{"id":"https://openalex.org/W3207321726","doi":"https://doi.org/10.1109/igarss47720.2021.9555127","title":"Weighted Shallow-Deep Feature Fusion Network for Pansharpening","display_name":"Weighted Shallow-Deep Feature Fusion Network for Pansharpening","publication_year":2021,"publication_date":"2021-07-11","ids":{"openalex":"https://openalex.org/W3207321726","doi":"https://doi.org/10.1109/igarss47720.2021.9555127","mag":"3207321726"},"language":"en","primary_location":{"id":"doi:10.1109/igarss47720.2021.9555127","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss47720.2021.9555127","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":"conference-paper","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/A5068556247","display_name":"Zi-Rong Jin","orcid":"https://orcid.org/0000-0003-4954-2989"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zi-Rong Jin","raw_affiliation_strings":["School of Optoelectronic Science and Engineering"],"raw_orcid":null,"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"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Yingcai Honors College","institution_ids":["https://openalex.org/I4210097173"]}]},{"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"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Optoelectronic Science and Engineering","institution_ids":[]}]},{"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"],"raw_orcid":null,"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":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"40","issue":null,"first_page":"2632","last_page":"2635"},"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/T11019","display_name":"Image Enhancement Techniques","score":0.9944999814033508,"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":0.7474526762962341},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.679516077041626},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6602014899253845},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6293824911117554},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6280285120010376},{"id":"https://openalex.org/keywords/multispectral-image","display_name":"Multispectral image","score":0.5974876880645752},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.5358271598815918},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.4686141908168793},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4102003574371338},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.06697303056716919}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7474526762962341},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.679516077041626},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6602014899253845},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6293824911117554},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6280285120010376},{"id":"https://openalex.org/C173163844","wikidata":"https://www.wikidata.org/wiki/Q1761440","display_name":"Multispectral image","level":2,"score":0.5974876880645752},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.5358271598815918},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.4686141908168793},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4102003574371338},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.06697303056716919},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems 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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss47720.2021.9555127","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss47720.2021.9555127","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":[{"id":"https://metadata.un.org/sdg/14","score":0.49000000953674316,"display_name":"Life below water"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W2001800591","https://openalex.org/W2064366277","https://openalex.org/W2100329651","https://openalex.org/W2123046940","https://openalex.org/W2165651437","https://openalex.org/W2171211028","https://openalex.org/W2172185514","https://openalex.org/W2462592242","https://openalex.org/W2777033955","https://openalex.org/W2803614623","https://openalex.org/W2963007295","https://openalex.org/W3029812440","https://openalex.org/W3096904276","https://openalex.org/W6684197827","https://openalex.org/W6746722832"],"related_works":["https://openalex.org/W4318664220","https://openalex.org/W2771047279","https://openalex.org/W4388409104","https://openalex.org/W1544811710","https://openalex.org/W2124951708","https://openalex.org/W172072032","https://openalex.org/W2006066416","https://openalex.org/W3157073418","https://openalex.org/W2058127401","https://openalex.org/W2039041387"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3],"propose":[4],"a":[5,42,69,99],"novel":[6,43],"weighted":[7],"shallow-deep":[8],"feature":[9,58],"fusion":[10,59],"convolutional":[11],"neural":[12],"network":[13,23,62],"(WSDFNet)":[14],"for":[15],"the":[16,27,30,52,57,81,84],"task":[17],"of":[18,29,83],"multispectral":[19],"image":[20],"pansharpening.":[21],"This":[22],"could":[24,55],"effectively":[25],"overcome":[26],"drawback":[28],"common":[31],"identity":[32],"skip":[33,45],"connection":[34],"(ISC),":[35],"and":[36,76],"propagate":[37],"shallow":[38],"features":[39],"scaled":[40],"by":[41],"adaptive":[44],"weighter":[46],"(ASW)":[47],"to":[48],"deeper":[49],"layers.":[50],"By":[51],"technique,":[53],"it":[54],"favor":[56],"in":[60],"different":[61],"depths":[63],"adequately,":[64],"as":[65,67,98],"well":[66],"yield":[68],"promising":[70],"outcome.":[71],"Experimental":[72],"results":[73],"on":[74],"reduced-":[75],"full-resolution":[77],"WorldView-3":[78],"dataset":[79],"demonstrate":[80],"superiority":[82],"WSDFNet":[85,94],"compared":[86],"with":[87],"recent":[88],"state-of-the-art":[89],"(SOTA)":[90],"pansharpening":[91],"approaches.":[92],"Moreover,":[93],"is":[95],"also":[96],"verified":[97],"lightweight":[100],"network.":[101]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}