Automatic registration of single aerial image with LiDAR data based on “pin-hole”imaging simulation and iterative computation Article Swipe
YOU?
·
· 2016
· Open Access
·
· DOI: https://doi.org/10.11834/jrs.20165070
以æå½±æµéå ±çº¿æ¹ç¨ä¸ºä¸¥æ ¼é 忍¡å,æåºäºä¸ç§å¼å ¥éåæå模æè¿ç¨çåå¼ èªç©ºå½±åLiDARç¹äºé åè¿ä»£æ¹æ³,å ±å为3ä¸ªé¶æ®µ:第ä¸,å©ç¨èªç©ºå½±åå åæ°ååå§å¤æ¹ä½å ç´ å¯¹LiDARç¹äºé忍¡ææå,çæä¸èªç©ºå½±å空é´å辨çãå ä½å½¢åç¸æ¥è¿ä¸å ·æç¸åå¹ é¢å¤§å°çéè§å½±å-LiDAR深度影å;第äº,以梯度äºä¿¡æ¯ä½ä¸ºå½±åç¸ä¼¼æ§æµåº¦ä¾æ®,宿½å½±åéåå¡ãååå¤ççç¥å®ç°LiDAR深度影åä¸èªç©ºå½±åå ä½åæ¢åæ°å¿«é估计,è¿è便®ä¼°è®¡åæ°åLiDAR深度影åãæ¿å èç¹æå½±å ³ç³»å»ºç«LiDARç¹äºèªç©ºå½±åæ¦ç¥ç¸å ³;第ä¸,以LiDARç¹äºå½±åæ¦ç¥ç¸å ³ä¸çè¿ä¼¼åååç¹ä¸ºè§æµå¼,以åç¹æ¢¯åº¦äºä¿¡æ¯ä¸ºæé,宿½æå½±æµé空é´åæ¹äº¤ä¼è®¡ç®è·å¾ä¼åçå½±å夿¹ä½å ç´ ,çææ°çLiDAR深度影åå¹¶éå¤ä¸è¿°è¿ç¨,ç´è³æ»¡è¶³ç»å®çè¿ä»£è®¡ç®æ¡ä»¶,å®ç°åå¼ èªç©ºå½±åä¸LiDARç¹äºæ°æ®çèªå¨ç©ºé´é åãå®éªè¡¨æ,æ¬ææ¹æ³é å精度达äºåç´ çº§ä¸èªå¨åç¨åº¦é«ã
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.11834/jrs.20165070
- https://www.ygxb.ac.cn/rc-pub/front/front-article/download?siteId=91&id=10664267&attachType=lowqualitypdf&token=&language=zh
- OA Status
- bronze
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4385537742
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W4385537742Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.11834/jrs.20165070Digital Object Identifier
- Title
-
Automatic registration of single aerial image with LiDAR data based on “pin-hole”imaging simulation and iterative computationWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2016Year of publication
- Publication date
-
2016-01-01Full publication date if available
- Authors
-
Wu Jun, RAO Yun, Yanjun Hu, CHENG Menmen, 彭智勇 Peng ZhiyongList of authors in order
- Landing page
-
https://doi.org/10.11834/jrs.20165070Publisher landing page
- PDF URL
-
https://www.ygxb.ac.cn/rc-pub/front/front-article/download?siteId=91&id=10664267&attachType=lowqualitypdf&token=&language=zhDirect link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
bronzeOpen access status per OpenAlex
- OA URL
-
https://www.ygxb.ac.cn/rc-pub/front/front-article/download?siteId=91&id=10664267&attachType=lowqualitypdf&token=&language=zhDirect OA link when available
- Concepts
-
Lidar, Remote sensing, Computation, Computer science, Geology, AlgorithmTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
0Total citation count in OpenAlex
- Related works (count)
-
10Other works algorithmically related by OpenAlex
Full payload
| id | https://openalex.org/W4385537742 |
|---|---|
| doi | https://doi.org/10.11834/jrs.20165070 |
| ids.doi | https://doi.org/10.11834/jrs.20165070 |
| ids.openalex | https://openalex.org/W4385537742 |
| fwci | 0.0 |
| type | article |
| title | Automatic registration of single aerial image with LiDAR data based on “pin-hole”imaging simulation and iterative computation |
| biblio.issue | 1 |
| biblio.volume | 20 |
| biblio.last_page | 93 |
| biblio.first_page | 80 |
| topics[0].id | https://openalex.org/T10531 |
| topics[0].field.id | https://openalex.org/fields/17 |
| topics[0].field.display_name | Computer Science |
| topics[0].score | 0.9962999820709229 |
| topics[0].domain.id | https://openalex.org/domains/3 |
| topics[0].domain.display_name | Physical Sciences |
| topics[0].subfield.id | https://openalex.org/subfields/1707 |
| topics[0].subfield.display_name | Computer Vision and Pattern Recognition |
| topics[0].display_name | Advanced Vision and Imaging |
| topics[1].id | https://openalex.org/T11164 |
| topics[1].field.id | https://openalex.org/fields/23 |
| topics[1].field.display_name | Environmental Science |
| topics[1].score | 0.9937999844551086 |
| topics[1].domain.id | https://openalex.org/domains/3 |
| topics[1].domain.display_name | Physical Sciences |
| topics[1].subfield.id | https://openalex.org/subfields/2305 |
| topics[1].subfield.display_name | Environmental Engineering |
| topics[1].display_name | Remote Sensing and LiDAR Applications |
| topics[2].id | https://openalex.org/T10191 |
| topics[2].field.id | https://openalex.org/fields/22 |
| topics[2].field.display_name | Engineering |
| topics[2].score | 0.9914000034332275 |
| topics[2].domain.id | https://openalex.org/domains/3 |
| topics[2].domain.display_name | Physical Sciences |
| topics[2].subfield.id | https://openalex.org/subfields/2202 |
| topics[2].subfield.display_name | Aerospace Engineering |
| topics[2].display_name | Robotics and Sensor-Based Localization |
| is_xpac | False |
| apc_list | |
| apc_paid | |
| concepts[0].id | https://openalex.org/C51399673 |
| concepts[0].level | 2 |
| concepts[0].score | 0.9885857105255127 |
| concepts[0].wikidata | https://www.wikidata.org/wiki/Q504027 |
| concepts[0].display_name | Lidar |
| concepts[1].id | https://openalex.org/C62649853 |
| concepts[1].level | 1 |
| concepts[1].score | 0.7030232548713684 |
| concepts[1].wikidata | https://www.wikidata.org/wiki/Q199687 |
| concepts[1].display_name | Remote sensing |
| concepts[2].id | https://openalex.org/C45374587 |
| concepts[2].level | 2 |
| concepts[2].score | 0.4422890245914459 |
| concepts[2].wikidata | https://www.wikidata.org/wiki/Q12525525 |
| concepts[2].display_name | Computation |
| concepts[3].id | https://openalex.org/C41008148 |
| concepts[3].level | 0 |
| concepts[3].score | 0.3011229634284973 |
| concepts[3].wikidata | https://www.wikidata.org/wiki/Q21198 |
| concepts[3].display_name | Computer science |
| concepts[4].id | https://openalex.org/C127313418 |
| concepts[4].level | 0 |
| concepts[4].score | 0.2512102723121643 |
| concepts[4].wikidata | https://www.wikidata.org/wiki/Q1069 |
| concepts[4].display_name | Geology |
| concepts[5].id | https://openalex.org/C11413529 |
| concepts[5].level | 1 |
| concepts[5].score | 0.06607726216316223 |
| concepts[5].wikidata | https://www.wikidata.org/wiki/Q8366 |
| concepts[5].display_name | Algorithm |
| keywords[0].id | https://openalex.org/keywords/lidar |
| keywords[0].score | 0.9885857105255127 |
| keywords[0].display_name | Lidar |
| keywords[1].id | https://openalex.org/keywords/remote-sensing |
| keywords[1].score | 0.7030232548713684 |
| keywords[1].display_name | Remote sensing |
| keywords[2].id | https://openalex.org/keywords/computation |
| keywords[2].score | 0.4422890245914459 |
| keywords[2].display_name | Computation |
| keywords[3].id | https://openalex.org/keywords/computer-science |
| keywords[3].score | 0.3011229634284973 |
| keywords[3].display_name | Computer science |
| keywords[4].id | https://openalex.org/keywords/geology |
| keywords[4].score | 0.2512102723121643 |
| keywords[4].display_name | Geology |
| keywords[5].id | https://openalex.org/keywords/algorithm |
| keywords[5].score | 0.06607726216316223 |
| keywords[5].display_name | Algorithm |
| language | en |
| locations[0].id | doi:10.11834/jrs.20165070 |
| locations[0].is_oa | True |
| locations[0].source.id | https://openalex.org/S2764468969 |
| locations[0].source.issn | 1007-4619, 2095-9494 |
| locations[0].source.type | journal |
| locations[0].source.is_oa | False |
| locations[0].source.issn_l | 1007-4619 |
| locations[0].source.is_core | True |
| locations[0].source.is_in_doaj | False |
| locations[0].source.display_name | National Remote Sensing Bulletin |
| locations[0].source.host_organization | https://openalex.org/P4310319982 |
| locations[0].source.host_organization_name | Science Press |
| locations[0].source.host_organization_lineage | https://openalex.org/P4310319982 |
| locations[0].source.host_organization_lineage_names | Science Press |
| locations[0].license | |
| locations[0].pdf_url | https://www.ygxb.ac.cn/rc-pub/front/front-article/download?siteId=91&id=10664267&attachType=lowqualitypdf&token=&language=zh |
| locations[0].version | publishedVersion |
| locations[0].raw_type | journal-article |
| locations[0].license_id | |
| locations[0].is_accepted | True |
| locations[0].is_published | True |
| locations[0].raw_source_name | National Remote Sensing Bulletin |
| locations[0].landing_page_url | https://doi.org/10.11834/jrs.20165070 |
| indexed_in | crossref |
| authorships[0].author.id | https://openalex.org/A5103674851 |
| authorships[0].author.orcid | |
| authorships[0].author.display_name | Wu Jun |
| authorships[0].author_position | first |
| authorships[0].raw_author_name | WU Jun |
| authorships[0].is_corresponding | False |
| authorships[1].author.id | https://openalex.org/A5092590350 |
| authorships[1].author.orcid | |
| authorships[1].author.display_name | RAO Yun |
| authorships[1].author_position | middle |
| authorships[1].raw_author_name | RAO Yun |
| authorships[1].is_corresponding | False |
| authorships[2].author.id | https://openalex.org/A5101502141 |
| authorships[2].author.orcid | https://orcid.org/0000-0002-6319-176X |
| authorships[2].author.display_name | Yanjun Hu |
| authorships[2].author_position | middle |
| authorships[2].raw_author_name | HU Yanjun |
| authorships[2].is_corresponding | False |
| authorships[3].author.id | https://openalex.org/A5092589641 |
| authorships[3].author.orcid | |
| authorships[3].author.display_name | CHENG Menmen |
| authorships[3].author_position | middle |
| authorships[3].raw_author_name | CHENG Menmen |
| authorships[3].is_corresponding | False |
| authorships[4].author.id | https://openalex.org/A5017856067 |
| authorships[4].author.orcid | |
| authorships[4].author.display_name | 彭智勇 Peng Zhiyong |
| authorships[4].author_position | last |
| authorships[4].raw_author_name | PENG Zhiyong |
| authorships[4].is_corresponding | False |
| has_content.pdf | True |
| has_content.grobid_xml | True |
| is_paratext | False |
| open_access.is_oa | True |
| open_access.oa_url | https://www.ygxb.ac.cn/rc-pub/front/front-article/download?siteId=91&id=10664267&attachType=lowqualitypdf&token=&language=zh |
| open_access.oa_status | bronze |
| open_access.any_repository_has_fulltext | False |
| created_date | 2025-10-10T00:00:00 |
| display_name | Automatic registration of single aerial image with LiDAR data based on “pin-hole”imaging simulation and iterative computation |
| has_fulltext | False |
| is_retracted | False |
| updated_date | 2025-11-06T03:46:38.306776 |
| primary_topic.id | https://openalex.org/T10531 |
| primary_topic.field.id | https://openalex.org/fields/17 |
| primary_topic.field.display_name | Computer Science |
| primary_topic.score | 0.9962999820709229 |
| primary_topic.domain.id | https://openalex.org/domains/3 |
| primary_topic.domain.display_name | Physical Sciences |
| primary_topic.subfield.id | https://openalex.org/subfields/1707 |
| primary_topic.subfield.display_name | Computer Vision and Pattern Recognition |
| primary_topic.display_name | Advanced Vision and Imaging |
| related_works | https://openalex.org/W2748952813, https://openalex.org/W4319317934, https://openalex.org/W2901265155, https://openalex.org/W2956374172, https://openalex.org/W2351984678, https://openalex.org/W2140032575, https://openalex.org/W2011860471, https://openalex.org/W3011451421, https://openalex.org/W2012196540, https://openalex.org/W196913356 |
| cited_by_count | 0 |
| locations_count | 1 |
| best_oa_location.id | doi:10.11834/jrs.20165070 |
| best_oa_location.is_oa | True |
| best_oa_location.source.id | https://openalex.org/S2764468969 |
| best_oa_location.source.issn | 1007-4619, 2095-9494 |
| best_oa_location.source.type | journal |
| best_oa_location.source.is_oa | False |
| best_oa_location.source.issn_l | 1007-4619 |
| best_oa_location.source.is_core | True |
| best_oa_location.source.is_in_doaj | False |
| best_oa_location.source.display_name | National Remote Sensing Bulletin |
| best_oa_location.source.host_organization | https://openalex.org/P4310319982 |
| best_oa_location.source.host_organization_name | Science Press |
| best_oa_location.source.host_organization_lineage | https://openalex.org/P4310319982 |
| best_oa_location.source.host_organization_lineage_names | Science Press |
| best_oa_location.license | |
| best_oa_location.pdf_url | https://www.ygxb.ac.cn/rc-pub/front/front-article/download?siteId=91&id=10664267&attachType=lowqualitypdf&token=&language=zh |
| best_oa_location.version | publishedVersion |
| best_oa_location.raw_type | journal-article |
| best_oa_location.license_id | |
| best_oa_location.is_accepted | True |
| best_oa_location.is_published | True |
| best_oa_location.raw_source_name | National Remote Sensing Bulletin |
| best_oa_location.landing_page_url | https://doi.org/10.11834/jrs.20165070 |
