{"id":"https://openalex.org/W2963007295","doi":"https://doi.org/10.1109/jstars.2019.2898574","title":"Pansharpening via Detail Injection Based Convolutional Neural Networks","display_name":"Pansharpening via Detail Injection Based Convolutional Neural Networks","publication_year":2019,"publication_date":"2019-03-13","ids":{"openalex":"https://openalex.org/W2963007295","doi":"https://doi.org/10.1109/jstars.2019.2898574","mag":"2963007295"},"language":"en","primary_location":{"id":"doi:10.1109/jstars.2019.2898574","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jstars.2019.2898574","pdf_url":null,"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":false,"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":null,"license_id":null,"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":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5040061834","display_name":"Lin He","orcid":"https://orcid.org/0000-0003-3801-7257"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Lin He","raw_affiliation_strings":["School of Automation Science and Engineering, South China University of Technology, Guangzhou, China","SCUT - South China University of Technology [Guangzhou] (Guangzhou - China)"],"affiliations":[{"raw_affiliation_string":"School of Automation Science and Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]},{"raw_affiliation_string":"SCUT - South China University of Technology [Guangzhou] (Guangzhou - China)","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074387695","display_name":"Yizhou Rao","orcid":null},"institutions":[{"id":"https://openalex.org/I3045169105","display_name":"Southern University of Science and Technology","ror":"https://ror.org/049tv2d57","country_code":"CN","type":"education","lineage":["https://openalex.org/I3045169105"]},{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yizhou Rao","raw_affiliation_strings":["School of Automation Science and Engineering, South China University of Technology, Guangzhou, China","SUSTech - Southern University of Science and Technology (1088 Xueyuan Ave, Nanshan, Shenzhen, Guangdong, 518055  - China)"],"affiliations":[{"raw_affiliation_string":"School of Automation Science and Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]},{"raw_affiliation_string":"SUSTech - Southern University of Science and Technology (1088 Xueyuan Ave, Nanshan, Shenzhen, Guangdong, 518055  - China)","institution_ids":["https://openalex.org/I3045169105"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100362041","display_name":"Jun Li","orcid":"https://orcid.org/0000-0003-1613-9448"},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Li","raw_affiliation_strings":["Key Laboratory of Visual Perception and Artificial Intelligence of Hunan Province the College of Electrical and Information Engineering, Hunan University, Changsha, China","HNU - Hunan University [Changsha] (Lushan Road (S), Yuelu District, Changsha, Hunan Province 410082 - China)"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Visual Perception and Artificial Intelligence of Hunan Province the College of Electrical and Information Engineering, Hunan University, Changsha, China","institution_ids":["https://openalex.org/I16609230"]},{"raw_affiliation_string":"HNU - Hunan University [Changsha] (Lushan Road (S), Yuelu District, Changsha, Hunan Province 410082 - China)","institution_ids":["https://openalex.org/I16609230"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5106124934","display_name":"Jocelyn Chanussot","orcid":"https://orcid.org/0000-0003-4817-2875"},"institutions":[{"id":"https://openalex.org/I106785703","display_name":"Institut polytechnique de Grenoble","ror":"https://ror.org/05sbt2524","country_code":"FR","type":"education","lineage":["https://openalex.org/I106785703","https://openalex.org/I899635006"]},{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I4210124956","display_name":"GIPSA-Lab","ror":"https://ror.org/02wrme198","country_code":"FR","type":"facility","lineage":["https://openalex.org/I106785703","https://openalex.org/I1294671590","https://openalex.org/I4210124956","https://openalex.org/I899635006","https://openalex.org/I899635006"]},{"id":"https://openalex.org/I899635006","display_name":"Universit\u00e9 Grenoble Alpes","ror":"https://ror.org/02rx3b187","country_code":"FR","type":"education","lineage":["https://openalex.org/I899635006"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Jocelyn Chanussot","raw_affiliation_strings":["CNRS, Grenoble INP, GIPSA-lab, University of Grenoble Alpes, Grenoble, France","GIPSA-SIGMAPHY - GIPSA - Signal Images Physique (GIPSA-lab, 11 rue des Math\u00e9matiques, Grenoble Campus BP46, F-38402 SAINT MARTIN D'HERES CEDEX - France)"],"affiliations":[{"raw_affiliation_string":"CNRS, Grenoble INP, GIPSA-lab, University of Grenoble Alpes, Grenoble, France","institution_ids":["https://openalex.org/I106785703","https://openalex.org/I4210124956","https://openalex.org/I899635006","https://openalex.org/I1294671590"]},{"raw_affiliation_string":"GIPSA-SIGMAPHY - GIPSA - Signal Images Physique (GIPSA-lab, 11 rue des Math\u00e9matiques, Grenoble Campus BP46, F-38402 SAINT MARTIN D'HERES CEDEX - France)","institution_ids":["https://openalex.org/I4210124956"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054292278","display_name":"Antonio Plaza","orcid":"https://orcid.org/0000-0002-9613-1659"},"institutions":[{"id":"https://openalex.org/I80606768","display_name":"Universidad de Extremadura","ror":"https://ror.org/0174shg90","country_code":"ES","type":"education","lineage":["https://openalex.org/I80606768"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Antonio Plaza","raw_affiliation_strings":["Hyperspectral Computing Laboratory, University of Extremadura, C\u00e1ceres, Spain","Hyperspectral Computing Laboratory (Caceres, Spain) (Spain)"],"affiliations":[{"raw_affiliation_string":"Hyperspectral Computing Laboratory, University of Extremadura, C\u00e1ceres, Spain","institution_ids":["https://openalex.org/I80606768"]},{"raw_affiliation_string":"Hyperspectral Computing Laboratory (Caceres, Spain) (Spain)","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101422975","display_name":"Jiawei Zhu","orcid":"https://orcid.org/0000-0001-7203-2456"},"institutions":[{"id":"https://openalex.org/I37553959","display_name":"Universit\u00e9 de technologie de belfort-montb\u00e9liard","ror":"https://ror.org/05bn3m307","country_code":"FR","type":"education","lineage":["https://openalex.org/I37553959"]},{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN","FR"],"is_corresponding":false,"raw_author_name":"Jiawei Zhu","raw_affiliation_strings":["School of Automation Science and Engineering, South China University of Technology, Guangzhou, China","UTBM - Universit\u00e9 de Technologie de Belfort-Montbeliard (France)"],"affiliations":[{"raw_affiliation_string":"School of Automation Science and Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]},{"raw_affiliation_string":"UTBM - Universit\u00e9 de Technologie de Belfort-Montbeliard (France)","institution_ids":["https://openalex.org/I37553959"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100758169","display_name":"Bo Li","orcid":"https://orcid.org/0000-0001-5980-4861"},"institutions":[{"id":"https://openalex.org/I4210104430","display_name":"Laboratoire d'Informatique de Grenoble","ror":"https://ror.org/01c8rcg82","country_code":"FR","type":"facility","lineage":["https://openalex.org/I106785703","https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I1326498283","https://openalex.org/I4210104430","https://openalex.org/I4210159245","https://openalex.org/I899635006","https://openalex.org/I899635006"]},{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN","FR"],"is_corresponding":false,"raw_author_name":"Bo Li","raw_affiliation_strings":["Beijing Key Laboratory of Digital Media, Beihang University, Beijing, China","AMA  - Analyse de donn\u00e9es, Mod\u00e9lisation et Apprentissage automatique [Grenoble] (Laboratoire LIG - B\u00e2timent IMAG - 700 avenue Centrale, CS 40700 - 38058 Grenoble cedex 9 - France)"],"affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Digital Media, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]},{"raw_affiliation_string":"AMA  - Analyse de donn\u00e9es, Mod\u00e9lisation et Apprentissage automatique [Grenoble] (Laboratoire LIG - B\u00e2timent IMAG - 700 avenue Centrale, CS 40700 - 38058 Grenoble cedex 9 - France)","institution_ids":["https://openalex.org/I4210104430"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5040061834"],"corresponding_institution_ids":["https://openalex.org/I90610280"],"apc_list":{"value":1250,"currency":"USD","value_usd":1250},"apc_paid":null,"fwci":18.6393,"has_fulltext":false,"cited_by_count":231,"citation_normalized_percentile":{"value":0.99385281,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":"12","issue":"4","first_page":"1188","last_page":"1204"},"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":0.9980999827384949,"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":0.9977999925613403,"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/panchromatic-film","display_name":"Panchromatic