{"id":"https://openalex.org/W4402261518","doi":"https://doi.org/10.1109/igarss53475.2024.10640507","title":"An Attention-Based Fusion for Handcrafted and Deep Feature to Improve Optical and SAR Image Matching","display_name":"An Attention-Based Fusion for Handcrafted and Deep Feature to Improve Optical and SAR Image Matching","publication_year":2024,"publication_date":"2024-07-07","ids":{"openalex":"https://openalex.org/W4402261518","doi":"https://doi.org/10.1109/igarss53475.2024.10640507"},"language":"en","primary_location":{"id":"doi:10.1109/igarss53475.2024.10640507","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/igarss53475.2024.10640507","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-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/A5101009804","display_name":"Zhiqiang Han","orcid":"https://orcid.org/0000-0001-6222-9183"},"institutions":[{"id":"https://openalex.org/I4800084","display_name":"Southwest Jiaotong University","ror":"https://ror.org/00hn7w693","country_code":"CN","type":"education","lineage":["https://openalex.org/I4800084"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhiqiang Han","raw_affiliation_strings":["Southwest Jiaotong University,Faculty of Geosciences and Engineering,Chengdu,China,611576"],"affiliations":[{"raw_affiliation_string":"Southwest Jiaotong University,Faculty of Geosciences and Engineering,Chengdu,China,611576","institution_ids":["https://openalex.org/I4800084"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075374683","display_name":"Jinkun Dai","orcid":"https://orcid.org/0009-0004-1800-5579"},"institutions":[{"id":"https://openalex.org/I4800084","display_name":"Southwest Jiaotong University","ror":"https://ror.org/00hn7w693","country_code":"CN","type":"education","lineage":["https://openalex.org/I4800084"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinkun Dai","raw_affiliation_strings":["Southwest Jiaotong University,Faculty of Geosciences and Engineering,Chengdu,China,611576"],"affiliations":[{"raw_affiliation_string":"Southwest Jiaotong University,Faculty of Geosciences and Engineering,Chengdu,China,611576","institution_ids":["https://openalex.org/I4800084"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100425202","display_name":"Liang Zhou","orcid":"https://orcid.org/0000-0002-3471-9924"},"institutions":[{"id":"https://openalex.org/I4800084","display_name":"Southwest Jiaotong University","ror":"https://ror.org/00hn7w693","country_code":"CN","type":"education","lineage":["https://openalex.org/I4800084"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liang Zhou","raw_affiliation_strings":["Southwest Jiaotong University,Faculty of Geosciences and Engineering,Chengdu,China,611576"],"affiliations":[{"raw_affiliation_string":"Southwest Jiaotong University,Faculty of Geosciences and Engineering,Chengdu,China,611576","institution_ids":["https://openalex.org/I4800084"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101943517","display_name":"Yuanxin Ye","orcid":"https://orcid.org/0009-0005-2498-6665"},"institutions":[{"id":"https://openalex.org/I4800084","display_name":"Southwest Jiaotong University","ror":"https://ror.org/00hn7w693","country_code":"CN","type":"education","lineage":["https://openalex.org/I4800084"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuanxin Ye","raw_affiliation_strings":["Southwest Jiaotong University,Faculty of Geosciences and Engineering,Chengdu,China,611576"],"affiliations":[{"raw_affiliation_string":"Southwest Jiaotong University,Faculty of Geosciences and Engineering,Chengdu,China,611576","institution_ids":["https://openalex.org/I4800084"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5101009804"],"corresponding_institution_ids":["https://openalex.org/I4800084"],"apc_list":null,"apc_paid":null,"fwci":0.5002,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.64606446,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"7911","last_page":"7914"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9993000030517578,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9993000030517578,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9993000030517578,"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":0.9947999715805054,"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":0.7645623087882996},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7059042453765869},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6459251642227173},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.6119945049285889},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.589958131313324},{"id":"https://openalex.org/keywords/image-fusion","display_name":"Image fusion","score":0.5774059891700745},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.5418577194213867},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5256308913230896},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5247540473937988},{"id":"https://openalex.org/keywords/synthetic-aperture-radar","display_name":"Synthetic aperture radar","score":0.5235483050346375},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.48570188879966736},{"id":"https://openalex.org/keywords/image-matching","display_name":"Image matching","score":0.4773029088973999},{"id":"https://openalex.org/keywords/feature-matching","display_name":"Feature matching","score":0.4624083340167999},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09518930315971375}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7645623087882996},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7059042453765869},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6459251642227173},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.6119945049285889},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.589958131313324},{"id":"https://openalex.org/C69744172","wikidata":"https://www.wikidata.org/wiki/Q860822","display_name":"Image fusion","level":3,"score":0.5774059891700745},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.5418577194213867},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5256308913230896},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5247540473937988},{"id":"https://openalex.org/C87360688","wikidata":"https://www.wikidata.org/wiki/Q740686","display_name":"Synthetic aperture radar","level":2,"score":0.5235483050346375},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.48570188879966736},{"id":"https://openalex.org/C2986492983","wikidata":"https://www.wikidata.org/wiki/Q861092","display_name":"Image matching","level":3,"score":0.4773029088973999},{"id":"https://openalex.org/C2983787585","wikidata":"https://www.wikidata.org/wiki/Q93586","display_name":"Feature matching","level":3,"score":0.4624083340167999},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09518930315971375},{"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/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/igarss53475.2024.10640507","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/igarss53475.2024.10640507","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W2144502914","https://openalex.org/W2194775991","https://openalex.org/W2468641423","https://openalex.org/W2786355301","https://openalex.org/W2792119716","https://openalex.org/W2887116847","https://openalex.org/W3087985223","https://openalex.org/W3094897602","https://openalex.org/W3112685879","https://openalex.org/W3214040583","https://openalex.org/W4207064056","https://openalex.org/W4226336958","https://openalex.org/W4289752563"],"related_works":["https://openalex.org/W2788731446","https://openalex.org/W2204403038","https://openalex.org/W3152170969","https://openalex.org/W2379054866","https://openalex.org/W2549658594","https://openalex.org/W2095903272","https://openalex.org/W2370195708","https://openalex.org/W1490651872","https://openalex.org/W2139242969","https://openalex.org/W2284201331"],"abstract_inverted_index":{"Matching":[0],"optical":[1,136],"and":[2,73,88,117,137],"synthetic":[3],"aperture":[4],"radar":[5],"(SAR)":[6],"images":[7],"has":[8,26],"always":[9],"been":[10],"a":[11,144],"challenging":[12],"task":[13],"in":[14,147],"remote":[15],"sensing":[16],"image":[17,21,58,82,121],"processing.":[18],"Recently,":[19],"optical-SAR":[20,57,81],"matching":[22,59,148],"using":[23],"deep":[24,38,43,74,89,118],"learning":[25,39],"outperformed":[27],"traditional":[28],"methods":[29,40],"that":[30],"rely":[31],"on":[32],"handcrafted":[33,48,72,87,116],"features.":[34,49,155],"However,":[35],"most":[36],"current":[37],"emphasize":[41],"capturing":[42],"semantics":[44],"while":[45],"disregarding":[46],"stable":[47],"This":[50],"approach":[51],"may":[52],"restrict":[53],"the":[54,78,103,110,115,132,151],"advancement":[55],"of":[56,80,105,135,153],"technology.":[60],"Accordingly,":[61],"this":[62],"study":[63],"introduces":[64],"an":[65,93],"attention-based":[66],"feature":[67],"fusion":[68],"method":[69],"for":[70,101,120],"integrating":[71],"features,":[75,126],"which":[76],"enhances":[77],"performance":[79],"matching.":[83,122],"First,":[84],"we":[85,108],"extract":[86],"features":[90,119,128],"separately.":[91],"Then,":[92],"attention":[94],"module":[95],"is":[96],"designed":[97],"to":[98,113],"integrate":[99],"them":[100],"computing":[102],"regions":[104],"interest.":[106],"Finally,":[107],"use":[109,152],"calculated":[111],"weights":[112],"fuse":[114],"Compared":[123],"with":[124,150],"single-type":[125],"fused":[127],"can":[129],"better":[130],"capture":[131],"common":[133],"characteristics":[134],"SAR":[138],"images.":[139],"The":[140],"experimental":[141],"results":[142],"demonstrate":[143],"significant":[145],"improvement":[146],"accuracy":[149],"merged":[154]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1}],"updated_date":"2026-03-27T14:29:43.386196","created_date":"2025-10-10T00:00:00"}