| primary_location.id | doi:10.11834/jrs.20165070 |
| primary_location.is_oa | True |
| primary_location.source.id | https://openalex.org/S2764468969 |
| primary_location.source.issn | 1007-4619, 2095-9494 |
| primary_location.source.type | journal |
| primary_location.source.is_oa | False |
| primary_location.source.issn_l | 1007-4619 |
| primary_location.source.is_core | True |
| primary_location.source.is_in_doaj | False |
| primary_location.source.display_name | National Remote Sensing Bulletin |
| primary_location.source.host_organization | https://openalex.org/P4310319982 |
| primary_location.source.host_organization_name | Science Press |
| primary_location.source.host_organization_lineage | https://openalex.org/P4310319982 |
| primary_location.source.host_organization_lineage_names | Science Press |
| primary_location.license | |
| primary_location.pdf_url | https://www.ygxb.ac.cn/rc-pub/front/front-article/download?siteId=91&id=10664267&attachType=lowqualitypdf&token=&language=zh |
| primary_location.version | publishedVersion |
| primary_location.raw_type | journal-article |
| primary_location.license_id | |
| primary_location.is_accepted | True |
| primary_location.is_published | True |
| primary_location.raw_source_name | National Remote Sensing Bulletin |
| primary_location.landing_page_url | https://doi.org/10.11834/jrs.20165070 |
| publication_date | 2016-01-01 |
| publication_year | 2016 |
| referenced_works_count | 0 |
| abstract_inverted_index.¼é | 2 |
| abstract_inverted_index.ç´ | 9, 19 |
| abstract_inverted_index.·æç¸åå¹ | 12 |
| abstract_inverted_index.èç¹æå½±å | 15 |
| abstract_inverted_index.以æå½±æµéå | 0 |
| abstract_inverted_index.±çº¿æ¹ç¨ä¸ºä¸¥æ | 1 |
| abstract_inverted_index.åè¿ä»£æ¹æ³,å | 6 |
| abstract_inverted_index.å精度达äºåç´ | 23 |
| abstract_inverted_index.èªç©ºå½±åLiDARç¹äºé | 5 |
| abstract_inverted_index.ä½å½¢åç¸æ¥è¿ä¸å | 11 |
| abstract_inverted_index.åæ°ååå§å¤æ¹ä½å | 8 |
| abstract_inverted_index.级ä¸èªå¨åç¨åº¦é«ã | 24 |
| abstract_inverted_index.忍¡å,æåºäºä¸ç§å¼å | 3 |
| abstract_inverted_index.åãå®éªè¡¨æ,æ¬ææ¹æ³é | 22 |
| abstract_inverted_index.¥éåæå模æè¿ç¨çåå¼ | 4 |
| abstract_inverted_index.³;第ä¸,以LiDARç¹äºå½±åæ¦ç¥ç¸å | 17 |
| abstract_inverted_index.³ç³»å»ºç«LiDARç¹äºèªç©ºå½±åæ¦ç¥ç¸å | 16 |
| abstract_inverted_index.±å为3ä¸ªé¶æ®µ:第ä¸,å©ç¨èªç©ºå½±åå | 7 |
| abstract_inverted_index.èªç©ºå½±åä¸LiDARç¹äºæ°æ®çèªå¨ç©ºé´é | 21 |
| abstract_inverted_index.对LiDARç¹äºé忍¡ææå,çæä¸èªç©ºå½±å空é´å辨çãå | 10 |
| abstract_inverted_index.ä½åæ¢åæ°å¿«é估计,è¿è便®ä¼°è®¡åæ°åLiDAR深度影åãæ¿å | 14 |
| abstract_inverted_index.,çææ°çLiDAR深度影åå¹¶éå¤ä¸è¿°è¿ç¨,ç´è³æ»¡è¶³ç»å®çè¿ä»£è®¡ç®æ¡ä»¶,å®ç°åå¼ | 20 |
| abstract_inverted_index.³ä¸çè¿ä¼¼åååç¹ä¸ºè§æµå¼,以åç¹æ¢¯åº¦äºä¿¡æ¯ä¸ºæé,宿½æå½±æµé空é´åæ¹äº¤ä¼è®¡ç®è·å¾ä¼åçå½±å夿¹ä½å | 18 |
| abstract_inverted_index.é¢å¤§å°çéè§å½±å-LiDAR深度影å;第äº,以梯度äºä¿¡æ¯ä½ä¸ºå½±åç¸ä¼¼æ§æµåº¦ä¾æ®,宿½å½±åéåå¡ãååå¤ççç¥å®ç°LiDAR深度影åä¸èªç©ºå½±åå | 13 |
| cited_by_percentile_year | |
| countries_distinct_count | 0 |
| institutions_distinct_count | 5 |
| citation_normalized_percentile.value | 0.29798889 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |