{"id":"https://openalex.org/W4312649969","doi":"https://doi.org/10.1109/lgrs.2022.3221955","title":"Multispectral Image Matching Considering Absolute Phase Consistency Gradient and Log-Polar Description","display_name":"Multispectral Image Matching Considering Absolute Phase Consistency Gradient and Log-Polar Description","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4312649969","doi":"https://doi.org/10.1109/lgrs.2022.3221955"},"language":"en","primary_location":{"id":"doi:10.1109/lgrs.2022.3221955","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2022.3221955","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/A5016334568","display_name":"Qiang Xiong","orcid":"https://orcid.org/0000-0001-9675-8411"},"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"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiang Xiong","raw_affiliation_strings":["School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0001-9675-8411","affiliations":[{"raw_affiliation_string":"School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088202494","display_name":"Shenghui Fang","orcid":"https://orcid.org/0000-0002-2646-6090"},"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"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shenghui Fang","raw_affiliation_strings":["School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0002-2646-6090","affiliations":[{"raw_affiliation_string":"School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100411358","display_name":"Xiaojuan Liu","orcid":"https://orcid.org/0000-0002-9351-3547"},"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"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaojuan Liu","raw_affiliation_strings":["School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103261995","display_name":"Xueqin Jiang","orcid":"https://orcid.org/0000-0002-7066-3243"},"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"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xueqin Jiang","raw_affiliation_strings":["School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5040923326","display_name":"Yongfei Lv","orcid":null},"institutions":[{"id":"https://openalex.org/I4210100137","display_name":"Kaifeng University","ror":"https://ror.org/012nfwd22","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210100137"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yongfei Lv","raw_affiliation_strings":["Henan Kaifeng College of Science Technology and Communication, Kaifeng, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Henan Kaifeng College of Science Technology and Communication, Kaifeng, China","institution_ids":["https://openalex.org/I4210100137"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.2721,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.89080982,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"19","issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12389","display_name":"Infrared Target Detection Methodologies","score":0.9958000183105469,"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"}},"topics":[{"id":"https://openalex.org/T12389","display_name":"Infrared Target Detection Methodologies","score":0.9958000183105469,"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9940000176429749,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9936000108718872,"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/multispectral-image","display_name":"Multispectral image","score":0.8044790029525757},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.6803877353668213},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.67093825340271},{"id":"https://openalex.org/keywords/scale-invariant-feature-transform","display_name":"Scale-invariant feature transform","score":0.6535893082618713},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5639312863349915},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5387054681777954},{"id":"https://openalex.org/keywords/histogram-matching","display_name":"Histogram matching","score":0.5201880931854248},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5098713636398315},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.4977869987487793},{"id":"https://openalex.org/keywords/multispectral-pattern-recognition","display_name":"Multispectral pattern recognition","score":0.46027278900146484},{"id":"https://openalex.org/keywords/euclidean-distance","display_name":"Euclidean distance","score":0.44095680117607117},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4312569200992584},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.41433221101760864},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3656296730041504},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.14439988136291504}],"concepts":[{"id":"https://openalex.org/C173163844","wikidata":"https://www.wikidata.org/wiki/Q1761440","display_name":"Multispectral image","level":2,"score":0.8044790029525757},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.6803877353668213},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.67093825340271},{"id":"https://openalex.org/C61265191","wikidata":"https://www.wikidata.org/wiki/Q767770","display_name":"Scale-invariant feature transform","level":3,"score":0.6535893082618713},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5639312863349915},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5387054681777954},{"id":"https://openalex.org/C127449775","wikidata":"https://www.wikidata.org/wiki/Q3785871","display_name":"Histogram matching","level":4,"score":0.5201880931854248},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5098713636398315},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.4977869987487793},{"id":"https://openalex.org/C104541649","wikidata":"https://www.wikidata.org/wiki/Q6935090","display_name":"Multispectral pattern recognition","level":3,"score":0.46027278900146484},{"id":"https://openalex.org/C120174047","wikidata":"https://www.wikidata.org/wiki/Q847073","display_name":"Euclidean distance","level":2,"score":0.44095680117607117},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4312569200992584},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.41433221101760864},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3656296730041504},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.14439988136291504},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","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/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lgrs.2022.3221955","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2022.3221955","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/G2109721314","display_name":null,"funder_award_id":"2013AA102401","funder_id":"https://openalex.org/F4320335773","funder_display_name":"National High-tech Research and Development Program"}],"funders":[{"id":"https://openalex.org/F4320335773","display_name":"National High-tech Research and Development Program","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W1677409904","https://openalex.org/W1955055330","https://openalex.org/W1974450833","https://openalex.org/W2070586616","https://openalex.org/W2109506130","https://openalex.org/W2114147217","https://openalex.org/W2117228865","https://openalex.org/W2138943513","https://openalex.org/W2143827543","https://openalex.org/W2151103935","https://openalex.org/W2164822588","https://openalex.org/W2177274842","https://openalex.org/W2294464339","https://openalex.org/W2313528501","https://openalex.org/W2733413038","https://openalex.org/W2752130971","https://openalex.org/W2792119716","https://openalex.org/W2891395929","https://openalex.org/W2943394081","https://openalex.org/W3009919868","https://openalex.org/W3131096279","https://openalex.org/W3160565231","https://openalex.org/W3203369691","https://openalex.org/W6637400245"],"related_works":["https://openalex.org/W2063253123","https://openalex.org/W2128126485","https://openalex.org/W1995889410","https://openalex.org/W4382563209","https://openalex.org/W2124952510","https://openalex.org/W1752760603","https://openalex.org/W2777937183","https://openalex.org/W2108633818","https://openalex.org/W1517037119","https://openalex.org/W2138664739"],"abstract_inverted_index":{"Due":[0],"to":[1,17,26,54,79,116],"different":[2],"imaging":[3],"mechanisms":[4],"bringing":[5],"significant":[6],"nonlinear":[7,63],"radiation":[8],"differences":[9],"(NRDs),":[10],"traditional":[11],"feature":[12,71,152],"matching":[13,29],"methods":[14],"are":[15],"difficult":[16],"obtain":[18],"satisfactory":[19],"results":[20,138],"for":[21,69],"multispectral":[22,27,59,134],"images.":[23,60,135],"The":[24,124,136],"key":[25],"image":[28],"is":[30,67,77,97,114,143],"eliminating":[31],"the":[32,46,56,62,74,81,88,91,121,146],"NRDs":[33,57],"and":[34,51,108,173,183],"extracting":[35],"more":[36],"robust":[37],"features.":[38],"This":[39],"letter":[40],"proposed":[41,115,125],"a":[42,100],"novel":[43],"descriptor":[44,127,160,164,169],"combining":[45],"phase":[47],"consistency":[48],"(PC)":[49],"gradient":[50],"log-polar":[52,89],"coordinates":[53],"solve":[55],"of":[58,93,133,175],"First,":[61],"weighted":[64],"moment":[65],"(NWM)":[66],"constructed":[68],"detecting":[70],"points.":[72],"Then,":[73],"PC":[75,83,94,166],"model":[76],"extended":[78],"construct":[80],"absolute":[82],"orientation":[84],"gradient.":[85],"Combined":[86],"with":[87,103],"description,":[90],"histogram":[92,156,159,163,168,174],"gradients":[95],"(HPCG)":[96],"established.":[98],"Finally,":[99],"purification":[101],"algorithm":[102],"dynamic":[104],"adaptive":[105],"Euclidean":[106],"distance":[107],"fast":[109],"sample":[110],"consensus":[111],"(FSC)":[112],"constraints":[113],"eliminate":[117],"mismatches":[118],"while":[119],"retaining":[120],"correct":[122],"matches.":[123],"HPCG":[126],"was":[128],"evaluated":[129],"using":[130],"six":[131],"groups":[132],"experimental":[137],"show":[139],"that":[140],"our":[141],"method":[142],"better":[144],"than":[145],"other":[147],"seven":[148],"descriptors":[149],"[i.e.,":[150],"scale-invariant":[151],"transform":[153],"(SIFT),":[154],"edge-oriented":[155],"(EOH),":[157],"edge":[158,167],"(EHD),":[161],"log-Gabor":[162],"(LGHD),":[165],"(PCEHD),":[170],"optical-to-SAR-SIFT":[171],"(OSSIFT),":[172],"oriented":[176],"self-similarity":[177],"(HOSS)],":[178],"which":[179],"have":[180],"strong":[181],"adaptability":[182],"robustness.":[184]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}