{"id":"https://openalex.org/W3206422812","doi":"https://doi.org/10.1109/igarss47720.2021.9553920","title":"Robust Feature Matching Using Motion Consistency and Geometrical Constraint for UAV Images","display_name":"Robust Feature Matching Using Motion Consistency and Geometrical Constraint for UAV Images","publication_year":2021,"publication_date":"2021-07-11","ids":{"openalex":"https://openalex.org/W3206422812","doi":"https://doi.org/10.1109/igarss47720.2021.9553920","mag":"3206422812"},"language":"en","primary_location":{"id":"doi:10.1109/igarss47720.2021.9553920","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss47720.2021.9553920","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101955566","display_name":"Tong Qiao","orcid":"https://orcid.org/0009-0003-6665-8630"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]},{"id":"https://openalex.org/I4210118728","display_name":"State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing","ror":"https://ror.org/02bpap860","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210118728"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tong Qiao","raw_affiliation_strings":["State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747","https://openalex.org/I4210118728"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103249223","display_name":"Hanjiang Xiong","orcid":"https://orcid.org/0000-0003-3949-6368"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]},{"id":"https://openalex.org/I4210118728","display_name":"State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing","ror":"https://ror.org/02bpap860","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210118728"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hanjiang Xiong","raw_affiliation_strings":["State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747","https://openalex.org/I4210118728"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5063225294","display_name":"Xianwei Zheng","orcid":"https://orcid.org/0000-0001-9783-3030"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]},{"id":"https://openalex.org/I4210118728","display_name":"State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing","ror":"https://ror.org/02bpap860","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210118728"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xianwei Zheng","raw_affiliation_strings":["State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747","https://openalex.org/I4210118728"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"96","issue":null,"first_page":"2254","last_page":"2257"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9944999814033508,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7736046314239502},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7202422022819519},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5947140455245972},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5852981805801392},{"id":"https://openalex.org/keywords/constraint","display_name":"Constraint (computer-aided design)","score":0.5495504140853882},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.5277992486953735},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.47971194982528687},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.44294804334640503},{"id":"https://openalex.org/keywords/precision-and-recall","display_name":"Precision and recall","score":0.4402015805244446},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.41671133041381836},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.405509889125824},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3249874711036682}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7736046314239502},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7202422022819519},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5947140455245972},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5852981805801392},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.5495504140853882},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.5277992486953735},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.47971194982528687},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.44294804334640503},{"id":"https://openalex.org/C81669768","wikidata":"https://www.wikidata.org/wiki/Q2359161","display_name":"Precision and recall","level":2,"score":0.4402015805244446},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.41671133041381836},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.405509889125824},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3249874711036682},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss47720.2021.9553920","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss47720.2021.9553920","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W1673310716","https://openalex.org/W2085261163","https://openalex.org/W2106199912","https://openalex.org/W2117228865","https://openalex.org/W2151103935","https://openalex.org/W2740578684","https://openalex.org/W2754925132","https://openalex.org/W2970141505","https://openalex.org/W3092933908","https://openalex.org/W6637131181"],"related_works":["https://openalex.org/W1603736412","https://openalex.org/W1972035260","https://openalex.org/W4304185162","https://openalex.org/W2061685118","https://openalex.org/W3006282800","https://openalex.org/W2807251790","https://openalex.org/W2462100143","https://openalex.org/W1510768092","https://openalex.org/W2611003898","https://openalex.org/W2230808081"],"abstract_inverted_index":{"Establishing":[0],"feature":[1,43],"correspondence":[2],"between":[3],"unmanned":[4],"aerial":[5],"vehicle":[6],"(UAV)":[7],"images":[8,60],"is":[9],"a":[10,41,56,65,81,110,147,165],"fundamental":[11],"task":[12],"in":[13,33,91,104,127,141,182],"photogrammetry":[14],"and":[15,49,64,108,145,186],"remote":[16],"sensing.":[17],"However,":[18],"existing":[19],"methods":[20],"still":[21],"suffer":[22],"from":[23],"noisy":[24],"matches":[25,71],"due":[26],"to":[27,113],"the":[28,69,77,95,105,115,123,128,133,137,142,155,175],"cluttered":[29],"ground":[30],"objects":[31],"presented":[32],"UAV":[34,53,59,170],"images.":[35,54],"In":[36],"this":[37],"paper,":[38],"we":[39,74,98,121],"proposed":[40,176],"novel":[42],"matching":[44,102,156],"method":[45,177],"combining":[46],"motion":[47,134],"smoothness":[48],"geometrical":[50],"constraint":[51],"for":[52,88],"Given":[55],"pair":[57],"of":[58,84,94,158,167,184],"(a":[61],"left":[62,78,96,143],"one":[63],"right":[66,106,129],"one),":[67],"once":[68],"putative":[70],"were":[72],"generated,":[73],"first":[75],"divide":[76],"image":[79,130,171],"into":[80,118],"certain":[82],"number":[83],"non-overlapping":[85],"regions.":[86],"Then,":[87],"local":[89,148],"features":[90],"each":[92],"region":[93,138],"image,":[97,107,144],"find":[99],"their":[100],"corresponding":[101],"points":[103,117],"perform":[109],"DBSCAN":[111],"[1]":[112],"cluster":[114],"found":[116],"groups.":[119],"Finally,":[120],"determine":[122],"group":[124,157],"(of":[125,139],"points)":[126,140],"which":[131],"preserves":[132],"consistency":[135],"with":[136],"satisfy":[146],"polar":[149],"coordinate":[150],"system-based":[151],"geometric":[152],"constraint,":[153],"as":[154],"that":[159,174],"region.":[160],"Extensive":[161],"experiments":[162],"conducted":[163],"on":[164],"set":[166],"different":[168],"conditioned":[169],"pairs,":[172],"show":[173],"can":[178],"achieve":[179],"good":[180],"performance":[181],"terms":[183],"precision":[185],"recall,":[187],"outperforming":[188],"those":[189],"comparison":[190],"methods.":[191]},"counts_by_year":[],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}