{"id":"https://openalex.org/W2022281945","doi":"https://doi.org/10.1109/lgrs.2013.2267771","title":"A Robust Point-Matching Algorithm for Remote Sensing Image Registration","display_name":"A Robust Point-Matching Algorithm for Remote Sensing Image Registration","publication_year":2013,"publication_date":"2013-07-09","ids":{"openalex":"https://openalex.org/W2022281945","doi":"https://doi.org/10.1109/lgrs.2013.2267771","mag":"2022281945"},"language":"en","primary_location":{"id":"doi:10.1109/lgrs.2013.2267771","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2013.2267771","pdf_url":null,"source":{"id":"https://openalex.org/S126920919","display_name":"IEEE Geoscience and Remote Sensing Letters","issn_l":"1545-598X","issn":["1545-598X","1558-0571"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Geoscience and Remote Sensing Letters","raw_type":"journal-article"},"type":"article","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/A5100323909","display_name":"Kai Zhang","orcid":"https://orcid.org/0000-0001-8617-2855"},"institutions":[{"id":"https://openalex.org/I4210151155","display_name":"Academy of Opto-Electronics","ror":"https://ror.org/04acsr153","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210151155"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kai Zhang","raw_affiliation_strings":["University of Chinese Academy of Sciences, Beijing, China","Acad. of Opto-Electron., Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210165038"]},{"raw_affiliation_string":"Acad. of Opto-Electron., Beijing, China","institution_ids":["https://openalex.org/I4210151155"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103212977","display_name":"Xuzhi Li","orcid":"https://orcid.org/0000-0003-3731-1251"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210086028","display_name":"Technology and Engineering Center for Space Utilization","ror":"https://ror.org/00cn03n83","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210086028"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"XuZhi Li","raw_affiliation_strings":["Chinese Academy of Sciences, Technology and Engineering Center for Space Utilization, Beijing, China","Technol. & Eng. Center for Space Utilization, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences, Technology and Engineering Center for Space Utilization, Beijing, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210086028"]},{"raw_affiliation_string":"Technol. & Eng. Center for Space Utilization, Beijing, China","institution_ids":["https://openalex.org/I4210086028"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5075353865","display_name":"Jiuxing Zhang","orcid":"https://orcid.org/0000-0002-6244-0023"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210086028","display_name":"Technology and Engineering Center for Space Utilization","ror":"https://ror.org/00cn03n83","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210086028"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"JiuXing Zhang","raw_affiliation_strings":["Chinese Academy of Sciences, Technology and Engineering Center for Space Utilization, Beijing, China","Technol. & Eng. Center for Space Utilization, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences, Technology and Engineering Center for Space Utilization, Beijing, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210086028"]},{"raw_affiliation_string":"Technol. & Eng. Center for Space Utilization, Beijing, China","institution_ids":["https://openalex.org/I4210086028"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":2645,"currency":"USD","value_usd":2645},"apc_paid":null,"fwci":6.4594,"has_fulltext":false,"cited_by_count":59,"citation_normalized_percentile":{"value":0.96664139,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"11","issue":"2","first_page":"469","last_page":"473"},"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":0.9997000098228455,"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":0.9997000098228455,"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":0.9983000159263611,"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/T12292","display_name":"Graph Theory and Algorithms","score":0.9846000075340271,"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/outlier","display_name":"Outlier","score":0.7987507581710815},{"id":"https://openalex.org/keywords/point-set-registration","display_name":"Point set registration","score":0.7837985754013062},{"id":"https://openalex.org/keywords/affine-transformation","display_name":"Affine transformation","score":0.7107541561126709},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6659080386161804},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6236155033111572},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.5616579055786133},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5462758541107178},{"id":"https://openalex.org/keywords/image-registration","display_name":"Image registration","score":0.5199500322341919},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.497632771730423},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.49428725242614746},{"id":"https://openalex.org/keywords/k-nearest-neighbors-algorithm","display_name":"k-nearest neighbors algorithm","score":0.4800201952457428},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.444539338350296},{"id":"https://openalex.org/keywords/blossom-algorithm","display_name":"Blossom algorithm","score":0.42450612783432007},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3868415057659149},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.38521838188171387},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.35870927572250366},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2992233633995056},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.06868082284927368}],"concepts":[{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.7987507581710815},{"id":"https://openalex.org/C200336642","wikidata":"https://www.wikidata.org/wiki/Q15058706","display_name":"Point set registration","level":3,"score":0.7837985754013062},{"id":"https://openalex.org/C92757383","wikidata":"https://www.wikidata.org/wiki/Q382497","display_name":"Affine transformation","level":2,"score":0.7107541561126709},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6659080386161804},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6236155033111572},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.5616579055786133},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5462758541107178},{"id":"https://openalex.org/C166704113","wikidata":"https://www.wikidata.org/wiki/Q861092","display_name":"Image registration","level":3,"score":0.5199500322341919},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.497632771730423},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.49428725242614746},{"id":"https://openalex.org/C113238511","wikidata":"https://www.wikidata.org/wiki/Q1071612","display_name":"k-nearest neighbors algorithm","level":2,"score":0.4800201952457428},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.444539338350296},{"id":"https://openalex.org/C61455927","wikidata":"https://www.wikidata.org/wiki/Q1030529","display_name":"Blossom algorithm","level":3,"score":0.42450612783432007},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3868415057659149},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.38521838188171387},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.35870927572250366},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2992233633995056},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.06868082284927368},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","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},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lgrs.2013.2267771","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2013.2267771","pdf_url":null,"source":{"id":"https://openalex.org/S126920919","display_name":"IEEE Geoscience and Remote Sensing Letters","issn_l":"1545-598X","issn":["1545-598X","1558-0571"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Geoscience and Remote Sensing Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320308668","display_name":"University of Southern California","ror":"https://ror.org/03taz7m60"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W1989443316","https://openalex.org/W1995921081","https://openalex.org/W2033379850","https://openalex.org/W2049981393","https://openalex.org/W2076321176","https://openalex.org/W2085261163","https://openalex.org/W2113738356","https://openalex.org/W2116801532","https://openalex.org/W2139309694","https://openalex.org/W2151103935","https://openalex.org/W2177274842"],"related_works":["https://openalex.org/W2037143534","https://openalex.org/W2888631859","https://openalex.org/W2357811830","https://openalex.org/W3154360165","https://openalex.org/W2067230404","https://openalex.org/W2369594106","https://openalex.org/W2171028602","https://openalex.org/W3037197017","https://openalex.org/W2110013921","https://openalex.org/W4283722850"],"abstract_inverted_index":{"Feature":[0],"point":[1,27],"matching":[2,83,97],"is":[3,19,22,46],"a":[4,14],"critical":[5],"step":[6],"in":[7],"feature-based":[8],"image":[9],"registration.":[10],"In":[11],"this":[12],"letter,":[13],"highly":[15],"robust":[16],"feature-point-matching":[17],"algorithm":[18],"proposed,":[20],"which":[21],"based":[23],"on":[24],"the":[25,31,36,50,55,62,73,78,81,87],"feature":[26],"descriptor":[28,44],"calculated":[29],"by":[30,61],"triangle-area":[32],"representation":[33],"(TAR)":[34],"of":[35,90],"K":[37],"nearest":[38],"neighbors":[39],"(KNN-TAR).":[40],"The":[41,68],"affine":[42],"invariant":[43],"KNN-TAR":[45,102],"used":[47],"to":[48],"find":[49],"candidate":[51],"outliers,":[52],"and":[53,65,98,109],"then,":[54],"real":[56],"outliers":[57,79,88],"will":[58],"be":[59],"removed":[60],"local":[63],"structure":[64],"global":[66],"information.":[67],"experimental":[69],"results":[70],"show":[71],"that":[72],"proposed":[74],"method":[75],"can":[76],"remove":[77],"from":[80],"initial":[82],"result":[84],"even":[85],"when":[86],"are":[89],"high":[91],"proportion.":[92],"Compared":[93],"with":[94,106],"graph":[95],"transformation":[96],"restricted":[99],"spatial-order":[100],"constraints,":[101],"outperforms":[103],"these":[104],"methods":[105],"higher":[107],"stability":[108],"precision.":[110]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":6},{"year":2019,"cited_by_count":6},{"year":2018,"cited_by_count":8},{"year":2017,"cited_by_count":7},{"year":2016,"cited_by_count":10},{"year":2015,"cited_by_count":8},{"year":2014,"cited_by_count":2}],"updated_date":"2026-08-21T09:56:20.448147","created_date":"2025-10-10T00:00:00"}