{"id":"https://openalex.org/W4377232614","doi":"https://doi.org/10.1109/jstars.2023.3278296","title":"Cross Spectral and Spatial Scale Non-local Attention-Based Unsupervised Pansharpening Network","display_name":"Cross Spectral and Spatial Scale Non-local Attention-Based Unsupervised Pansharpening Network","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4377232614","doi":"https://doi.org/10.1109/jstars.2023.3278296"},"language":"en","primary_location":{"id":"doi:10.1109/jstars.2023.3278296","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2023.3278296","pdf_url":"https://ieeexplore.ieee.org/ielx7/4609443/9973430/10130294.pdf","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://ieeexplore.ieee.org/ielx7/4609443/9973430/10130294.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5026257422","display_name":"Shuangliang Li","orcid":"https://orcid.org/0000-0001-9215-1727"},"institutions":[{"id":"https://openalex.org/I1327237609","display_name":"Ministry of Education of the People's Republic of China","ror":"https://ror.org/01mv9t934","country_code":"CN","type":"government","lineage":["https://openalex.org/I1327237609","https://openalex.org/I4210127390"]},{"id":"https://openalex.org/I211433327","display_name":"Ministry of Natural Resources","ror":"https://ror.org/02kxqx159","country_code":"CN","type":"government","lineage":["https://openalex.org/I211433327","https://openalex.org/I4210127390"]},{"id":"https://openalex.org/I3124059619","display_name":"China University of Geosciences","ror":"https://ror.org/04gcegc37","country_code":"CN","type":"education","lineage":["https://openalex.org/I3124059619"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Shuangliang Li","raw_affiliation_strings":["Key Laboratory of Natural Resources Monitoring in Tropical and Subtropical Area of South China, Ministry of Natural Resources, Guangzhou, China","School of Geography and Information Engineering, China University of Geosciences, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0001-9215-1727","affiliations":[{"raw_affiliation_string":"Key Laboratory of Natural Resources Monitoring in Tropical and Subtropical Area of South China, Ministry of Natural Resources, Guangzhou, China","institution_ids":["https://openalex.org/I1327237609","https://openalex.org/I211433327"]},{"raw_affiliation_string":"School of Geography and Information Engineering, China University of Geosciences, Wuhan, China","institution_ids":["https://openalex.org/I3124059619"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007043211","display_name":"Yugang Tian","orcid":"https://orcid.org/0000-0002-0455-2094"},"institutions":[{"id":"https://openalex.org/I1327237609","display_name":"Ministry of Education of the People's Republic of China","ror":"https://ror.org/01mv9t934","country_code":"CN","type":"government","lineage":["https://openalex.org/I1327237609","https://openalex.org/I4210127390"]},{"id":"https://openalex.org/I211433327","display_name":"Ministry of Natural Resources","ror":"https://ror.org/02kxqx159","country_code":"CN","type":"government","lineage":["https://openalex.org/I211433327","https://openalex.org/I4210127390"]},{"id":"https://openalex.org/I3124059619","display_name":"China University of Geosciences","ror":"https://ror.org/04gcegc37","country_code":"CN","type":"education","lineage":["https://openalex.org/I3124059619"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yugang Tian","raw_affiliation_strings":["Key Laboratory of Natural Resources Monitoring in Tropical and Subtropical Area of South China, Ministry of Natural Resources, Guangzhou, China","School of Geography and Information Engineering, China University of Geosciences, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0002-0455-2094","affiliations":[{"raw_affiliation_string":"Key Laboratory of Natural Resources Monitoring in Tropical and Subtropical Area of South China, Ministry of Natural Resources, Guangzhou, China","institution_ids":["https://openalex.org/I1327237609","https://openalex.org/I211433327"]},{"raw_affiliation_string":"School of Geography and Information Engineering, China University of Geosciences, Wuhan, China","institution_ids":["https://openalex.org/I3124059619"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100416961","display_name":"Cheng Wang","orcid":"https://orcid.org/0000-0001-6075-796X"},"institutions":[{"id":"https://openalex.org/I1327237609","display_name":"Ministry of Education of the People's Republic of China","ror":"https://ror.org/01mv9t934","country_code":"CN","type":"government","lineage":["https://openalex.org/I1327237609","https://openalex.org/I4210127390"]},{"id":"https://openalex.org/I211433327","display_name":"Ministry of Natural Resources","ror":"https://ror.org/02kxqx159","country_code":"CN","type":"government","lineage":["https://openalex.org/I211433327","https://openalex.org/I4210127390"]},{"id":"https://openalex.org/I3124059619","display_name":"China University of Geosciences","ror":"https://ror.org/04gcegc37","country_code":"CN","type":"education","lineage":["https://openalex.org/I3124059619"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Cheng Wang","raw_affiliation_strings":["Key Laboratory of Natural Resources Monitoring in Tropical and Subtropical Area of South China, Ministry of Natural Resources, Guangzhou, China","School of Geography and Information Engineering, China University of Geosciences, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Natural Resources Monitoring in Tropical and Subtropical Area of South China, Ministry of Natural Resources, Guangzhou, China","institution_ids":["https://openalex.org/I1327237609","https://openalex.org/I211433327"]},{"raw_affiliation_string":"School of Geography and Information Engineering, China University of Geosciences, Wuhan, China","institution_ids":["https://openalex.org/I3124059619"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062574256","display_name":"Hongxian Wu","orcid":"https://orcid.org/0000-0002-4785-7082"},"institutions":[{"id":"https://openalex.org/I1327237609","display_name":"Ministry of Education of the People's Republic of China","ror":"https://ror.org/01mv9t934","country_code":"CN","type":"government","lineage":["https://openalex.org/I1327237609","https://openalex.org/I4210127390"]},{"id":"https://openalex.org/I211433327","display_name":"Ministry of Natural Resources","ror":"https://ror.org/02kxqx159","country_code":"CN","type":"government","lineage":["https://openalex.org/I211433327","https://openalex.org/I4210127390"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongxian Wu","raw_affiliation_strings":["Key Laboratory of Natural Resources Monitoring in Tropical and Subtropical Area of South China, Ministry of Natural Resources, Guangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Natural Resources Monitoring in Tropical and Subtropical Area of South China, Ministry of Natural Resources, Guangzhou, China","institution_ids":["https://openalex.org/I1327237609","https://openalex.org/I211433327"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5037259600","display_name":"Shaolan Zheng","orcid":null},"institutions":[{"id":"https://openalex.org/I1327237609","display_name":"Ministry of Education of the People's Republic of China","ror":"https://ror.org/01mv9t934","country_code":"CN","type":"government","lineage":["https://openalex.org/I1327237609","https://openalex.org/I4210127390"]},{"id":"https://openalex.org/I211433327","display_name":"Ministry of Natural Resources","ror":"https://ror.org/02kxqx159","country_code":"CN","type":"government","lineage":["https://openalex.org/I211433327","https://openalex.org/I4210127390"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shaolan Zheng","raw_affiliation_strings":["Key Laboratory of Natural Resources Monitoring in Tropical and Subtropical Area of South China, Ministry of Natural Resources, Guangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Natural Resources Monitoring in Tropical and Subtropical Area of South China, Ministry of Natural Resources, Guangzhou, China","institution_ids":["https://openalex.org/I1327237609","https://openalex.org/I211433327"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5026257422"],"corresponding_institution_ids":["https://openalex.org/I1327237609","https://openalex.org/I211433327","https://openalex.org/I3124059619"],"apc_list":{"value":1250,"currency":"USD","value_usd":1250},"apc_paid":{"value":1250,"currency":"USD","value_usd":1250},"fwci":1.0814,"has_fulltext":true,"cited_by_count":7,"citation_normalized_percentile":{"value":0.79819094,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"16","issue":null,"first_page":"4858","last_page":"4870"},"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":0.996399998664856,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9944000244140625,"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/panchromatic-film","display_name":"Panchromatic film","score":0.8519015312194824},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7574141621589661},{"id":"https://openalex.org/keywords/multispectral-image","display_name":"Multispectral image","score":0.7225508689880371},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6932882070541382},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6889408826828003},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6694737076759338},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.6318621039390564},{"id":"https://openalex.org/keywords/image-fusion","display_name":"Image fusion","score":0.49997401237487793},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4968710243701935},{"id":"https://openalex.org/keywords/fuse","display_name":"Fuse (electrical)","score":0.46009817719459534},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.4597402513027191},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.4536735713481903},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.4438195824623108},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.4170771837234497},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3547050356864929},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3363516926765442},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.06638163328170776}],"concepts":[{"id":"https://openalex.org/C107445234","wikidata":"https://www.wikidata.org/wiki/Q280995","display_name":"Panchromatic film","level":3,"score":0.8519015312194824},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7574141621589661},{"id":"https://openalex.org/C173163844","wikidata":"https://www.wikidata.org/wiki/Q1761440","display_name":"Multispectral image","level":2,"score":0.7225508689880371},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6932882070541382},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6889408826828003},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6694737076759338},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.6318621039390564},{"id":"https://openalex.org/C69744172","wikidata":"https://www.wikidata.org/wiki/Q860822","display_name":"Image fusion","level":3,"score":0.49997401237487793},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4968710243701935},{"id":"https://openalex.org/C141353440","wikidata":"https://www.wikidata.org/wiki/Q182221","display_name":"Fuse (electrical)","level":2,"score":0.46009817719459534},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.4597402513027191},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.4536735713481903},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.4438195824623108},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.4170771837234497},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3547050356864929},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3363516926765442},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.06638163328170776},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"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":2,"locations":[{"id":"doi:10.1109/jstars.2023.3278296","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2023.3278296","pdf_url":"https://ieeexplore.ieee.org/ielx7/4609443/9973430/10130294.pdf","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:34425dfee31c44f38b72d1d68c9b506b","is_oa":true,"landing_page_url":"https://doaj.org/article/34425dfee31c44f38b72d1d68c9b506b","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 16, Pp 4858-4870 (2023)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/jstars.2023.3278296","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2023.3278296","pdf_url":"https://ieeexplore.ieee.org/ielx7/4609443/9973430/10130294.pdf","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":[],"awards":[{"id":"https://openalex.org/G845512984","display_name":null,"funder_award_id":"2022NRM003","funder_id":"https://openalex.org/F4320310282","funder_display_name":"Ministry of Natural Resources"}],"funders":[{"id":"https://openalex.org/F4320310282","display_name":"Ministry of Natural Resources","ror":"https://ror.org/02ntv3742"},{"id":"https://openalex.org/F4320318547","display_name":"Baidu","ror":"https://ror.org/03vs3wt56"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4377232614.pdf","grobid_xml":"https://content.openalex.org/works/W4377232614.grobid-xml"},"referenced_works_count":56,"referenced_works":["https://openalex.org/W1561797649","https://openalex.org/W1976416062","https://openalex.org/W1990231296","https://openalex.org/W2001800591","https://openalex.org/W2021407139","https://openalex.org/W2062811295","https://openalex.org/W2088538848","https://openalex.org/W2100329651","https://openalex.org/W2123046940","https://openalex.org/W2124743705","https://openalex.org/W2139529730","https://openalex.org/W2150490197","https://openalex.org/W2152254169","https://openalex.org/W2159269332","https://openalex.org/W2171108951","https://openalex.org/W2171211028","https://openalex.org/W2171845746","https://openalex.org/W2194775991","https://openalex.org/W2462592242","https://openalex.org/W2534320940","https://openalex.org/W2745963626","https://openalex.org/W2754256031","https://openalex.org/W2773140478","https://openalex.org/W2777033955","https://openalex.org/W2954930822","https://openalex.org/W2962737939","https://openalex.org/W2963442801","https://openalex.org/W2964275574","https://openalex.org/W2981854972","https://openalex.org/W3023221758","https://openalex.org/W3023991509","https://openalex.org/W3034461890","https://openalex.org/W3035022492","https://openalex.org/W3035280441","https://openalex.org/W3041178351","https://openalex.org/W3043408700","https://openalex.org/W3096480538","https://openalex.org/W3097824737","https://openalex.org/W3098542449","https://openalex.org/W3099258777","https://openalex.org/W3200410745","https://openalex.org/W3217107289","https://openalex.org/W4205708292","https://openalex.org/W4206658672","https://openalex.org/W4226068212","https://openalex.org/W4226120860","https://openalex.org/W4226198972","https://openalex.org/W4287020683","https://openalex.org/W4303629092","https://openalex.org/W4312340363","https://openalex.org/W4367146812","https://openalex.org/W4385245566","https://openalex.org/W6682107430","https://openalex.org/W6685078114","https://openalex.org/W6739901393","https://openalex.org/W6752237900"],"related_works":["https://openalex.org/W2158394102","https://openalex.org/W1930929277","https://openalex.org/W2361746014","https://openalex.org/W1502637513","https://openalex.org/W2124952510","https://openalex.org/W2375311607","https://openalex.org/W2022261651","https://openalex.org/W2565514930","https://openalex.org/W4385690043","https://openalex.org/W3007156798"],"abstract_inverted_index":{"Pansharpening":[0],"means":[1],"fusing":[2],"the":[3,11,17,25,31,45,55,62,70,83,90,97,109,138,145,152,157,162,168],"low":[4,158],"spatial":[5,57,130],"resolution":[6,19,159,164],"multispectral":[7,20],"image":[8,14,21,91,142],"(LRMSI)":[9],"and":[10,53,58,65,103,106,129,140,166],"panchromatic":[12],"(PAN)":[13],"to":[15,24,50,87,94,107,135,161,185],"get":[16],"high":[18,163],"(HRMSI).":[22],"Due":[23],"powerful":[26],"feature":[27,79,85,111],"learning":[28,80],"ability":[29],"of":[30,44,125],"deep-learning":[32],"(DL),":[33],"DL-based":[34],"unsupervised":[35,117],"fusion":[36,46,72,118,146,187],"methods":[37,47],"have":[38],"been":[39],"developed":[40],"explosively.":[41],"However,":[42],"most":[43],"are":[48],"difficult":[49],"fully":[51,95],"explore":[52,108],"utilize":[54],"correct":[56,98],"spectral":[59,128],"correlation":[60],"between":[61,100],"LRMSI,":[63,101],"HRMSI,":[64,102],"PAN":[66,104,141],"images.":[67],"In":[68],"addition,":[69],"CNN-dominated":[71],"framework":[73],"is":[74,123,148],"limited":[75],"by":[76,150],"its":[77],"local":[78],"without":[81],"exploring":[82],"global":[84,110],"dependency":[86],"further":[88],"enhance":[89],"feature.":[92,171],"Therefore,":[93],"exploit":[96],"correlations":[99],"images":[105],"dependency,":[112],"we":[113],"designed":[114],"a":[115],"cross-scale":[116],"network":[119,122],"(CSFNet).":[120],"This":[121],"composed":[124],"two":[126,176],"cross":[127],"scale's":[131],"nonlocal":[132,154],"attention":[133],"blocks":[134],"effectively":[136],"fuse":[137],"LRMSI":[139],"features.":[143],"And":[144],"strategy":[147],"implemented":[149],"mapping":[151],"computed":[153],"similarity":[155],"from":[156],"scale":[160,165],"outputs":[167],"reconstructed":[169],"HRMSI":[170],"The":[172],"experimental":[173],"results":[174],"on":[175],"datasets":[177],"show":[178],"that":[179],"it":[180],"achieves":[181],"state-of-the-art":[182],"performance":[183],"compared":[184],"other":[186],"methods.":[188]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":1}],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-10-10T00:00:00"}