film","score":0.9305710196495056},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8226650357246399},{"id":"https://openalex.org/keywords/multispectral-image","display_name":"Multispectral image","score":0.7442804574966431},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6885195374488831},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6870649456977844},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.6031612157821655},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.6009302735328674},{"id":"https://openalex.org/keywords/fuse","display_name":"Fuse (electrical)","score":0.5929688215255737},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.48796600103378296},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4747776687145233},{"id":"https://openalex.org/keywords/image-fusion","display_name":"Image fusion","score":0.4369899034500122},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.38180622458457947}],"concepts":[{"id":"https://openalex.org/C107445234","wikidata":"https://www.wikidata.org/wiki/Q280995","display_name":"Panchromatic film","level":3,"score":0.9305710196495056},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8226650357246399},{"id":"https://openalex.org/C173163844","wikidata":"https://www.wikidata.org/wiki/Q1761440","display_name":"Multispectral image","level":2,"score":0.7442804574966431},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6885195374488831},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6870649456977844},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.6031612157821655},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6009302735328674},{"id":"https://openalex.org/C141353440","wikidata":"https://www.wikidata.org/wiki/Q182221","display_name":"Fuse (electrical)","level":2,"score":0.5929688215255737},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.48796600103378296},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4747776687145233},{"id":"https://openalex.org/C69744172","wikidata":"https://www.wikidata.org/wiki/Q860822","display_name":"Image fusion","level":3,"score":0.4369899034500122},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.38180622458457947},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"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/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/jstars.2019.2898574","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jstars.2019.2898574","pdf_url":null,"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":false,"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":null,"license_id":null,"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:HAL:hal-02307369v1","is_oa":false,"landing_page_url":"https://hal.science/hal-02307369","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2019, 12 (4), pp.1188-1204. &#x27E8;10.1109/JSTARS.2019.2898574&#x27E9;","raw_type":"Journal articles"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2336062148","display_name":null,"funder_award_id":"2016A030313516","funder_id":"https://openalex.org/F4320321921","funder_display_name":"Natural Science Foundation of Guangdong Province"},{"id":"https://openalex.org/G2368597761","display_name":null,"funder_award_id":"61633010","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4142269679","display_name":null,"funder_award_id":"61571195","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4242704309","display_name":null,"funder_award_id":"61836003","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4690249876","display_name":null,"funder_award_id":"2017A030313382","funder_id":"https://openalex.org/F4320321921","funder_display_name":"Natural Science Foundation of Guangdong Province"},{"id":"https://openalex.org/G5582823998","display_name":null,"funder_award_id":"201706155080","funder_id":"https://openalex.org/F4320322725","funder_display_name":"China Scholarship Council"},{"id":"https://openalex.org/G6321125736","display_name":null,"funder_award_id":"2016A030313254","funder_id":"https://openalex.org/F4320321921","funder_display_name":"Natural Science Foundation of Guangdong Province"},{"id":"https://openalex.org/G8240734429","display_name":null,"funder_award_id":"61771496","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"},{"id":"https://openalex.org/F4320321921","display_name":"Natural Science Foundation of Guangdong Province","ror":null},{"id":"https://openalex.org/F4320322725","display_name":"China Scholarship Council","ror":"https://ror.org/04atp4p48"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":60,"referenced_works":["https://openalex.org/W54257720","https://openalex.org/W114517082","https://openalex.org/W1247035941","https://openalex.org/W1521436688","https://openalex.org/W1522301498","https://openalex.org/W1569512666","https://openalex.org/W1653130573","https://openalex.org/W1665214252","https://openalex.org/W1799163428","https://openalex.org/W1885185971","https://openalex.org/W1899249567","https://openalex.org/W1943127271","https://openalex.org/W1963882359","https://openalex.org/W1980110630","https://openalex.org/W1991460509","https://openalex.org/W2000323021","https://openalex.org/W2024165284","https://openalex.org/W2064366277","https://openalex.org/W2068470708","https://openalex.org/W2088538848","https://openalex.org/W2100329651","https://openalex.org/W2103428240","https://openalex.org/W2112796928","https://openalex.org/W2113338111","https://openalex.org/W2123046940","https://openalex.org/W2124743705","https://openalex.org/W2144436897","https://openalex.org/W2147800946","https://openalex.org/W2149720806","https://openalex.org/W2155893237","https://openalex.org/W2158027388","https://openalex.org/W2163334907","https://openalex.org/W2163677711","https://openalex.org/W2165651437","https://openalex.org/W2171108951","https://openalex.org/W2171211028","https://openalex.org/W2171845746","https://openalex.org/W2172185514","https://openalex.org/W2194775991","https://openalex.org/W2242218935","https://openalex.org/W2302265399","https://openalex.org/W2462592242","https://openalex.org/W2500751094","https://openalex.org/W2615439916","https://openalex.org/W2619662254","https://openalex.org/W2963183385","https://openalex.org/W2963442801","https://openalex.org/W4299518610","https://openalex.org/W6628238970","https://openalex.org/W6631190155","https://openalex.org/W6637240974","https://openalex.org/W6637242042","https://openalex.org/W6639736602","https://openalex.org/W6675698002","https://openalex.org/W6682132143","https://openalex.org/W6684197827","https://openalex.org/W6685078114","https://openalex.org/W6687483927","https://openalex.org/W6697828997","https://openalex.org/W6738464239"],"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/W2011962637","https://openalex.org/W2163677711"],"abstract_inverted_index":{"Pansharpening":[0],"aims":[1],"to":[2,38,173],"fuse":[3],"a":[4,15,39,65,151],"multispectral":[5],"(MS)":[6],"image":[7,17,101,166],"with":[8,18,77],"an":[9],"associated":[10],"panchromatic":[11],"(PAN)":[12],"image,":[13,105],"producing":[14],"composite":[16],"the":[19,23,26,30,46,51,78,88,99,103,107,113,120,141,144],"spectral":[20],"resolution":[21,28],"of":[22,29,53,119,143,155],"former":[24],"and":[25,56,102,106,130],"spatial":[27],"latter.":[31],"Traditional":[32],"pansharpening":[33,76,138],"methods":[34,158],"can":[35,131],"be":[36],"ascribed":[37],"unified":[40],"detail":[41,67,90],"injection":[42,58,68,91],"context,":[43],"which":[44],"views":[45],"injected":[47],"MS":[48,79,96,104,165],"details":[49,55,80,97],"as":[50],"integration":[52],"PAN":[54,100,114],"bandwise":[57],"gains.":[59],"In":[60],"this":[61],"paper,":[62],"we":[63],"design":[64],"new":[66],"based":[69,92],"convolutional":[70],"neural":[71],"network":[72],"(DiCNN)":[73],"framework":[74],"for":[75],"being":[81],"directly":[82],"formulated":[83],"in":[84],"end-to-end":[85],"manners,":[86],"where":[87],"first":[89],"CNN":[93],"(DiCNN1)":[94],"mines":[95],"through":[98],"second":[108],"one":[109],"(DiCNN2)":[110],"utilizes":[111],"only":[112],"image.":[115],"The":[116],"main":[117],"advantage":[118],"proposed":[121,145],"DiCNNs":[122],"is":[123,147],"that":[124],"they":[125],"provide":[126],"explicit":[127],"physical":[128],"interpretations":[129],"achieve":[132],"fast":[133],"convergence":[134],"while":[135],"achieving":[136,168],"high":[137],"quality.":[139],"Furthermore,":[140],"effectiveness":[142],"approaches":[146],"also":[148],"analyzed":[149],"from":[150],"relatively":[152],"theoretical":[153],"point":[154],"view.":[156],"Our":[157],"are":[159],"evaluated":[160],"via":[161],"experiments":[162],"on":[163],"real":[164],"datasets,":[167],"excellent":[169],"performance":[170],"when":[171],"compared":[172],"other":[174],"state-of-the-art":[175],"methods.":[176]},"counts_by_year":[{"year":2026,"cited_by_count":7},{"year":2025,"cited_by_count":43},{"year":2024,"cited_by_count":36},{"year":2023,"cited_by_count":42},{"year":2022,"cited_by_count":40},{"year":2021,"cited_by_count":33},{"year":2020,"cited_by_count":26},{"year":2019,"cited_by_count":4}],"updated_date":"2026-03-27T14:29:43.386196","created_date":"2025-10-10T00:00:00"}
