Measurement Modeling and Performance Analysis of a Bionic Polarization Imaging Navigation Sensor Using Rayleigh Scattering to Generate Scattered Sunlight Article Swipe
Zhenhua Wan
,
Kaichun Zhao
,
Haoyuan Cheng
,
Peng Fu
·
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.20944/preprints202310.0229.v1
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.20944/preprints202310.0229.v1
The bionic polarization imaging navigation sensor (BPINS) is a navigation sensor that provides absolute heading, and it is of practical engineering significance to model the measurement error of BPINS. The existing BPINSs are still modeled using photodiode-based measurements rather than imaging measurements and are not modeled systematically enough. This paper proposes a measurement model of BPINS that takes into account the geometric and polarization errors of the optical system. Firstly, the key error factors affecting the measurement accuracy of BPINS are systematically investigated and the Stokes vector-based measurement error model of BPINS is established. Secondly, based on its measurement error model, the effect of the error source on the measurement performance of BPINS is quantitatively analyzed by using Rayleigh scattering to generate scattered sunlight as a known incident light source. The experimental results show that the coordinate deviation of the principal point has a greater impact, followed by grayscale response inconsistency of CMOS and integration angle error of micro-polarization array, and finally lens attenuation. This finding can guide the subsequent calibration of BPINS, and the quantitative results provide an important reference for its optimal design.
Related Topics
Concepts
Metadata
- Type
- preprint
- Language
- en
- Landing Page
- https://doi.org/10.20944/preprints202310.0229.v1
- https://www.preprints.org/manuscript/202310.0229/v1/download
- OA Status
- green
- Cited By
- 1
- References
- 35
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4387327782
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W4387327782Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.20944/preprints202310.0229.v1Digital Object Identifier
- Title
-
Measurement Modeling and Performance Analysis of a Bionic Polarization Imaging Navigation Sensor Using Rayleigh Scattering to Generate Scattered SunlightWork title
- Type
-
preprintOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2023Year of publication
- Publication date
-
2023-10-04Full publication date if available
- Authors
-
Zhenhua Wan, Kaichun Zhao, Haoyuan Cheng, Peng FuList of authors in order
- Landing page
-
https://doi.org/10.20944/preprints202310.0229.v1Publisher landing page
- PDF URL
-
https://www.preprints.org/manuscript/202310.0229/v1/downloadDirect link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
greenOpen access status per OpenAlex
- OA URL
-
https://www.preprints.org/manuscript/202310.0229/v1/downloadDirect OA link when available
- Concepts
-
Optics, Stokes parameters, Computer science, Polarization (electrochemistry), Attenuation, Rayleigh scattering, Photodiode, Standard deviation, Image sensor, Physics, Scattering, Mathematics, Physical chemistry, Chemistry, StatisticsTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
1Total citation count in OpenAlex
- Citations by year (recent)
-
2023: 1Per-year citation counts (last 5 years)
- References (count)
-
35Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
Full payload
| id | https://openalex.org/W4387327782 |
|---|---|
| doi | https://doi.org/10.20944/preprints202310.0229.v1 |
| ids.doi | https://doi.org/10.20944/preprints202310.0229.v1 |
| ids.openalex | https://openalex.org/W4387327782 |
| fwci | 0.1658839 |
| type | preprint |
