{"id":"https://openalex.org/W2582511865","doi":"https://doi.org/10.1109/lgrs.2016.2631165","title":"Image Matching via Feature Fusion and Coherent Constraint","display_name":"Image Matching via Feature Fusion and Coherent Constraint","publication_year":2017,"publication_date":"2017-01-24","ids":{"openalex":"https://openalex.org/W2582511865","doi":"https://doi.org/10.1109/lgrs.2016.2631165","mag":"2582511865"},"language":"en","primary_location":{"id":"doi:10.1109/lgrs.2016.2631165","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2016.2631165","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/A5010771726","display_name":"Kun Sun","orcid":"https://orcid.org/0000-0002-9503-3969"},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Kun Sun","raw_affiliation_strings":["National Key Laboratory of Science and Technology on Multi-Spectral Information Processing, School of Automation, Huazhong University of Science and Technology, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"National Key Laboratory of Science and Technology on Multi-Spectral Information Processing, School of Automation, Huazhong University of Science and Technology, Wuhan, China","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018616266","display_name":"Liman Liu","orcid":"https://orcid.org/0000-0003-3775-8571"},"institutions":[{"id":"https://openalex.org/I174442536","display_name":"South Central University for Nationalities","ror":"https://ror.org/03d7sax13","country_code":"CN","type":"education","lineage":["https://openalex.org/I174442536"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liman Liu","raw_affiliation_strings":["School of Biomedical Engineering, South-Central University for Nationalities, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"School of Biomedical Engineering, South-Central University for Nationalities, Wuhan, China","institution_ids":["https://openalex.org/I174442536"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5087239641","display_name":"Wenbing Tao","orcid":"https://orcid.org/0000-0003-3284-864X"},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenbing Tao","raw_affiliation_strings":["National Key Laboratory of Science and Technology on Multi-Spectral Information Processing, School of Automation, Huazhong University of Science and Technology, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"National Key Laboratory of Science and Technology on Multi-Spectral Information Processing, School of Automation, Huazhong University of Science and Technology, Wuhan, China","institution_ids":["https://openalex.org/I47720641"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5010771726"],"corresponding_institution_ids":["https://openalex.org/I47720641"],"apc_list":null,"apc_paid":null,"fwci":0.8192,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.81674633,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"14","issue":"3","first_page":"289","last_page":"293"},"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9957000017166138,"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":0.9916999936103821,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/outlier","display_name":"Outlier","score":0.7106202840805054},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6941848397254944},{"id":"https://openalex.org/keywords/point-set-registration","display_name":"Point set registration","score":0.6867172718048096},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.64798903465271},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6177650690078735},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.5975111126899719},{"id":"https://openalex.org/keywords/subspace-topology","display_name":"Subspace topology","score":0.5959645509719849},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5672404766082764},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5558112859725952},{"id":"https://openalex.org/keywords/constraint","display_name":"Constraint (computer-aided design)","score":0.5243699550628662},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.48661813139915466},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.4835083782672882},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4570768475532532},{"id":"https://openalex.org/keywords/mixture-model","display_name":"Mixture model","score":0.42309367656707764},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.36535385251045227},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.3604901432991028}],"concepts":[{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.7106202840805054},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6941848397254944},{"id":"https://openalex.org/C200336642","wikidata":"https://www.wikidata.org/wiki/Q15058706","display_name":"Point set registration","level":3,"score":0.6867172718048096},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.64798903465271},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6177650690078735},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.5975111126899719},{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.5959645509719849},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5672404766082764},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5558112859725952},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.5243699550628662},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.48661813139915466},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.4835083782672882},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4570768475532532},{"id":"https://openalex.org/C61224824","wikidata":"https://www.wikidata.org/wiki/Q2260434","display_name":"Mixture model","level":2,"score":0.42309367656707764},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.36535385251045227},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.3604901432991028},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","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/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lgrs.2016.2631165","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2016.2631165","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":[{"id":"https://openalex.org/G1495694070","display_name":null,"funder_award_id":"61371140","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1635614328","display_name":null,"funder_award_id":"2015CFA062","funder_id":"https://openalex.org/F4320322186","funder_display_name":"Natural Science Foundation of Hubei Province"},{"id":"https://openalex.org/G6594180736","display_name":null,"funder_award_id":"2015BAA133","funder_id":"https://openalex.org/F4320322186","funder_display_name":"Natural Science Foundation of Hubei Province"},{"id":"https://openalex.org/G7877973451","display_name":null,"funder_award_id":"61305044","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322186","display_name":"Natural Science Foundation of Hubei Province","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W1510689320","https://openalex.org/W1561797649","https://openalex.org/W1573483041","https://openalex.org/W1976648516","https://openalex.org/W1984434739","https://openalex.org/W2015741635","https://openalex.org/W2044520258","https://openalex.org/W2047243114","https://openalex.org/W2061240977","https://openalex.org/W2066941820","https://openalex.org/W2085854288","https://openalex.org/W2103375950","https://openalex.org/W2130022282","https://openalex.org/W2134236847","https://openalex.org/W2151103935","https://openalex.org/W2177274842","https://openalex.org/W2468367546","https://openalex.org/W6675352095","https://openalex.org/W6997266731"],"related_works":["https://openalex.org/W1980381208","https://openalex.org/W2364594919","https://openalex.org/W1861706286","https://openalex.org/W2219338811","https://openalex.org/W2167092671","https://openalex.org/W2149583853","https://openalex.org/W1995723671","https://openalex.org/W2164647769","https://openalex.org/W2151402979","https://openalex.org/W2955958993"],"abstract_inverted_index":{"The":[0,58,95],"Gaussian":[1],"mixture":[2],"model":[3],"(GMM)-based":[4],"methods":[5],"have":[6],"achieved":[7],"great":[8],"success":[9],"in":[10,80],"point":[11],"set":[12],"registration.":[13],"However,":[14],"they":[15],"cannot":[16],"be":[17],"directly":[18],"applied":[19],"to":[20,45,50,87,106],"image":[21,54],"matching,":[22],"because":[23],"the":[24,47,51,66,72,89,93,104,110,124,136],"features":[25],"extracted":[26,70],"from":[27,71],"two":[28,62],"images":[29,73],"usually":[30],"contain":[31],"a":[32,42,77],"large":[33,119],"portion":[34],"of":[35,53,61,92],"outliers.":[36],"In":[37,65,113],"this":[38,114],"letter,":[39],"we":[40],"propose":[41],"new":[43,78,90],"method":[44,138],"extend":[46],"powerful":[48],"GMM":[49,105],"field":[52],"feature":[55,82],"points":[56,69],"matching.":[57],"algorithm":[59],"consists":[60],"main":[63],"steps.":[64],"first":[67],"step,":[68],"are":[74],"mapped":[75],"into":[76],"subspace,":[79],"which":[81],"similarity":[83],"information":[84],"is":[85,121],"fused":[86],"get":[88],"representation":[91],"points.":[94],"second":[96],"step":[97],"performs":[98],"an":[99],"improved":[100],"progressive":[101],"process":[102],"with":[103,144],"find":[107,140],"correspondences":[108,117],"satisfying":[109],"coherent":[111],"constraint.":[112],"way,":[115],"finding":[116],"among":[118],"outliers":[120],"feasible":[122],"and":[123],"iteration":[125],"converges":[126],"faster.":[127],"Experimental":[128],"results":[129],"on":[130],"benchmark":[131],"data":[132],"sets":[133],"show":[134],"that":[135],"proposed":[137],"can":[139],"more":[141],"correct":[142],"matches":[143],"high":[145],"accuracy.":[146]},"counts_by_year":[{"year":2023,"cited_by_count":3},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":6},{"year":2017,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}