{"id":"https://openalex.org/W4386688613","doi":"https://doi.org/10.3390/rs15184467","title":"SDRSwin: A Residual Swin Transformer Network with Saliency Detection for Infrared and Visible Image Fusion","display_name":"SDRSwin: A Residual Swin Transformer Network with Saliency Detection for Infrared and Visible Image Fusion","publication_year":2023,"publication_date":"2023-09-11","ids":{"openalex":"https://openalex.org/W4386688613","doi":"https://doi.org/10.3390/rs15184467"},"language":"en","primary_location":{"id":"doi:10.3390/rs15184467","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs15184467","pdf_url":"https://www.mdpi.com/2072-4292/15/18/4467/pdf?version=1694494307","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2072-4292/15/18/4467/pdf?version=1694494307","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5050375807","display_name":"Sheng-shi Li","orcid":"https://orcid.org/0000-0002-0417-3174"},"institutions":[{"id":"https://openalex.org/I20942203","display_name":"Hainan University","ror":"https://ror.org/03q648j11","country_code":"CN","type":"education","lineage":["https://openalex.org/I20942203"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shengshi Li","raw_affiliation_strings":["School of Information and Communication Engineering, Hainan University, Haikou 570228, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information and Communication Engineering, Hainan University, Haikou 570228, China","institution_ids":["https://openalex.org/I20942203"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101739656","display_name":"Guanjun Wang","orcid":"https://orcid.org/0000-0001-5458-9509"},"institutions":[{"id":"https://openalex.org/I20942203","display_name":"Hainan University","ror":"https://ror.org/03q648j11","country_code":"CN","type":"education","lineage":["https://openalex.org/I20942203"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guanjun Wang","raw_affiliation_strings":["School of Information and Communication Engineering, Hainan University, Haikou 570228, China","State Key Laboratory of Marine Resource Utilization in South China Sea, Hainan University, Haikou 570228, China"],"raw_orcid":"https://orcid.org/0000-0001-5458-9509","affiliations":[{"raw_affiliation_string":"School of Information and Communication Engineering, Hainan University, Haikou 570228, China","institution_ids":["https://openalex.org/I20942203"]},{"raw_affiliation_string":"State Key Laboratory of Marine Resource Utilization in South China Sea, Hainan University, Haikou 570228, China","institution_ids":["https://openalex.org/I20942203"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100323420","display_name":"Hui Zhang","orcid":"https://orcid.org/0000-0002-1803-3148"},"institutions":[{"id":"https://openalex.org/I20942203","display_name":"Hainan University","ror":"https://ror.org/03q648j11","country_code":"CN","type":"education","lineage":["https://openalex.org/I20942203"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hui Zhang","raw_affiliation_strings":["Key Laboratory of Genetics and Germplasm Innovation of Tropical Special Forest Trees and Ornamental Plants (Hainan University), Ministry of Education, School of Forestry, Hainan University, Haikou 570228, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Genetics and Germplasm Innovation of Tropical Special Forest Trees and Ornamental Plants (Hainan University), Ministry of Education, School of Forestry, Hainan University, Haikou 570228, China","institution_ids":["https://openalex.org/I20942203"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100568936","display_name":"Yonghua Zou","orcid":null},"institutions":[{"id":"https://openalex.org/I20942203","display_name":"Hainan University","ror":"https://ror.org/03q648j11","country_code":"CN","type":"education","lineage":["https://openalex.org/I20942203"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yonghua Zou","raw_affiliation_strings":["School of Information and Communication Engineering, Hainan University, Haikou 570228, China","State Key Laboratory of Marine Resource Utilization in South China Sea, Hainan University, Haikou 570228, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information and Communication Engineering, Hainan University, Haikou 570228, China","institution_ids":["https://openalex.org/I20942203"]},{"raw_affiliation_string":"State Key Laboratory of Marine Resource Utilization in South China Sea, Hainan University, Haikou 570228, China","institution_ids":["https://openalex.org/I20942203"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5100568936"],"corresponding_institution_ids":["https://openalex.org/I20942203"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2784},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2784},"fwci":0.9709,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.75844,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"15","issue":"18","first_page":"4467","last_page":"4467"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11659","display_name":"Advanced Image Fusion Techniques","score":1.0,"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"}},"topics":[{"id":"https://openalex.org/T11659","display_name":"Advanced Image Fusion Techniques","score":1.0,"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/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9984999895095825,"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/T11019","display_name":"Image Enhancement Techniques","score":0.9975000023841858,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.763545036315918},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7191085815429688},{"id":"https://openalex.org/keywords/salient","display_name":"Salient","score":0.6703124046325684},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.6675167083740234},{"id":"https://openalex.org/keywords/fuse","display_name":"Fuse (electrical)","score":0.6459004878997803},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6435209512710571},{"id":"https://openalex.org/keywords/image-fusion","display_name":"Image fusion","score":0.5425437688827515},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.47982096672058105},{"id":"https://openalex.org/keywords/infrared","display_name":"Infrared","score":0.4768741726875305},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.4600197672843933},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.45714500546455383},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.44955170154571533},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.435110479593277},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.37297677993774414},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.10455557703971863},{"id":"https://openalex.org/keywords/voltage","display_name":"Voltage","score":0.07362845540046692},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.06929412484169006},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.06458577513694763},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.06392168998718262}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.763545036315918},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7191085815429688},{"id":"https://openalex.org/C2780719617","wikidata":"https://www.wikidata.org/wiki/Q1030752","display_name":"Salient","level":2,"score":0.6703124046325684},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.6675167083740234},{"id":"https://openalex.org/C141353440","wikidata":"https://www.wikidata.org/wiki/Q182221","display_name":"Fuse (electrical)","level":2,"score":0.6459004878997803},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6435209512710571},{"id":"https://openalex.org/C69744172","wikidata":"https://www.wikidata.org/wiki/Q860822","display_name":"Image fusion","level":3,"score":0.5425437688827515},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.47982096672058105},{"id":"https://openalex.org/C158355884","wikidata":"https://www.wikidata.org/wiki/Q11388","display_name":"Infrared","level":2,"score":0.4768741726875305},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.4600197672843933},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.45714500546455383},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.44955170154571533},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.435110479593277},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.37297677993774414},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.10455557703971863},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.07362845540046692},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.06929412484169006},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.06458577513694763},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.06392168998718262},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","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":2,"locations":[{"id":"doi:10.3390/rs15184467","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs15184467","pdf_url":"https://www.mdpi.com/2072-4292/15/18/4467/pdf?version=1694494307","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:9ae9bdeae9854ab7b194b36945cc5040","is_oa":true,"landing_page_url":"https://doaj.org/article/9ae9bdeae9854ab7b194b36945cc5040","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":"Remote Sensing, Vol 15, Iss 18, p 4467 (2023)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.3390/rs15184467","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs15184467","pdf_url":"https://www.mdpi.com/2072-4292/15/18/4467/pdf?version=1694494307","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1226460968","display_name":null,"funder_award_id":"ZDKJ2016015","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1830905026","display_name":null,"funder_award_id":"2020WNLOKF001","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2326163502","display_name":null,"funder_award_id":"KYQD(ZR)1882","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2642025867","display_name":null,"funder_award_id":"2015BAH55F01","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4445818608","display_name":null,"funder_award_id":"2015BAH55F04","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G451132075","display_name":null,"funder_award_id":"617079","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6448427225","display_name":null,"funder_award_id":"62175054","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7744630169","display_name":null,"funder_award_id":"620RC554","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8637315833","display_name":null,"funder_award_id":"2021-002","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8806633191","display_name":"\u57fa\u4e8e\u5927\u6570\u636e\u7684DDoS\u653b\u51fb\u6001\u52bf\u611f\u77e5\u5173\u952e\u6280\u672f\u7814\u7a76","funder_award_id":"61762033","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8816659573","display_name":null,"funder_award_id":"61865005","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"}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4386688613.pdf"},"referenced_works_count":56,"referenced_works":["https://openalex.org/W1628236353","https://openalex.org/W1861492603","https://openalex.org/W1910108985","https://openalex.org/W1964641132","https://openalex.org/W1997596006","https://openalex.org/W2020442368","https://openalex.org/W2026651590","https://openalex.org/W2028555274","https://openalex.org/W2034995331","https://openalex.org/W2040833130","https://openalex.org/W2046119925","https://openalex.org/W2082232962","https://openalex.org/W2091649119","https://openalex.org/W2133665775","https://openalex.org/W2194775991","https://openalex.org/W2256359941","https://openalex.org/W2266694576","https://openalex.org/W2473964400","https://openalex.org/W2546974981","https://openalex.org/W2581828022","https://openalex.org/W2589745805","https://openalex.org/W2798018774","https://openalex.org/W2798987894","https://openalex.org/W2809216229","https://openalex.org/W2897436422","https://openalex.org/W2900174385","https://openalex.org/W2901572775","https://openalex.org/W2912147220","https://openalex.org/W2936775474","https://openalex.org/W2938696568","https://openalex.org/W2963446712","https://openalex.org/W2963905288","https://openalex.org/W2998529071","https://openalex.org/W3025203961","https://openalex.org/W3046194589","https://openalex.org/W3102515681","https://openalex.org/W3105639468","https://openalex.org/W3108042295","https://openalex.org/W3129015415","https://openalex.org/W3133700567","https://openalex.org/W3138516171","https://openalex.org/W3143068962","https://openalex.org/W3194077607","https://openalex.org/W3207918547","https://openalex.org/W4206304468","https://openalex.org/W4224937218","https://openalex.org/W4288808837","https://openalex.org/W4318043369","https://openalex.org/W4321232185","https://openalex.org/W4379876053","https://openalex.org/W4382344474","https://openalex.org/W6721223673","https://openalex.org/W6772718654","https://openalex.org/W6787015245","https://openalex.org/W6790758390","https://openalex.org/W6864450276"],"related_works":["https://openalex.org/W2391745328","https://openalex.org/W2788731446","https://openalex.org/W4390606538","https://openalex.org/W2095903272","https://openalex.org/W2204403038","https://openalex.org/W3152170969","https://openalex.org/W2379054866","https://openalex.org/W2370195708","https://openalex.org/W1490651872","https://openalex.org/W2139242969"],"abstract_inverted_index":{"Infrared":[0],"and":[1,97,124,149,162],"visible":[2,66,131],"image":[3,13,58,123],"fusion":[4,40],"is":[5,71],"a":[6,36,74,106,151],"solution":[7],"that":[8,137],"generates":[9],"an":[10,84],"information-rich":[11],"individual":[12],"with":[14,73,144],"different":[15],"modal":[16],"information":[17],"by":[18],"fusing":[19],"images":[20],"obtained":[21],"from":[22],"various":[23],"sensors.":[24],"Salient":[25],"detection":[26],"can":[27],"better":[28,152],"emphasize":[29],"the":[30,51,56,61,65,79,101,113,117,121,125,130,155],"targets":[31,54,119,148],"of":[32],"concern.":[33],"We":[34],"propose":[35],"residual":[37,89],"Swin":[38,90],"Transformer":[39],"network":[41,70,86,114],"based":[42,87],"on":[43,88],"saliency":[44],"detection,":[45],"termed":[46],"SDRSwin,":[47],"aiming":[48],"to":[49,92,111,115],"highlight":[50],"salient":[52,108,118],"thermal":[53],"in":[55,64,120,129,159],"infrared":[57,122,147],"while":[59],"maintaining":[60],"texture":[62,142],"details":[63,143],"image.":[67,132],"The":[68,133],"SDRSwin":[69],"trained":[72],"two-stage":[75],"training":[76],"approach.":[77],"In":[78,100],"first":[80],"stage,":[81,103],"we":[82,104],"train":[83],"encoder\u2013decoder":[85],"Transformers":[91],"achieve":[93],"powerful":[94],"feature":[95],"extraction":[96],"reconstruction":[98],"capabilities.":[99],"second":[102],"develop":[105],"novel":[107],"loss":[109],"function":[110],"guide":[112],"fuse":[116],"background":[126],"detail":[127],"regions":[128],"extensive":[134],"results":[135],"indicate":[136],"our":[138],"method":[139],"has":[140],"abundant":[141],"clear":[145],"bright":[146],"achieves":[150],"performance":[153],"than":[154],"twenty-one":[156],"state-of-the-art":[157],"methods":[158],"both":[160],"subjective":[161],"objective":[163],"evaluation.":[164]},"counts_by_year":[{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":3}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}
