{"id":"https://openalex.org/W4402259423","doi":"https://doi.org/10.1109/igarss53475.2024.10640795","title":"A Fusion Framework for Infrared and Visible Images based on CNN and MST","display_name":"A Fusion Framework for Infrared and Visible Images based on CNN and MST","publication_year":2024,"publication_date":"2024-07-07","ids":{"openalex":"https://openalex.org/W4402259423","doi":"https://doi.org/10.1109/igarss53475.2024.10640795"},"language":"en","primary_location":{"id":"doi:10.1109/igarss53475.2024.10640795","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/igarss53475.2024.10640795","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/A5007404036","display_name":"Yali Zhang","orcid":"https://orcid.org/0009-0002-1237-5910"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yali Zhang","raw_affiliation_strings":["Xidian University,School of Electronic Engineering,The Department of Remote Sensing Science and Technology,Xi’an,China,710071"],"affiliations":[{"raw_affiliation_string":"Xidian University,School of Electronic Engineering,The Department of Remote Sensing Science and Technology,Xi’an,China,710071","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068336830","display_name":"Wei Feng","orcid":"https://orcid.org/0000-0003-1907-2664"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Feng","raw_affiliation_strings":["Xidian University,School of Electronic Engineering,The Department of Remote Sensing Science and Technology,Xi’an,China,710071"],"affiliations":[{"raw_affiliation_string":"Xidian University,School of Electronic Engineering,The Department of Remote Sensing Science and Technology,Xi’an,China,710071","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008256662","display_name":"Yinghui Quan","orcid":"https://orcid.org/0000-0001-6541-9441"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yinghui Quan","raw_affiliation_strings":["Xidian University,School of Electronic Engineering,The Department of Remote Sensing Science and Technology,Xi’an,China,710071"],"affiliations":[{"raw_affiliation_string":"Xidian University,School of Electronic Engineering,The Department of Remote Sensing Science and Technology,Xi’an,China,710071","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100713585","display_name":"Fan Bu","orcid":"https://orcid.org/0009-0001-2575-8737"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fan Bu","raw_affiliation_strings":["Xidian University,School of Electronic Engineering,The Department of Remote Sensing Science and Technology,Xi’an,China,710071"],"affiliations":[{"raw_affiliation_string":"Xidian University,School of Electronic Engineering,The Department of Remote Sensing Science and Technology,Xi’an,China,710071","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046886217","display_name":"Zhiwei Xie","orcid":null},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhiwei Xie","raw_affiliation_strings":["Xidian University,School of Electronic Engineering,The Department of Remote Sensing Science and Technology,Xi’an,China,710071"],"affiliations":[{"raw_affiliation_string":"Xidian University,School of Electronic Engineering,The Department of Remote Sensing Science and Technology,Xi’an,China,710071","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5021408538","display_name":"Mengdao Xing","orcid":"https://orcid.org/0000-0002-4084-0915"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mengdao Xing","raw_affiliation_strings":["Xidian University,Academy of Advanced Interdisciplinary Research,Xi’an,China,710071"],"affiliations":[{"raw_affiliation_string":"Xidian University,Academy of Advanced Interdisciplinary Research,Xi’an,China,710071","institution_ids":["https://openalex.org/I149594827"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5007404036"],"corresponding_institution_ids":["https://openalex.org/I149594827"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.24011785,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"7903","last_page":"7906"},"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9955000281333923,"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":0.9921000003814697,"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-science","display_name":"Computer science","score":0.6680648326873779},{"id":"https://openalex.org/keywords/infrared","display_name":"Infrared","score":0.6357572674751282},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5348082780838013},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.5242854952812195},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5051544308662415},{"id":"https://openalex.org/keywords/image-fusion","display_name":"Image fusion","score":0.4945947825908661},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.22920635342597961},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.1027647852897644},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.09498026967048645}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6680648326873779},{"id":"https://openalex.org/C158355884","wikidata":"https://www.wikidata.org/wiki/Q11388","display_name":"Infrared","level":2,"score":0.6357572674751282},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5348082780838013},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.5242854952812195},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5051544308662415},{"id":"https://openalex.org/C69744172","wikidata":"https://www.wikidata.org/wiki/Q860822","display_name":"Image fusion","level":3,"score":0.4945947825908661},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.22920635342597961},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.1027647852897644},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.09498026967048645},{"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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss53475.2024.10640795","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/igarss53475.2024.10640795","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":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1863642109","https://openalex.org/W2028555274","https://openalex.org/W2042150079","https://openalex.org/W2146353910","https://openalex.org/W2559870345","https://openalex.org/W2735436330","https://openalex.org/W2809795042","https://openalex.org/W2963905288","https://openalex.org/W3130913316","https://openalex.org/W3203030644","https://openalex.org/W4322576316","https://openalex.org/W4353050758","https://openalex.org/W4394402179","https://openalex.org/W6864450276"],"related_works":["https://openalex.org/W2058170566","https://openalex.org/W2772917594","https://openalex.org/W2755342338","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2951359407","https://openalex.org/W2079911747","https://openalex.org/W1969923398","https://openalex.org/W2775347418"],"abstract_inverted_index":{"Infrared":[0],"and":[1,6,25,48,55,84,109],"visible":[2,49],"images":[3,77,113],"with":[4,99],"distinct":[5],"complementary":[7],"information":[8],"are":[9,91,114],"fused":[10,92],"to":[11,36,73,78],"obtain":[12],"more":[13],"comprehensive":[14],"information.":[15],"However,":[16],"traditional":[17],"fusion":[18,27,44,51,66,101,123,128],"algorithms":[19,108],"often":[20],"suffer":[21],"from":[22],"losing":[23],"details":[24],"low":[26],"quality.":[28],"Convolutional":[29],"neural":[30],"networks":[31],"(CNN)":[32],"have":[33],"been":[34],"proven":[35],"possess":[37],"excellent":[38],"feature":[39],"extraction":[40],"capabilities.":[41],"Therefore,":[42],"a":[43,68],"algorithm":[45,124],"for":[46],"infrared":[47],"image":[50],"based":[52],"on":[53],"CNN":[54,70],"Multi-Scale":[56],"Transform":[57],"(MST)":[58],"is":[59,71],"proposed":[60,122],"in":[61],"this":[62,65],"paper.":[63],"In":[64,103],"algorithm,":[67],"dual-branch":[69],"employed":[72],"map":[74,98],"the":[75,79,96,104,121,127,131],"original":[76,132],"weight":[80,97],"map.":[81],"The":[82,116],"low-pass":[83],"high-pass":[85],"bands":[86],"obtained":[87],"through":[88],"multi-scale":[89],"transformation":[90],"separately":[93],"by":[94],"combining":[95],"different":[100],"strategies.":[102],"experiment,":[105],"five":[106],"MST":[107,133],"21":[110],"pairs":[111],"of":[112,130],"tested.":[115],"experimental":[117],"results":[118],"demonstrate":[119],"that":[120],"significantly":[125],"enhances":[126],"quality":[129],"algorithms.":[134]},"counts_by_year":[],"updated_date":"2025-12-27T23:08:20.325037","created_date":"2025-10-10T00:00:00"}