| title | Measurement Modeling and Performance Analysis of a Bionic Polarization Imaging Navigation Sensor Using Rayleigh Scattering to Generate Scattered Sunlight |
| biblio.issue | |
| biblio.volume | |
| biblio.last_page | |
| biblio.first_page | |
| topics[0].id | https://openalex.org/T10851 |
| topics[0].field.id | https://openalex.org/fields/22 |
| topics[0].field.display_name | Engineering |
| topics[0].score | 0.9947999715805054 |
| topics[0].domain.id | https://openalex.org/domains/3 |
| topics[0].domain.display_name | Physical Sciences |
| topics[0].subfield.id | https://openalex.org/subfields/2208 |
| topics[0].subfield.display_name | Electrical and Electronic Engineering |
| topics[0].display_name | Optical Wireless Communication Technologies |
| topics[1].id | https://openalex.org/T12050 |
| topics[1].field.id | https://openalex.org/fields/22 |
| topics[1].field.display_name | Engineering |
| topics[1].score | 0.9710999727249146 |
| topics[1].domain.id | https://openalex.org/domains/3 |
| topics[1].domain.display_name | Physical Sciences |
| topics[1].subfield.id | https://openalex.org/subfields/2204 |
| topics[1].subfield.display_name | Biomedical Engineering |
| topics[1].display_name | Optical Polarization and Ellipsometry |
| topics[2].id | https://openalex.org/T11517 |
| topics[2].field.id | https://openalex.org/fields/22 |
| topics[2].field.display_name | Engineering |
| topics[2].score | 0.9628000259399414 |
| topics[2].domain.id | https://openalex.org/domains/3 |
| topics[2].domain.display_name | Physical Sciences |
| topics[2].subfield.id | https://openalex.org/subfields/2204 |
| topics[2].subfield.display_name | Biomedical Engineering |
| topics[2].display_name | Advanced optical system design |
| is_xpac | False |
| apc_list | |
| apc_paid | |
| concepts[0].id | https://openalex.org/C120665830 |
| concepts[0].level | 1 |
| concepts[0].score | 0.5600461363792419 |
| concepts[0].wikidata | https://www.wikidata.org/wiki/Q14620 |
| concepts[0].display_name | Optics |
| concepts[1].id | https://openalex.org/C188141570 |
| concepts[1].level | 3 |
| concepts[1].score | 0.5433070063591003 |
| concepts[1].wikidata | https://www.wikidata.org/wiki/Q1192058 |
| concepts[1].display_name | Stokes parameters |
| concepts[2].id | https://openalex.org/C41008148 |
| concepts[2].level | 0 |
| concepts[2].score | 0.5266568660736084 |
| concepts[2].wikidata | https://www.wikidata.org/wiki/Q21198 |
| concepts[2].display_name | Computer science |
| concepts[3].id | https://openalex.org/C205049153 |
| concepts[3].level | 2 |
| concepts[3].score | 0.4906724691390991 |
| concepts[3].wikidata | https://www.wikidata.org/wiki/Q2698605 |
| concepts[3].display_name | Polarization (electrochemistry) |
| concepts[4].id | https://openalex.org/C184652730 |
| concepts[4].level | 2 |
| concepts[4].score | 0.4877370297908783 |
| concepts[4].wikidata | https://www.wikidata.org/wiki/Q2357982 |
| concepts[4].display_name | Attenuation |
| concepts[5].id | https://openalex.org/C46244369 |
| concepts[5].level | 2 |
| concepts[5].score | 0.47062280774116516 |
| concepts[5].wikidata | https://www.wikidata.org/wiki/Q193709 |
| concepts[5].display_name | Rayleigh scattering |
| concepts[6].id | https://openalex.org/C751236 |
| concepts[6].level | 2 |
| concepts[6].score | 0.46106916666030884 |
| concepts[6].wikidata | https://www.wikidata.org/wiki/Q175943 |
| concepts[6].display_name | Photodiode |
| concepts[7].id | https://openalex.org/C22679943 |
| concepts[7].level | 2 |
| concepts[7].score | 0.4383183717727661 |
| concepts[7].wikidata | https://www.wikidata.org/wiki/Q159375 |
| concepts[7].display_name | Standard deviation |
| concepts[8].id | https://openalex.org/C76935873 |
| concepts[8].level | 2 |
| concepts[8].score | 0.4219430088996887 |
