | 2024 |
| counts_by_year[0].cited_by_count | 3 |
| counts_by_year[1].year | 2023 |
| counts_by_year[1].cited_by_count | 2 |
| counts_by_year[2].year | 2022 |
| counts_by_year[2].cited_by_count | 4 |
| counts_by_year[3].year | 2021 |
| counts_by_year[3].cited_by_count | 9 |
| counts_by_year[4].year | 2020 |
| counts_by_year[4].cited_by_count | 4 |
| counts_by_year[5].year | 2019 |
| counts_by_year[5].cited_by_count | 1 |
| locations_count | 2 |
| best_oa_location.id | doi:10.1155/2017/3059159 |
| best_oa_location.is_oa | True |
| best_oa_location.source.id | https://openalex.org/S96783963 |
| best_oa_location.source.issn | 1687-725X, 1687-7268 |
| best_oa_location.source.type | journal |
| best_oa_location.source.is_oa | False |
| best_oa_location.source.issn_l | 1687-725X |
| best_oa_location.source.is_core | True |
| best_oa_location.source.is_in_doaj | False |
| best_oa_location.source.display_name | Journal of Sensors |
| best_oa_location.source.host_organization | https://openalex.org/P4310319869 |
| best_oa_location.source.host_organization_name | Hindawi Publishing Corporation |
| best_oa_location.source.host_organization_lineage | https://openalex.org/P4310319869 |
| best_oa_location.source.host_organization_lineage_names | Hindawi Publishing Corporation |
| best_oa_location.license | cc-by |
| best_oa_location.pdf_url | http://downloads.hindawi.com/journals/js/2017/3059159.pdf |
| best_oa_location.version | publishedVersion |
| best_oa_location.raw_type | journal-article |
| best_oa_location.license_id | https://openalex.org/licenses/cc-by |
| best_oa_location.is_accepted | True |
| best_oa_location.is_published | True |
| best_oa_location.raw_source_name | Journal of Sensors |
| best_oa_location.landing_page_url | https://doi.org/10.1155/2017/3059159 |
| primary_location.id | doi:10.1155/2017/3059159 |
| primary_location.is_oa | True |
| primary_location.source.id | https://openalex.org/S96783963 |
| primary_location.source.issn | 1687-725X, 1687-7268 |
| primary_location.source.type | journal |
| primary_location.source.is_oa | False |
| primary_location.source.issn_l | 1687-725X |
| primary_location.source.is_core | True |
| primary_location.source.is_in_doaj | False |
| primary_location.source.display_name | Journal of Sensors |
| primary_location.source.host_organization | https://openalex.org/P4310319869 |
| primary_location.source.host_organization_name | Hindawi Publishing Corporation |
| primary_location.source.host_organization_lineage | https://openalex.org/P4310319869 |
| primary_location.source.host_organization_lineage_names | Hindawi Publishing Corporation |
| primary_location.license | cc-by |
| primary_location.pdf_url | http://downloads.hindawi.com/journals/js/2017/3059159.pdf |
| primary_location.version | publishedVersion |
| primary_location.raw_type | journal-article |
| primary_location.license_id | https://openalex.org/licenses/cc-by |
| primary_location.is_accepted | True |
| primary_location.is_published | True |
| primary_location.raw_source_name | Journal of Sensors |
| primary_location.landing_page_url | https://doi.org/10.1155/2017/3059159 |
| publication_date | 2017-01-01 |
| publication_year | 2017 |
| referenced_works | https://openalex.org/W2007654004, https://openalex.org/W2039835909, https://openalex.org/W2058331298, https://openalex.org/W2101779769, https://openalex.org/W2048638671, https://openalex.org/W2002814689, https://openalex.org/W2014096270, https://openalex.org/W2093172313, https://openalex.org/W2097762029, https://openalex.org/W2006907556, https://openalex.org/W2086040958, https://openalex.org/W2219686147, https://openalex.org/W2033376577, https://openalex.org/W2008044148, https://openalex.org/W2159592313, https://openalex.org/W2028370714, https://openalex.org/W2048494488, https://openalex.org/W2083710361, https://openalex.org/W2064723442, https://openalex.org/W4252803366, https://openalex.org/W1974249586, https://openalex.org/W1574051729, https://openalex.org/W2370530972, https://openalex.org/W2217362142, https://openalex.org/W2079102348, https://openalex.org/W2103997758, https://openalex.org/W2028482528, https://openalex.org/W2123896593, https://openalex.org/W2049248005, https://openalex.org/W2151962315, https://openalex.org/W1977413996, https://openalex.org/W1992832718, https://openalex.org/W2047812181, https://openalex.org/W2035472620, https://openalex.org/W1915588800, https://openalex.org/W2095156493, https://openalex.org/W2079964254, https://openalex.org/W1966302890, https://openalex.org/W2044227820, https://openalex.org/W2510539027, https://openalex.org/W2501650569, https://openalex.org/W1996274583, https://openalex.org/W2148047490, https://openalex.org/W1996203809, https://openalex.org/W1988043901 |
| referenced_works_count | 45 |
| abstract_inverted_index.In | 98 |
| abstract_inverted_index.It | 81 |
| abstract_inverted_index.an | 108 |
| abstract_inverted_index.by | 6, 89, 117, 149 |
| abstract_inverted_index.in | 20, 139 |
| abstract_inverted_index.is | 9, 44, 76, 82, 105, 115, 132, 147 |
| abstract_inverted_index.of | 2, 10, 18, 38, 64, 125, 145, 153 |
| abstract_inverted_index.on | 35, 123 |
| abstract_inverted_index.to | 13, 78, 84, 134, 172 |
| abstract_inverted_index.The | 0, 23, 50, 129, 143, 176 |
| abstract_inverted_index.and | 16, 70, 107, 165 |
| abstract_inverted_index.are | 170 |
| abstract_inverted_index.but | 43 |
| abstract_inverted_index.can | 60, 182 |
| abstract_inverted_index.for | 46, 192 |
| abstract_inverted_index.the | 14, 31, 36, 39, 55, 62, 73, 90, 101, 126, 136, 151, 154, 159, 188 |
| abstract_inverted_index.Both | 162 |
| abstract_inverted_index.SNR. | 128 |
| abstract_inverted_index.area | 138 |
| abstract_inverted_index.coal | 7 |
| abstract_inverted_index.data | 164, 169 |
| abstract_inverted_index.edge | 37 |
| abstract_inverted_index.peak | 152 |
| abstract_inverted_index.real | 166 |
| abstract_inverted_index.show | 178 |
| abstract_inverted_index.size | 113 |
| abstract_inverted_index.test | 173 |
| abstract_inverted_index.that | 179 |
| abstract_inverted_index.this | 99, 140, 174, 180 |
| abstract_inverted_index.used | 133, 171 |
| abstract_inverted_index.with | 94, 187 |
| abstract_inverted_index.(NCC) | 58 |
| abstract_inverted_index.(SNR) | 104 |
| abstract_inverted_index.area. | 161 |
| abstract_inverted_index.based | 122 |
| abstract_inverted_index.basin | 41 |
| abstract_inverted_index.fixed | 95, 193 |
| abstract_inverted_index.great | 11 |
| abstract_inverted_index.radar | 27 |
| abstract_inverted_index.ratio | 103 |
| abstract_inverted_index.size. | 80, 97, 195 |
| abstract_inverted_index.(e.g., | 54 |
| abstract_inverted_index.areas. | 22 |
| abstract_inverted_index.caused | 5 |
| abstract_inverted_index.ground | 33, 86, 167 |
| abstract_inverted_index.method | 29, 53, 75, 93, 114, 181, 191 |
| abstract_inverted_index.mining | 8, 21 |
| abstract_inverted_index.paper, | 100 |
| abstract_inverted_index.radius | 131 |
| abstract_inverted_index.search | 137, 160 |
| abstract_inverted_index.within | 158 |
| abstract_inverted_index.(InSAR) | 28 |
| abstract_inverted_index.finding | 150 |
| abstract_inverted_index.improve | 183 |
| abstract_inverted_index.locally | 110 |
| abstract_inverted_index.maximum | 66 |
| abstract_inverted_index.method) | 59 |
| abstract_inverted_index.method. | 142 |
| abstract_inverted_index.optimal | 119 |
| abstract_inverted_index.reduced | 148 |
| abstract_inverted_index.results | 177 |
| abstract_inverted_index.surface | 157 |
| abstract_inverted_index.However, | 72 |
| abstract_inverted_index.accuracy | 185 |
| abstract_inverted_index.adaptive | 111 |
| abstract_inverted_index.aperture | 26 |
| abstract_inverted_index.captures | 30 |
| abstract_inverted_index.compared | 186 |
| abstract_inverted_index.estimate | 85 |
| abstract_inverted_index.gradient | 69 |
| abstract_inverted_index.improved | 109, 141 |
| abstract_inverted_index.overcome | 61 |
| abstract_inverted_index.proposed | 116 |
| abstract_inverted_index.template | 79, 96, 112, 120, 194 |
| abstract_inverted_index.InSAR’s | 65 |
| abstract_inverted_index.capturing | 47 |
| abstract_inverted_index.constrain | 135 |
| abstract_inverted_index.difficult | 83 |
| abstract_inverted_index.disasters | 19 |
| abstract_inverted_index.frequency | 144 |
| abstract_inverted_index.redefined | 106, 127 |
| abstract_inverted_index.sensitive | 77 |
| abstract_inverted_index.synthetic | 25 |
| abstract_inverted_index.accurately | 42, 88 |
| abstract_inverted_index.adaptively | 121 |
| abstract_inverted_index.algorithm. | 175 |
| abstract_inverted_index.constraint | 130 |
| abstract_inverted_index.detectable | 67 |
| abstract_inverted_index.management | 17 |
| abstract_inverted_index.monitoring | 1, 184 |
| abstract_inverted_index.normalized | 56 |
| abstract_inverted_index.prevention | 15 |
| abstract_inverted_index.simulation | 163 |
| abstract_inverted_index.subsidence | 40, 87, 168 |
| abstract_inverted_index.unreliable | 45 |
| abstract_inverted_index.coefficient | 156 |
| abstract_inverted_index.correlation | 155 |
| abstract_inverted_index.deformation | 4, 34 |
| abstract_inverted_index.identifying | 118 |
| abstract_inverted_index.limitations | 63 |
| abstract_inverted_index.traditional | 189 |
| abstract_inverted_index.conventional | 91 |
| abstract_inverted_index.deformation. | 49 |
| abstract_inverted_index.displacement | 68 |
| abstract_inverted_index.incoherence. | 71 |
| abstract_inverted_index.maximization | 124 |
| abstract_inverted_index.significance | 12 |
| abstract_inverted_index.large-gradient | 3, 48 |
| abstract_inverted_index.pixel-tracking | 52, 74, 92, 190 |
| abstract_inverted_index.small-gradient | 32 |
| abstract_inverted_index.intensity-based | 51 |
| abstract_inverted_index.interferometric | 24 |
| abstract_inverted_index.signal-to-noise | 102 |
| abstract_inverted_index.cross-correlation | 57 |
| abstract_inverted_index.misrepresentation | 146 |
| cited_by_percentile_year.max | 99 |
| cited_by_percentile_year.min | 90 |
| corresponding_author_ids | https://openalex.org/A5041418209 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 6 |
| corresponding_institution_ids | https://openalex.org/I25757504 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/13 |
| sustainable_development_goals[0].score | 0.7900000214576721 |
| sustainable_development_goals[0].display_name | Climate action |
| citation_normalized_percentile.value | 0.90650587 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |