{"id":"https://openalex.org/W2951453108","doi":"https://doi.org/10.1109/access.2019.2924033","title":"Image Fusion Method Based on Structure-Based Saliency Map and FDST-PCNN Framework","display_name":"Image Fusion Method Based on Structure-Based Saliency Map and FDST-PCNN Framework","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2951453108","doi":"https://doi.org/10.1109/access.2019.2924033","mag":"2951453108"},"language":"en","primary_location":{"id":"doi:10.1109/access.2019.2924033","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2924033","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"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 Access","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/access.2019.2924033","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101668671","display_name":"Jiang Qian","orcid":"https://orcid.org/0000-0002-7417-3313"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiang Qian","raw_affiliation_strings":["Institute of Smart Transmission and Distribution, Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Smart Transmission and Distribution, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100613443","display_name":"Yadong Liu","orcid":"https://orcid.org/0000-0002-7921-6757"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liu Yadong","raw_affiliation_strings":["Institute of Smart Transmission and Distribution, Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0002-7921-6757","affiliations":[{"raw_affiliation_string":"Institute of Smart Transmission and Distribution, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101056600","display_name":"Jindun Dai","orcid":null},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dai Jindun","raw_affiliation_strings":["Institute of Smart Transmission and Distribution, Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Smart Transmission and Distribution, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065616367","display_name":"Xiaofei Fu","orcid":"https://orcid.org/0000-0002-8882-413X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Fu Xiaofei","raw_affiliation_strings":["State Grid Shanghai Municipal Electric Power Company, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Grid Shanghai Municipal Electric Power Company, Shanghai, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5038426348","display_name":"Xiuchen Jiang","orcid":null},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiang Xiuchen","raw_affiliation_strings":["Institute of Smart Transmission and Distribution, Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Smart Transmission and Distribution, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":1.4155,"has_fulltext":false,"cited_by_count":17,"citation_normalized_percentile":{"value":0.84199172,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":93,"max":98},"biblio":{"volume":"7","issue":null,"first_page":"83484","last_page":"83494"},"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/T11019","display_name":"Image Enhancement Techniques","score":0.9973000288009644,"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9955999851226807,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/image-fusion","display_name":"Image fusion","score":0.7828232049942017},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7808305025100708},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7397337555885315},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5885908007621765},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.5708061456680298},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.5629223585128784},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.5394298434257507},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5333580374717712},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5143250226974487},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.46447527408599854},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4191405475139618}],"concepts":[{"id":"https://openalex.org/C69744172","wikidata":"https://www.wikidata.org/wiki/Q860822","display_name":"Image fusion","level":3,"score":0.7828232049942017},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7808305025100708},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7397337555885315},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5885908007621765},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.5708061456680298},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.5629223585128784},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.5394298434257507},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5333580374717712},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5143250226974487},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.46447527408599854},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4191405475139618},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","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/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2019.2924033","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2924033","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"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 Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:909afd9280e9441cad41b48614a8cca1","is_oa":true,"landing_page_url":"https://doaj.org/article/909afd9280e9441cad41b48614a8cca1","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 Access, Vol 7, Pp 83484-83494 (2019)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2019.2924033","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2924033","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"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 Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W811864384","https://openalex.org/W1010868406","https://openalex.org/W1563899710","https://openalex.org/W1996731385","https://openalex.org/W1997480692","https://openalex.org/W2005073548","https://openalex.org/W2046155154","https://openalex.org/W2097259623","https://openalex.org/W2135957164","https://openalex.org/W2139816106","https://openalex.org/W2159269332","https://openalex.org/W2266694576","https://openalex.org/W2346484933","https://openalex.org/W2461906487","https://openalex.org/W2474462684","https://openalex.org/W2559295071","https://openalex.org/W2589745805","https://openalex.org/W2751011928","https://openalex.org/W2803755159","https://openalex.org/W2804852851","https://openalex.org/W2891022461","https://openalex.org/W2899520530","https://openalex.org/W2912581987","https://openalex.org/W2924278588","https://openalex.org/W2938006569","https://openalex.org/W4252335665","https://openalex.org/W6680437723"],"related_works":["https://openalex.org/W2919827088","https://openalex.org/W2725429296","https://openalex.org/W2788731446","https://openalex.org/W2204403038","https://openalex.org/W3152170969","https://openalex.org/W2139242969","https://openalex.org/W2379054866","https://openalex.org/W2549658594","https://openalex.org/W2370195708","https://openalex.org/W1490651872"],"abstract_inverted_index":{"Image":[0],"fusion":[1,62,158,164],"has":[2],"become":[3],"an":[4,15],"active":[5],"and":[6,76,93,121,136,149,177],"promising":[7],"research":[8],"topic":[9],"in":[10,79,141,172],"image":[11,27],"processing.":[12],"It":[13],"provides":[14],"effective":[16],"way":[17],"to":[18,23,56,72,130],"combine":[19],"several":[20],"source":[21,37,106,119],"images":[22,120,151],"form":[24],"a":[25,58,67,96],"composite":[26],"with":[28,49,89,161],"more":[29],"detailed":[30,174],"information":[31,88,92,103,176],"than":[32],"any":[33],"one":[34,80],"of":[35,99,104,117,124,155],"the":[36,74,86,90,100,105,112,114,118,122,125,132,138,153,166],"images.":[38,107],"An":[39],"FDST-PCNN":[40],"framework,":[41],"which":[42],"integrates":[43],"finite":[44],"discrete":[45],"shearlet":[46],"transform":[47],"(FDST)":[48],"pulse-coupled":[50],"neural":[51],"network":[52],"(PCNN),":[53],"is":[54],"proposed":[55,157,167],"possess":[57],"higher":[59],"ability":[60],"enhance":[61,73],"effects.":[63],"We":[64],"first":[65],"propose":[66],"structure-based":[68],"saliency":[69,91],"(SBS)":[70],"map":[71,84,116],"clear":[75],"important":[77],"features":[78],"image.":[81],"The":[82,144],"SBS":[83,115],"combines":[85],"depth":[87],"could":[94],"be":[95],"good":[97],"representation":[98],"most":[101],"essential":[102],"After":[108],"multi-scale":[109],"decomposition":[110],"by":[111],"FDST,":[113],"modified-spatial-frequency":[123],"subbands":[126],"are":[127],"both":[128],"utilized":[129],"tune":[131],"PCNN":[133],"neuron":[134],"response":[135],"determine":[137],"fused":[139],"coefficients":[140],"each":[142],"subband.":[143],"experimental":[145],"results":[146],"on":[147],"multi-focus":[148],"multi-sensor":[150],"verify":[152],"effectiveness":[154],"our":[156],"method.":[159],"Compared":[160],"other":[162],"PCNN-based":[163],"methods,":[165],"method":[168],"achieves":[169],"significant":[170],"improvement":[171],"preserving":[173],"edge":[175],"improving":[178],"overall":[179],"visual":[180],"performance.":[181]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}