| concepts[8].wikidata | https://www.wikidata.org/wiki/Q209121 |
| concepts[8].display_name | Image sensor |
| concepts[9].id | https://openalex.org/C121332964 |
| concepts[9].level | 0 |
| concepts[9].score | 0.37612372636795044 |
| concepts[9].wikidata | https://www.wikidata.org/wiki/Q413 |
| concepts[9].display_name | Physics |
| concepts[10].id | https://openalex.org/C191486275 |
| concepts[10].level | 2 |
| concepts[10].score | 0.339535653591156 |
| concepts[10].wikidata | https://www.wikidata.org/wiki/Q210028 |
| concepts[10].display_name | Scattering |
| concepts[11].id | https://openalex.org/C33923547 |
| concepts[11].level | 0 |
| concepts[11].score | 0.16101276874542236 |
| concepts[11].wikidata | https://www.wikidata.org/wiki/Q395 |
| concepts[11].display_name | Mathematics |
| concepts[12].id | https://openalex.org/C147789679 |
| concepts[12].level | 1 |
| concepts[12].score | 0.0 |
| concepts[12].wikidata | https://www.wikidata.org/wiki/Q11372 |
| concepts[12].display_name | Physical chemistry |
| concepts[13].id | https://openalex.org/C185592680 |
| concepts[13].level | 0 |
| concepts[13].score | 0.0 |
| concepts[13].wikidata | https://www.wikidata.org/wiki/Q2329 |
| concepts[13].display_name | Chemistry |
| concepts[14].id | https://openalex.org/C105795698 |
| concepts[14].level | 1 |
| concepts[14].score | 0.0 |
| concepts[14].wikidata | https://www.wikidata.org/wiki/Q12483 |
| concepts[14].display_name | Statistics |
| keywords[0].id | https://openalex.org/keywords/optics |
| keywords[0].score | 0.5600461363792419 |
| keywords[0].display_name | Optics |
| keywords[1].id | https://openalex.org/keywords/stokes-parameters |
| keywords[1].score | 0.5433070063591003 |
| keywords[1].display_name | Stokes parameters |
| keywords[2].id | https://openalex.org/keywords/computer-science |
| keywords[2].score | 0.5266568660736084 |
| keywords[2].display_name | Computer science |
| keywords[3].id | https://openalex.org/keywords/polarization |
| keywords[3].score | 0.4906724691390991 |
| keywords[3].display_name | Polarization (electrochemistry) |
| keywords[4].id | https://openalex.org/keywords/attenuation |
| keywords[4].score | 0.4877370297908783 |
| keywords[4].display_name | Attenuation |
| keywords[5].id | https://openalex.org/keywords/rayleigh-scattering |
| keywords[5].score | 0.47062280774116516 |
| keywords[5].display_name | Rayleigh scattering |
| keywords[6].id | https://openalex.org/keywords/photodiode |
| keywords[6].score | 0.46106916666030884 |
| keywords[6].display_name | Photodiode |
| keywords[7].id | https://openalex.org/keywords/standard-deviation |
| keywords[7].score | 0.4383183717727661 |
| keywords[7].display_name | Standard deviation |
| keywords[8].id | https://openalex.org/keywords/image-sensor |
| keywords[8].score | 0.4219430088996887 |
| keywords[8].display_name | Image sensor |
| keywords[9].id | https://openalex.org/keywords/physics |
| keywords[9].score | 0.37612372636795044 |
| keywords[9].display_name | Physics |
| keywords[10].id | https://openalex.org/keywords/scattering |
| keywords[10].score | 0.339535653591156 |
| keywords[10].display_name | Scattering |
| keywords[11].id | https://openalex.org/keywords/mathematics |
| keywords[11].score | 0.16101276874542236 |
| keywords[11].display_name | Mathematics |
| language | en |
| locations[0].id | doi:10.20944/preprints202310.0229.v1 |
| locations[0].is_oa | True |
| locations[0].source.id | https://openalex.org/S6309402219 |
| locations[0].source.issn | |
| locations[0].source.type | repository |
| locations[0].source.is_oa | True |
| locations[0].source.issn_l | |
| locations[0].source.is_core | False |
| locations[0].source.is_in_doaj | False |
| locations[0].source.display_name | Preprints.org |
| locations[0].source.host_organization | |
| locations[0].source.host_organization_name | |
| locations[0].source.host_organization_lineage | https://openalex.org/P4310310987 |
| locations[0].source.host_organization_lineage_names | Multidisciplinary Digital Publishing Institute |
| locations[0].license | cc-by |
| locations[0].pdf_url | https://www.preprints.org/manuscript/202310.0229/v1/download |
| locations[0].version | acceptedVersion |
| locations[0].raw_type | posted-content |
| locations[0].license_id | https://openalex.org/licenses/cc-by |
| locations[0].is_accepted | True |
| locations[0].is_published | False |
| locations[0].raw_source_name | |
| locations[0].landing_page_url | https://doi.org/10.20944/preprints202310.0229.v1 |
| indexed_in | crossref |
| authorships[0].author.id | https://openalex.org/A5061390455 |
| authorships[0].author.orcid | https://orcid.org/0009-0003-8127-4336 |
| authorships[0].author.display_name | Zhenhua Wan |
| authorships[0].countries | CN |
| authorships[0].affiliations[0].institution_ids | https://openalex.org/I150807315 |
| authorships[0].affiliations[0].raw_affiliation_string | School of Mechanical Engineering, Guangxi University, Nanning 530004, China; |
| authorships[0].institutions[0].id | https://openalex.org/I150807315 |
| authorships[0].institutions[0].ror | https://ror.org/02c9qn167 |
| authorships[0].institutions[0].type | education |
| authorships[0].institutions[0].lineage | https://openalex.org/I150807315 |
| authorships[0].institutions[0].country_code | CN |
| authorships[0].institutions[0].display_name | Guangxi University |
| authorships[0].author_position | first |
| authorships[0].raw_author_name | Zhenhua Wan |
| authorships[0].is_corresponding | False |
| authorships[0].raw_affiliation_strings | School of Mechanical Engineering, Guangxi University, Nanning 530004, China; |
| authorships[1].author.id | https://openalex.org/A5101425199 |
| authorships[1].author.orcid | https://orcid.org/0000-0002-1714-0582 |
| authorships[1].author.display_name | Kaichun Zhao |
| authorships[1].countries | CN |
| authorships[1].affiliations[0].institution_ids | https://openalex.org/I99065089 |
| authorships[1].affiliations[0].raw_affiliation_string | Department of Precision Instrument, Tsinghua University, Beijing 100084, China; |
| authorships[1].institutions[0].id | https://openalex.org/I99065089 |
| authorships[1].institutions[0].ror | https://ror.org/03cve4549 |
| authorships[1].institutions[0].type | education |
| authorships[1].institutions[0].lineage | https://openalex.org/I99065089 |
| authorships[1].institutions[0].country_code | CN |
| authorships[1].institutions[0].display_name | Tsinghua University |
| authorships[1].author_position | middle |
| authorships[1].raw_author_name | Kaichun Zhao |
| authorships[1].is_corresponding | False |
| authorships[1].raw_affiliation_strings | Department of Precision Instrument, Tsinghua University, Beijing 100084, China; |
| authorships[2].author.id | https://openalex.org/A5070328216 |
| authorships[2].author.orcid | https://orcid.org/0000-0003-1366-0721 |
| authorships[2].author.display_name | Haoyuan Cheng |
| authorships[2].countries | CN |
| authorships[2].affiliations[0].institution_ids | https://openalex.org/I59028903 |
| authorships[2].affiliations[0].raw_affiliation_string | College of Engineering, Ocean University of China, Qingdao 266100, China; |
| authorships[2].institutions[0].id | https://openalex.org/I59028903 |
| authorships[2].institutions[0].ror | https://ror.org/04rdtx186 |
| authorships[2].institutions[0].type | education |
| authorships[2].institutions[0].lineage | https://openalex.org/I59028903 |
| authorships[2].institutions[0].country_code | CN |
| authorships[2].institutions[0].display_name | Ocean University of China |
| authorships[2].author_position | middle |
| authorships[2].raw_author_name | Haoyuan Cheng |
| authorships[2].is_corresponding | False |
| authorships[2].raw_affiliation_strings | College of Engineering, Ocean University of China, Qingdao 266100, China; |
| authorships[3].author.id | https://openalex.org/A5109909086 |
| authorships[3].author.orcid | |
| authorships[3].author.display_name | Peng Fu |
| authorships[3].author_position | last |
| authorships[3].raw_author_name | Peng Fu |
| authorships[3].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.preprints.org/manuscript/202310.0229/v1/download |
| open_access.oa_status | green |
| open_access.any_repository_has_fulltext | False |
| created_date | 2025-10-10T00:00:00 |
| display_name | Measurement Modeling and Performance Analysis of a Bionic Polarization Imaging Navigation Sensor Using Rayleigh Scattering to Generate Scattered Sunlight |
| has_fulltext | True |
| is_retracted | False |
| updated_date | 2025-11-06T03:46:38.306776 |
| primary_topic.id | https://openalex.org/T10851 |
| primary_topic.field.id | https://openalex.org/fields/22 |
| primary_topic.field.display_name | Engineering |
| primary_topic.score | 0.9947999715805054 |
| primary_topic.domain.id | https://openalex.org/domains/3 |
| primary_topic.domain.display_name | Physical Sciences |
| primary_topic.subfield.id | https://openalex.org/subfields/2208 |
| primary_topic.subfield.display_name | Electrical and Electronic Engineering |
| primary_topic.display_name | Optical Wireless Communication Technologies |
| related_works | https://openalex.org/W1983441360, https://openalex.org/W1979129154, https://openalex.org/W2331008491, https://openalex.org/W2553467462, https://openalex.org/W2125775971, https://openalex.org/W2106574814, https://openalex.org/W4292774867, https://openalex.org/W2534247915, https://openalex.org/W2803119265, https://openalex.org/W2541418790 |
| cited_by_count | 1 |
| counts_by_year[0].year | 2023 |
| counts_by_year[0].cited_by_count | 1 |
| locations_count | 1 |
| best_oa_location.id | doi:10.20944/preprints202310.0229.v1 |
| best_oa_location.is_oa | True |
| best_oa_location.source.id | https://openalex.org/S6309402219 |
| best_oa_location.source.issn | |
| best_oa_location.source.type | repository |
| best_oa_location.source.is_oa | True |
| best_oa_location.source.issn_l | |
| best_oa_location.source.is_core | False |
| best_oa_location.source.is_in_doaj | False |
| best_oa_location.source.display_name | Preprints.org |
| best_oa_location.source.host_organization | |
| best_oa_location.source.host_organization_name | |
| best_oa_location.source.host_organization_lineage | https://openalex.org/P4310310987 |
| best_oa_location.source.host_organization_lineage_names | Multidisciplinary Digital Publishing Institute |
| best_oa_location.license | cc-by |
| best_oa_location.pdf_url | https://www.preprints.org/manuscript/202310.0229/v1/download |
| best_oa_location.version | acceptedVersion |
| best_oa_location.raw_type | posted-content |
| best_oa_location.license_id | https://openalex.org/licenses/cc-by |
| best_oa_location.is_accepted | True |
| best_oa_location.is_published | False |
| best_oa_location.raw_source_name | |
| best_oa_location.landing_page_url | https://doi.org/10.20944/preprints202310.0229.v1 |
| primary_location.id | doi:10.20944/preprints202310.0229.v1 |
| primary_location.is_oa | True |
| primary_location.source.id | https://openalex.org/S6309402219 |
| primary_location.source.issn | |
| primary_location.source.type | repository |
| primary_location.source.is_oa | True |
| primary_location.source.issn_l | |
| primary_location.source.is_core | False |
| primary_location.source.is_in_doaj | False |
| primary_location.source.display_name | Preprints.org |
| primary_location.source.host_organization | |
| primary_location.source.host_organization_name | |
| primary_location.source.host_organization_lineage | https://openalex.org/P4310310987 |
| primary_location.source.host_organization_lineage_names | Multidisciplinary Digital Publishing Institute |
| primary_location.license | cc-by |
| primary_location.pdf_url | https://www.preprints.org/manuscript/202310.0229/v1/download |
| primary_location.version | acceptedVersion |
| primary_location.raw_type | posted-content |
| primary_location.license_id | https://openalex.org/licenses/cc-by |
| primary_location.is_accepted | True |
| primary_location.is_published | False |
| primary_location.raw_source_name | |
| primary_location.landing_page_url | https://doi.org/10.20944/preprints202310.0229.v1 |
| publication_date | 2023-10-04 |
| publication_year | 2023 |
| referenced_works | https://openalex.org/W3134059092, https://openalex.org/W3133934053, https://openalex.org/W4387327782, https://openalex.org/W4200144630, https://openalex.org/W6627971716, https://openalex.org/W1549157903, https://openalex.org/W2238546778, https://openalex.org/W2769662586, https://openalex.org/W3005004984, https://openalex.org/W2052037728, https://openalex.org/W2795848524, https://openalex.org/W2358414080, https://openalex.org/W2117364466, https://openalex.org/W2965121525, https://openalex.org/W2935828622, https://openalex.org/W2757723727, https://openalex.org/W2769432576, https://openalex.org/W2024174572, https://openalex.org/W2896985066, https://openalex.org/W3030087287, https://openalex.org/W2014613416, https://openalex.org/W582671684, https://openalex.org/W110022514, https://openalex.org/W655569401, https://openalex.org/W2771430529, https://openalex.org/W3038867823, https://openalex.org/W2461282369, https://openalex.org/W3122274106, https://openalex.org/W2774545276, https://openalex.org/W4382135471, https://openalex.org/W2040853177, https://openalex.org/W2998116482, https://openalex.org/W2400709823, https://openalex.org/W2338898812, https://openalex.org/W2132431813 |
| referenced_works_count | 35 |
| abstract_inverted_index.a | 8, 51, 125, 143 |
| abstract_inverted_index.an | 178 |
| abstract_inverted_index.as | 124 |
| abstract_inverted_index.by | 116, 147 |
| abstract_inverted_index.is | 7, 17, 92, 113 |
| abstract_inverted_index.it | 16 |
| abstract_inverted_index.of | 18, 27, 54, 65, 78, 90, 103, 111, 138, 151, 157, 171 |
| abstract_inverted_index.on | 96, 107 |
| abstract_inverted_index.to | 22, 120 |
| abstract_inverted_index.The | 0, 29, 130 |
| abstract_inverted_index.and | 15, 42, 62, 83, 153, 160, 173 |
| abstract_inverted_index.are | 32, 43, 80 |
| abstract_inverted_index.can | 166 |
| abstract_inverted_index.for | 181 |
| abstract_inverted_index.has | 142 |
| abstract_inverted_index.its | 97, 182 |
| abstract_inverted_index.key | 71 |
| abstract_inverted_index.not | 44 |
| abstract_inverted_index.the | 24, 60, 66, 70, 75, 84, 101, 104, 108, 135, 139, 168, 174 |
| abstract_inverted_index.CMOS | 152 |
| abstract_inverted_index.This | 48, 164 |
| abstract_inverted_index.into | 58 |
| abstract_inverted_index.lens | 162 |
| abstract_inverted_index.show | 133 |
| abstract_inverted_index.than | 39 |
| abstract_inverted_index.that | 11, 56, 134 |
| abstract_inverted_index.BPINS | 55, 79, 91, 112 |
| abstract_inverted_index.angle | 155 |
| abstract_inverted_index.based | 95 |
| abstract_inverted_index.error | 26, 72, 88, 99, 105, 156 |
| abstract_inverted_index.guide | 167 |
| abstract_inverted_index.known | 126 |
| abstract_inverted_index.light | 128 |
| abstract_inverted_index.model | 23, 53, 89 |
| abstract_inverted_index.paper | 49 |
| abstract_inverted_index.point | 141 |
| abstract_inverted_index.still | 33 |
| abstract_inverted_index.takes | 57 |
| abstract_inverted_index.using | 35, 117 |
| abstract_inverted_index.BPINS, | 172 |
| abstract_inverted_index.BPINS. | 28 |
| abstract_inverted_index.BPINSs | 31 |
| abstract_inverted_index.Stokes | 85 |
| abstract_inverted_index.array, | 159 |
| abstract_inverted_index.bionic | 1 |
| abstract_inverted_index.effect | 102 |
| abstract_inverted_index.errors | 64 |
| abstract_inverted_index.model, | 100 |
| abstract_inverted_index.rather | 38 |
| abstract_inverted_index.sensor | 5, 10 |
| abstract_inverted_index.source | 106 |
| abstract_inverted_index.(BPINS) | 6 |
| abstract_inverted_index.account | 59 |
| abstract_inverted_index.design. | 184 |
| abstract_inverted_index.enough. | 47 |
| abstract_inverted_index.factors | 73 |
| abstract_inverted_index.finally | 161 |
| abstract_inverted_index.finding | 165 |
| abstract_inverted_index.greater | 144 |
| abstract_inverted_index.imaging | 3, 40 |
| abstract_inverted_index.impact, | 145 |
| abstract_inverted_index.modeled | 34, 45 |
| abstract_inverted_index.optical | 67 |
| abstract_inverted_index.optimal | 183 |
| abstract_inverted_index.provide | 177 |
| abstract_inverted_index.results | 132, 176 |
| abstract_inverted_index.source. | 129 |
| abstract_inverted_index.system. | 68 |
| abstract_inverted_index.Firstly, | 69 |
| abstract_inverted_index.Rayleigh | 118 |
| abstract_inverted_index.absolute | 13 |
| abstract_inverted_index.accuracy | 77 |
| abstract_inverted_index.analyzed | 115 |
| abstract_inverted_index.existing | 30 |
| abstract_inverted_index.followed | 146 |
| abstract_inverted_index.generate | 121 |
| abstract_inverted_index.heading, | 14 |
| abstract_inverted_index.incident | 127 |
| abstract_inverted_index.proposes | 50 |
| abstract_inverted_index.provides | 12 |
| abstract_inverted_index.response | 149 |
| abstract_inverted_index.sunlight | 123 |
| abstract_inverted_index.Secondly, | 94 |
| abstract_inverted_index.affecting | 74 |
| abstract_inverted_index.deviation | 137 |
| abstract_inverted_index.geometric | 61 |
| abstract_inverted_index.grayscale | 148 |
| abstract_inverted_index.important | 179 |
| abstract_inverted_index.practical | 19 |
| abstract_inverted_index.principal | 140 |
| abstract_inverted_index.reference | 180 |
| abstract_inverted_index.scattered | 122 |
| abstract_inverted_index.coordinate | 136 |
| abstract_inverted_index.navigation | 4, 9 |
| abstract_inverted_index.scattering | 119 |
| abstract_inverted_index.subsequent | 169 |
| abstract_inverted_index.calibration | 170 |
| abstract_inverted_index.engineering | 20 |
| abstract_inverted_index.integration | 154 |
| abstract_inverted_index.measurement | 25, 52, 76, 87, 98, 109 |
| abstract_inverted_index.performance | 110 |
| abstract_inverted_index.attenuation. | 163 |
| abstract_inverted_index.established. | 93 |
| abstract_inverted_index.experimental | 131 |
| abstract_inverted_index.investigated | 82 |
| abstract_inverted_index.measurements | 37, 41 |
| abstract_inverted_index.polarization | 2, 63 |
| abstract_inverted_index.quantitative | 175 |
| abstract_inverted_index.significance | 21 |
| abstract_inverted_index.vector-based | 86 |
| abstract_inverted_index.inconsistency | 150 |
| abstract_inverted_index.quantitatively | 114 |
| abstract_inverted_index.systematically | 46, 81 |
| abstract_inverted_index.photodiode-based | 36 |
| abstract_inverted_index.micro-polarization | 158 |
| cited_by_percentile_year.max | 94 |
| cited_by_percentile_year.min | 89 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 4 |
| citation_normalized_percentile.value | 0.4830007 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |