{"id":"https://openalex.org/W4390187461","doi":"https://doi.org/10.1109/tgrs.2023.3347259","title":"Multimodal Remote Sensing Image Matching Based on Weighted Structure Saliency Feature","display_name":"Multimodal Remote Sensing Image Matching Based on Weighted Structure Saliency Feature","publication_year":2023,"publication_date":"2023-12-25","ids":{"openalex":"https://openalex.org/W4390187461","doi":"https://doi.org/10.1109/tgrs.2023.3347259"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2023.3347259","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2023.3347259","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"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 Transactions on Geoscience and Remote Sensing","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/A5080381894","display_name":"Genyi Wan","orcid":"https://orcid.org/0009-0007-5903-9398"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Genyi Wan","raw_affiliation_strings":["College of Surveying and Geo-Informatics and the Shanghai Key Laboratory for Planetary Mapping and Remote Sensing for Deep Space Exploration, Tongji University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Surveying and Geo-Informatics and the Shanghai Key Laboratory for Planetary Mapping and Remote Sensing for Deep Space Exploration, Tongji University, Shanghai, China","institution_ids":["https://openalex.org/I116953780"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073808631","display_name":"Zhen Ye","orcid":"https://orcid.org/0000-0002-7178-9817"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhen Ye","raw_affiliation_strings":["College of Surveying and Geo-Informatics and the Shanghai Key Laboratory for Planetary Mapping and Remote Sensing for Deep Space Exploration, Tongji University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0002-7178-9817","affiliations":[{"raw_affiliation_string":"College of Surveying and Geo-Informatics and the Shanghai Key Laboratory for Planetary Mapping and Remote Sensing for Deep Space Exploration, Tongji University, Shanghai, China","institution_ids":["https://openalex.org/I116953780"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100419175","display_name":"Yusheng Xu","orcid":"https://orcid.org/0000-0001-5571-7808"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yusheng Xu","raw_affiliation_strings":["College of Surveying and Geo-Informatics and the Shanghai Key Laboratory for Planetary Mapping and Remote Sensing for Deep Space Exploration, Tongji University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0001-5571-7808","affiliations":[{"raw_affiliation_string":"College of Surveying and Geo-Informatics and the Shanghai Key Laboratory for Planetary Mapping and Remote Sensing for Deep Space Exploration, Tongji University, Shanghai, China","institution_ids":["https://openalex.org/I116953780"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032140742","display_name":"Rong Huang","orcid":"https://orcid.org/0000-0002-4491-6059"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Rong Huang","raw_affiliation_strings":["College of Surveying and Geo-Informatics and the Shanghai Key Laboratory for Planetary Mapping and Remote Sensing for Deep Space Exploration, Tongji University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0002-4491-6059","affiliations":[{"raw_affiliation_string":"College of Surveying and Geo-Informatics and the Shanghai Key Laboratory for Planetary Mapping and Remote Sensing for Deep Space Exploration, Tongji University, Shanghai, China","institution_ids":["https://openalex.org/I116953780"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100681370","display_name":"Yingying Zhou","orcid":"https://orcid.org/0009-0001-5217-389X"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yingying Zhou","raw_affiliation_strings":["College of Surveying and Geo-Informatics and the Shanghai Key Laboratory for Planetary Mapping and Remote Sensing for Deep Space Exploration, Tongji University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Surveying and Geo-Informatics and the Shanghai Key Laboratory for Planetary Mapping and Remote Sensing for Deep Space Exploration, Tongji University, Shanghai, China","institution_ids":["https://openalex.org/I116953780"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008163978","display_name":"Huan Xie","orcid":"https://orcid.org/0000-0003-3272-7848"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huan Xie","raw_affiliation_strings":["College of Surveying and Geo-Informatics and the Shanghai Key Laboratory for Planetary Mapping and Remote Sensing for Deep Space Exploration, Tongji University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0003-3272-7848","affiliations":[{"raw_affiliation_string":"College of Surveying and Geo-Informatics and the Shanghai Key Laboratory for Planetary Mapping and Remote Sensing for Deep Space Exploration, Tongji University, Shanghai, China","institution_ids":["https://openalex.org/I116953780"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5039348214","display_name":"Xiaohua Tong","orcid":"https://orcid.org/0000-0002-1045-3797"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaohua Tong","raw_affiliation_strings":["College of Surveying and Geo-Informatics and the Shanghai Key Laboratory for Planetary Mapping and Remote Sensing for Deep Space Exploration, Tongji University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0002-1045-3797","affiliations":[{"raw_affiliation_string":"College of Surveying and Geo-Informatics and the Shanghai Key Laboratory for Planetary Mapping and Remote Sensing for Deep Space Exploration, Tongji University, Shanghai, China","institution_ids":["https://openalex.org/I116953780"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I116953780"],"apc_list":null,"apc_paid":null,"fwci":4.3202,"has_fulltext":false,"cited_by_count":44,"citation_normalized_percentile":{"value":0.9599317,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"62","issue":null,"first_page":"1","last_page":"16"},"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":0.9968000054359436,"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":0.9968000054359436,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9771999716758728,"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/T12389","display_name":"Infrared Target Detection Methodologies","score":0.9699000120162964,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.756005048751831},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6509313583374023},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6174610257148743},{"id":"https://openalex.org/keywords/scale-invariant-feature-transform","display_name":"Scale-invariant feature transform","score":0.595149040222168},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5467743277549744},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5235304832458496},{"id":"https://openalex.org/keywords/phase-congruency","display_name":"Phase congruency","score":0.5140984654426575},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.5020983219146729},{"id":"https://openalex.org/keywords/orientation","display_name":"Orientation (vector space)","score":0.44196629524230957},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.3898829221725464},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.32713446021080017}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.756005048751831},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6509313583374023},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6174610257148743},{"id":"https://openalex.org/C61265191","wikidata":"https://www.wikidata.org/wiki/Q767770","display_name":"Scale-invariant feature transform","level":3,"score":0.595149040222168},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5467743277549744},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5235304832458496},{"id":"https://openalex.org/C2777316791","wikidata":"https://www.wikidata.org/wiki/Q17105246","display_name":"Phase congruency","level":3,"score":0.5140984654426575},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.5020983219146729},{"id":"https://openalex.org/C16345878","wikidata":"https://www.wikidata.org/wiki/Q107472979","display_name":"Orientation (vector space)","level":2,"score":0.44196629524230957},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.3898829221725464},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.32713446021080017},{"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},{"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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tgrs.2023.3347259","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2023.3347259","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"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 Transactions on Geoscience and Remote Sensing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/13","display_name":"Climate action","score":0.6299999952316284}],"awards":[{"id":"https://openalex.org/G161248764","display_name":"\u7efc\u5408\u591a\u6e90\u89c2\u6d4b\u6570\u636e\u7684\u9ad8\u5206\u8fa8\u7387\u536b\u661f\u98a4\u632f\u7cbe\u51c6\u63a2\u6d4b\u8865\u507f\u4e0e\u65f6\u53d8\u89c4\u5f8b\u5efa \u6a21\u65b9\u6cd5\u7814\u7a76","funder_award_id":"21ZR1468100","funder_id":"https://openalex.org/F4320309612","funder_display_name":"Natural Science Foundation of Shanghai"},{"id":"https://openalex.org/G2579900729","display_name":null,"funder_award_id":"42241168","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5653774733","display_name":null,"funder_award_id":"42201478","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G715021712","display_name":null,"funder_award_id":"2022YFF0504100","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G8564140012","display_name":null,"funder_award_id":"42101447","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320309612","display_name":"Natural Science Foundation of Shanghai","ror":null},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":64,"referenced_works":["https://openalex.org/W1532362218","https://openalex.org/W1677409904","https://openalex.org/W1690050294","https://openalex.org/W1976047850","https://openalex.org/W2030233108","https://openalex.org/W2034432063","https://openalex.org/W2039465985","https://openalex.org/W2047243114","https://openalex.org/W2100921418","https://openalex.org/W2111308925","https://openalex.org/W2117228865","https://openalex.org/W2140935196","https://openalex.org/W2144123711","https://openalex.org/W2147555557","https://openalex.org/W2151103935","https://openalex.org/W2163352848","https://openalex.org/W2169633581","https://openalex.org/W2177274842","https://openalex.org/W2184279550","https://openalex.org/W2273191800","https://openalex.org/W2551182807","https://openalex.org/W2559871160","https://openalex.org/W2589547048","https://openalex.org/W2590500019","https://openalex.org/W2604146181","https://openalex.org/W2781542913","https://openalex.org/W2781778455","https://openalex.org/W2792431031","https://openalex.org/W2795346137","https://openalex.org/W2885847278","https://openalex.org/W2894544606","https://openalex.org/W2896707423","https://openalex.org/W2897103380","https://openalex.org/W2948182274","https://openalex.org/W2969081030","https://openalex.org/W2973247625","https://openalex.org/W2996144174","https://openalex.org/W2996444841","https://openalex.org/W3009276589","https://openalex.org/W3010777628","https://openalex.org/W3098156937","https://openalex.org/W3196819200","https://openalex.org/W3201629667","https://openalex.org/W3205921927","https://openalex.org/W3211110746","https://openalex.org/W4205636847","https://openalex.org/W4205733193","https://openalex.org/W4210334963","https://openalex.org/W4220840497","https://openalex.org/W4221141078","https://openalex.org/W4226219104","https://openalex.org/W4226336958","https://openalex.org/W4251502478","https://openalex.org/W4285255440","https://openalex.org/W4295934974","https://openalex.org/W4308883926","https://openalex.org/W4310184845","https://openalex.org/W4312233641","https://openalex.org/W4312678367","https://openalex.org/W4313398693","https://openalex.org/W4313503769","https://openalex.org/W4317608370","https://openalex.org/W4362654402","https://openalex.org/W4387103388"],"related_works":["https://openalex.org/W3034955165","https://openalex.org/W2063676365","https://openalex.org/W2617958085","https://openalex.org/W2049930962","https://openalex.org/W1584718735","https://openalex.org/W1991510355","https://openalex.org/W1524424464","https://openalex.org/W2135013219","https://openalex.org/W2083358477","https://openalex.org/W1892302881"],"abstract_inverted_index":{"Matching":[0],"multimodal":[1],"remote":[2],"sensing":[3],"images":[4],"(MRSIs)":[5],"is":[6,88,132,237,246],"a":[7,151],"challenging":[8],"task.":[9],"Due":[10],"to":[11,47,80,119,136],"significant":[12],"nonlinear":[13],"radiation":[14],"differences":[15],"(NRDs),":[16],"traditional":[17,139],"image-matching":[18],"methods":[19],"cannot":[20],"achieve":[21],"satisfactory":[22,213],"results.":[23],"This":[24],"article":[25,56],"shows":[26],"that":[27,210],"structural":[28,51,122],"information":[29,39,52],"can":[30,99],"get":[31],"more":[32,134,240],"robust":[33,135],"matching":[34,60,83,166,187,224,233],"results":[35,208,216],"compared":[36,162],"with":[37,126,163,227],"texture":[38,95],"(i.e.,":[40],"gradient":[41,140],"features)":[42],"from":[43,157],"images.":[44],"In":[45],"order":[46],"better":[48,100],"explore":[49],"the":[50,82,92,102,106,121,145,164,169,172,228,232,244],"of":[53,144,153,171,174,219,235],"images,":[54],"this":[55],"proposes":[57],"an":[58],"MRSI":[59,159],"method":[61,147],"using":[62],"structure":[63,68,103],"saliency":[64,69,123],"features,":[65,104],"called":[66],"weighted":[67,175],"feature":[70,181,191,202],"(WSSF).":[71],"Two":[72],"strategies":[73],"are":[74,117],"investigated":[75],"and":[76,105,114,161,199,214,223,243],"integrated":[77],"into":[78],"WSSF":[79,211,236],"improve":[81],"performance.":[84],"The":[85,142,206,251],"scale":[86,96],"space":[87,186],"constructed":[89],"based":[90],"on":[91,150],"pointwise":[93],"shape-adaptive":[94],"filtering,":[97,110,130],"which":[98,131],"retain":[101],"second-order":[107,127],"Gaussian":[108,128],"steerable":[109,129],"edge":[111],"confidence":[112],"map,":[113],"phase":[115,176,195],"features":[116],"combined":[118,125],"establish":[120],"map":[124],"much":[133],"NRD":[137],"than":[138,241],"map.":[141],"performance":[143],"proposed":[146],"was":[148],"evaluated":[149],"total":[152],"120":[154],"image":[155,180],"pairs":[156],"two":[158],"datasets":[160],"state-of-the-art":[165],"methods,":[167,231],"including":[168],"histogram":[170],"orientation":[173,197],"(HOWP),":[177],"locally":[178],"normalized":[179],"transform":[182,192,203],"(LNIFT),":[183],"co-occurrence":[184],"filter":[185],"(CoFSM),":[188],"radiation-variation":[189],"insensitive":[190],"(RIFT),":[193],"local":[194],"sharpness":[196],"(LPSO),":[198],"position-scale-orientation":[200],"scale-invariant":[201],"(SIFT)":[204],"(PSO-SIFT).":[205],"experimental":[207],"indicate":[209],"obtains":[212],"reliable":[215],"in":[217],"terms":[218],"success":[220],"rate":[221],"(SR)":[222],"accuracy.":[225],"Compared":[226],"above":[229],"six":[230],"accuracy":[234],"improved":[238,247],"by":[239,248],"20.275%,":[242],"SR":[245],"over":[249],"5.833%.":[250],"source":[252],"code":[253],"will":[254],"be":[255],"publicly":[256],"available":[257],"at":[258],"<uri":[259],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[260],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">https://github.com/WGY-RS/</uri>":[261],"WSSF.":[262]},"counts_by_year":[{"year":2026,"cited_by_count":10},{"year":2025,"cited_by_count":26},{"year":2024,"cited_by_count":8}],"updated_date":"2026-07-16T13:24:37.021932","created_date":"2025-10-10T00:00:00"}