{"id":"https://openalex.org/W4407360728","doi":"https://doi.org/10.1109/jstars.2025.3541071","title":"Cascaded Homography-Constrained Local Feature Matching for Optical and SAR Images","display_name":"Cascaded Homography-Constrained Local Feature Matching for Optical and SAR Images","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4407360728","doi":"https://doi.org/10.1109/jstars.2025.3541071"},"language":"en","primary_location":{"id":"doi:10.1109/jstars.2025.3541071","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2025.3541071","pdf_url":null,"source":{"id":"https://openalex.org/S117727964","display_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","issn_l":"1939-1404","issn":["1939-1404","2151-1535"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/jstars.2025.3541071","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101190569","display_name":"Xinhui Yuan","orcid":null},"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":"Xinhui Yuan","raw_affiliation_strings":["School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, China"],"raw_orcid":"https://orcid.org/0009-0005-9288-2390","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/A5100382376","display_name":"Zhi Li","orcid":"https://orcid.org/0009-0002-9838-8797"},"institutions":[{"id":"https://openalex.org/I4210091692","display_name":"Beijing Automation Control Equipment Institute","ror":"https://ror.org/00gvfpz28","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210091692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhi Li","raw_affiliation_strings":["Beijing Institute of Automatic Control Equipment, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Institute of Automatic Control Equipment, Beijing, China","institution_ids":["https://openalex.org/I4210091692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034945418","display_name":"Qingwu Hu","orcid":null},"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":"Qingwu Hu","raw_affiliation_strings":["School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0003-0866-6678","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/A5108050395","display_name":"Jiayuan Li","orcid":"https://orcid.org/0000-0002-9850-1668"},"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":"Jiayuan Li","raw_affiliation_strings":["School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0002-9850-1668","affiliations":[{"raw_affiliation_string":"School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1250,"currency":"USD","value_usd":1250},"apc_paid":{"value":1250,"currency":"USD","value_usd":1250},"fwci":1.1177,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.73789801,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":97},"biblio":{"volume":"18","issue":null,"first_page":"7829","last_page":"7842"},"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":0.9890999794006348,"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":0.9890999794006348,"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":0.9574000239372253,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9448000192642212,"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/computer-vision","display_name":"Computer vision","score":0.7164912223815918},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7022539377212524},{"id":"https://openalex.org/keywords/homography","display_name":"Homography","score":0.6688335537910461},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6602145433425903},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6095123291015625},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.5577923655509949},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4901788830757141},{"id":"https://openalex.org/keywords/synthetic-aperture-radar","display_name":"Synthetic aperture radar","score":0.44249650835990906},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3928912878036499},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.17229625582695007}],"concepts":[{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7164912223815918},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7022539377212524},{"id":"https://openalex.org/C28751775","wikidata":"https://www.wikidata.org/wiki/Q2112539","display_name":"Homography","level":4,"score":0.6688335537910461},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6602145433425903},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6095123291015625},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.5577923655509949},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4901788830757141},{"id":"https://openalex.org/C87360688","wikidata":"https://www.wikidata.org/wiki/Q740686","display_name":"Synthetic aperture radar","level":2,"score":0.44249650835990906},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3928912878036499},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.17229625582695007},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C177846678","wikidata":"https://www.wikidata.org/wiki/Q1501864","display_name":"Projective test","level":2,"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/C75280867","wikidata":"https://www.wikidata.org/wiki/Q877775","display_name":"Projective space","level":3,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/jstars.2025.3541071","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2025.3541071","pdf_url":null,"source":{"id":"https://openalex.org/S117727964","display_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","issn_l":"1939-1404","issn":["1939-1404","2151-1535"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:f74ce0f0942941ea8348a2c02895a54f","is_oa":true,"landing_page_url":"https://doaj.org/article/f74ce0f0942941ea8348a2c02895a54f","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 18, Pp 7829-7842 (2025)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/jstars.2025.3541071","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2025.3541071","pdf_url":null,"source":{"id":"https://openalex.org/S117727964","display_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","issn_l":"1939-1404","issn":["1939-1404","2151-1535"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/13","display_name":"Climate action","score":0.4000000059604645}],"awards":[{"id":"https://openalex.org/G193990998","display_name":null,"funder_award_id":"KLSMNR-G202221","funder_id":"https://openalex.org/F4320310282","funder_display_name":"Ministry of Natural Resources"},{"id":"https://openalex.org/G290837236","display_name":null,"funder_award_id":"42271444","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3658866185","display_name":null,"funder_award_id":"42030102","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320310282","display_name":"Ministry of Natural Resources","ror":"https://ror.org/02ntv3742"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":57,"referenced_works":["https://openalex.org/W2117228865","https://openalex.org/W2151103935","https://openalex.org/W2468641423","https://openalex.org/W2476548250","https://openalex.org/W2792119716","https://openalex.org/W2810454813","https://openalex.org/W2887116847","https://openalex.org/W2901147009","https://openalex.org/W2946382053","https://openalex.org/W2947326555","https://openalex.org/W2967822867","https://openalex.org/W2971888276","https://openalex.org/W2979458572","https://openalex.org/W2996444841","https://openalex.org/W3034275286","https://openalex.org/W3043075211","https://openalex.org/W3087985223","https://openalex.org/W3088257029","https://openalex.org/W3134166937","https://openalex.org/W3156527559","https://openalex.org/W3161111546","https://openalex.org/W3166285241","https://openalex.org/W3188333065","https://openalex.org/W4205890696","https://openalex.org/W4220840497","https://openalex.org/W4225685821","https://openalex.org/W4226219104","https://openalex.org/W4226336958","https://openalex.org/W4285255440","https://openalex.org/W4308489557","https://openalex.org/W4312924212","https://openalex.org/W4323914325","https://openalex.org/W4362654402","https://openalex.org/W4384558641","https://openalex.org/W4386083040","https://openalex.org/W4386633936","https://openalex.org/W4390872507","https://openalex.org/W4390874369","https://openalex.org/W4390968527","https://openalex.org/W4391828452","https://openalex.org/W4398788605","https://openalex.org/W4402774445","https://openalex.org/W6637400245","https://openalex.org/W6738345448","https://openalex.org/W6752208963","https://openalex.org/W6754984195","https://openalex.org/W6764177528","https://openalex.org/W6766978945","https://openalex.org/W6776990516","https://openalex.org/W6779835006","https://openalex.org/W6784614708","https://openalex.org/W6810521590","https://openalex.org/W6842511964","https://openalex.org/W6850433779","https://openalex.org/W6851883102","https://openalex.org/W6855663335","https://openalex.org/W6855738498"],"related_works":["https://openalex.org/W4313151434","https://openalex.org/W2050662190","https://openalex.org/W1997252062","https://openalex.org/W2899509464","https://openalex.org/W2159857203","https://openalex.org/W4390071586","https://openalex.org/W4310269213","https://openalex.org/W1982908968","https://openalex.org/W2378199636","https://openalex.org/W3121066829"],"abstract_inverted_index":{"Due":[0],"to":[1,76,119,182],"significant":[2],"nonlinear":[3],"radiation":[4],"distortion":[5],"and":[6,17,30,67,74,79,85,93,102,113,138,146,159,161,170,180,185],"inherent":[7],"speckle":[8],"noise":[9],"in":[10,140,152,176],"SAR":[11,18,31,68,86],"images,":[12],"reliable":[13],"matching":[14,33,62,92,96,108,141,154],"between":[15,83],"optical":[16,29,66,84],"images":[19],"remains":[20],"a":[21,49,90],"critical":[22],"challenge.":[23],"Current":[24],"deep":[25],"learning-based":[26],"methods":[27],"for":[28,65,100,123],"image":[32,61],"typically":[34],"enhance":[35],"specific":[36],"steps":[37],"of":[38,164],"traditional":[39],"algorithms,":[40],"such":[41],"as":[42],"feature":[43],"detection":[44],"or":[45],"description,":[46],"but":[47],"lack":[48],"comprehensive":[50],"end-to-end":[51,58],"solution.":[52],"In":[53,88],"response,":[54],"we":[55,71],"propose":[56],"an":[57],"cascaded":[59],"homography-constrained":[60],"(CHCIM)":[63],"method":[64],"images.":[69,87],"First,":[70],"combine":[72],"CNN":[73],"transformers":[75],"efficiently":[77],"fuse":[78],"extract":[80],"similar":[81],"features":[82,122],"addition,":[89],"bilateral":[91],"homography-based":[94],"cascade":[95],"strategy":[97],"is":[98,174],"introduced":[99],"supervision":[101],"inference,":[103],"which":[104],"first":[105],"refines":[106],"the":[107,133,149,162],"range":[109],"using":[110],"homography":[111],"constraints":[112],"then":[114],"employs":[115],"random":[116],"uniform":[117],"sampling":[118],"select":[120],"candidate":[121],"further":[124],"refinement.":[125],"Extensive":[126],"experiments":[127],"demonstrate":[128],"that":[129],"CHCIM":[130,173],"significantly":[131],"outperforms":[132],"state-of-the-art":[134],"baselines":[135],"(e.g.,":[136],"RIFT":[137],"LoFTR)":[139],"accuracy":[142,155],"(91.90%":[143],"versus":[144,157,168],"50.10%":[145],"44.37%),":[147],"achieving":[148],"highest":[150],"scores":[151],"mean":[153],"(66.18%":[156],"4.01%":[158],"4.67%)":[160],"number":[163],"correct":[165],"matches":[166],"(1378":[167],"43":[169],"26).":[171],"Furthermore,":[172],"effective":[175],"weak":[177],"texture":[178],"scenarios":[179],"robust":[181],"large":[183],"scale":[184],"rotation":[186],"variations.":[187],"The":[188],"code":[189],"will":[190],"be":[191],"publicly":[192],"available":[193],"at":[194],"<uri":[195],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[196],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">https://github.com/LJY-RS</uri>.":[197]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1}],"updated_date":"2026-07-16T13:24:37.021932","created_date":"2025-10-10T00:00:00"}
