{"id":"https://openalex.org/W3207974788","doi":"https://doi.org/10.1109/igarss47720.2021.9554024","title":"Progressive Band-Separated Convolutional Neural Network for Multispectral Pansharpening","display_name":"Progressive Band-Separated Convolutional Neural Network for Multispectral Pansharpening","publication_year":2021,"publication_date":"2021-07-11","ids":{"openalex":"https://openalex.org/W3207974788","doi":"https://doi.org/10.1109/igarss47720.2021.9554024","mag":"3207974788"},"language":"en","primary_location":{"id":"doi:10.1109/igarss47720.2021.9554024","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss47720.2021.9554024","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS","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/A5056495149","display_name":"Shi-Shi Xiao","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Shi-Shi Xiao","raw_affiliation_strings":["School of Information and Communication Engineering"],"affiliations":[{"raw_affiliation_string":"School of Information and Communication Engineering","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101788962","display_name":"Cheng Jin","orcid":"https://orcid.org/0000-0002-3522-3592"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Cheng Jin","raw_affiliation_strings":["School of Optoelectronic Science and Engineering"],"affiliations":[{"raw_affiliation_string":"School of Optoelectronic Science and Engineering","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061188534","display_name":"Tian-Jing Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I4210097173","display_name":"Shandong Yingcai University","ror":"https://ror.org/00qhrkk71","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210097173"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tian-Jing Zhang","raw_affiliation_strings":["Yingcai Honors College"],"affiliations":[{"raw_affiliation_string":"Yingcai Honors College","institution_ids":["https://openalex.org/I4210097173"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100638440","display_name":"Ran Ran","orcid":"https://orcid.org/0000-0001-9350-1389"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ran Ran","raw_affiliation_strings":["School of Mathematical Sciences, University of Electronic Science and Technology of China, Chengdu"],"affiliations":[{"raw_affiliation_string":"School of Mathematical Sciences, University of Electronic Science and Technology of China, Chengdu","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5088224232","display_name":"Liang-Jian Deng","orcid":"https://orcid.org/0000-0003-3178-9772"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liang-Jian Deng","raw_affiliation_strings":["School of Mathematical Sciences, University of Electronic Science and Technology of China, Chengdu"],"affiliations":[{"raw_affiliation_string":"School of Mathematical Sciences, University of Electronic Science and Technology of China, Chengdu","institution_ids":["https://openalex.org/I150229711"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5056495149"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.4986,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.69486405,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"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":0.9983999729156494,"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":0.9979000091552734,"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":0.944852888584137},{"id":"https://openalex.org/keywords/multispectral-image","display_name":"Multispectral image","score":0.9149647951126099},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.789040207862854},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7633028626441956},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7220149040222168},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6689704656600952},{"id":"https://openalex.org/keywords/spectral-bands","display_name":"Spectral bands","score":0.5210710763931274},{"id":"https://openalex.org/keywords/architecture","display_name":"Architecture","score":0.49727681279182434},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4467589259147644},{"id":"https://openalex.org/keywords/relation","display_name":"Relation (database)","score":0.41116929054260254},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3803468644618988},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.19723400473594666},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.1521749198436737}],"concepts":[{"id":"https://openalex.org/C107445234","wikidata":"https://www.wikidata.org/wiki/Q280995","display_name":"Panchromatic film","level":3,"score":0.944852888584137},{"id":"https://openalex.org/C173163844","wikidata":"https://www.wikidata.org/wiki/Q1761440","display_name":"Multispectral image","level":2,"score":0.9149647951126099},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.789040207862854},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7633028626441956},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7220149040222168},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6689704656600952},{"id":"https://openalex.org/C114700698","wikidata":"https://www.wikidata.org/wiki/Q2882278","display_name":"Spectral bands","level":2,"score":0.5210710763931274},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.49727681279182434},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4467589259147644},{"id":"https://openalex.org/C25343380","wikidata":"https://www.wikidata.org/wiki/Q277521","display_name":"Relation (database)","level":2,"score":0.41116929054260254},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3803468644618988},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.19723400473594666},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.1521749198436737},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss47720.2021.9554024","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss47720.2021.9554024","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6700000166893005,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W2171108951","https://openalex.org/W2171211028","https://openalex.org/W2171845746","https://openalex.org/W2194775991","https://openalex.org/W2514340250","https://openalex.org/W2777033955","https://openalex.org/W2963007295","https://openalex.org/W2964101377","https://openalex.org/W3029812440","https://openalex.org/W3081397212","https://openalex.org/W3096904276","https://openalex.org/W6685078114","https://openalex.org/W6746722832"],"related_works":["https://openalex.org/W1930929277","https://openalex.org/W2158394102","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/W2143372509","https://openalex.org/W2090253159"],"abstract_inverted_index":{"Recently,":[0],"convolutional":[1,44,57],"neural":[2],"networks":[3],"(CNNs)":[4],"have":[5,171],"been":[6],"introduced":[7],"to":[8,30,46,71,88,121,141,162],"pansharpening":[9,180],"for":[10,60,135],"enhancing":[11],"fusion":[12,132],"accuracy":[13],"and":[14,37,65,112,138,168],"overcoming":[15],"the":[16,19,32,63,73,79,91,96,144,152,164],"drawbacks":[17],"of":[18,24,34,43,84,102],"conventional":[20],"methods.":[21],"However,":[22],"most":[23],"methods":[25],"based":[26],"on":[27],"CNN":[28],"fail":[29],"distinguish":[31],"difference":[33],"multispectral":[35,97,113],"bands,":[36,69],"only":[38],"use":[39,129],"a":[40,54,118,130],"uniform":[41],"set":[42],"kernels":[45],"extract":[47],"features.":[48],"In":[49],"this":[50],"paper,":[51],"we":[52,94,128],"design":[53],"progressive,":[55],"band-separated":[56],"network":[58],"architecture":[59,81,153],"discriminatively":[61],"learning":[62],"features":[64],"relation":[66],"among":[67],"spectral":[68,92,131],"aiming":[70],"address":[72],"problem":[74],"mentioned":[75],"before.":[76],"More":[77],"specifically,":[78],"proposed":[80,175],"mainly":[82],"consists":[83],"three":[85],"aspects.":[86],"First,":[87],"accurately":[89],"preserve":[90],"peculiarities,":[93],"divide":[95],"input":[98],"image":[99],"in":[100],"terms":[101],"its":[103],"bands":[104],"into":[105,157],"several":[106],"groups.":[107],"Second,":[108],"our":[109,174],"original":[110],"panchromatic":[111],"inputs":[114],"are":[115],"filtered":[116],"by":[117],"high-pass":[119],"operation":[120],"further":[122],"yield":[123],"more":[124],"spatial":[125],"details.":[126],"Third,":[127],"module":[133],"(SFM)":[134],"each":[136],"group":[137],"associate":[139],"them":[140],"progressively":[142],"assemble":[143],"whole":[145],"architecture.":[146],"It":[147],"is":[148],"worth":[149],"mentioning":[150],"that":[151,173],"could":[154],"be":[155],"integrated":[156],"any":[158],"other":[159],"competitive":[160],"CNNs":[161],"improve":[163],"performance.":[165],"Both":[166],"visual":[167],"quantitative":[169],"experiments":[170],"demonstrated":[172],"method":[176],"outperforms":[177],"recent":[178],"state-of-the-art":[179],"techniques.":[181]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2022,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}