{"id":"https://openalex.org/W4285601348","doi":"https://doi.org/10.24963/ijcai.2022/179","title":"Source-Adaptive Discriminative Kernels based Network for Remote Sensing Pansharpening","display_name":"Source-Adaptive Discriminative Kernels based Network for Remote Sensing Pansharpening","publication_year":2022,"publication_date":"2022-07-01","ids":{"openalex":"https://openalex.org/W4285601348","doi":"https://doi.org/10.24963/ijcai.2022/179"},"language":"en","primary_location":{"id":"doi:10.24963/ijcai.2022/179","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2022/179","pdf_url":"https://www.ijcai.org/proceedings/2022/0179.pdf","source":{"id":"https://openalex.org/S4363608755","display_name":"Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://www.ijcai.org/proceedings/2022/0179.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5081847796","display_name":"Siran Peng","orcid":"https://orcid.org/0000-0002-3983-5596"},"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":true,"raw_author_name":"Siran Peng","raw_affiliation_strings":["University of Electronic Science and Technology of China","University of Electronic Science and Technology of China, Chengdu, 611731"],"affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China","institution_ids":["https://openalex.org/I150229711"]},{"raw_affiliation_string":"University of Electronic Science and Technology of China, Chengdu, 611731","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","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":["University of Electronic Science and Technology of China","University of Electronic Science and Technology of China, Chengdu, 611731"],"affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China","institution_ids":["https://openalex.org/I150229711"]},{"raw_affiliation_string":"University of Electronic Science and Technology of China, Chengdu, 611731","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032964134","display_name":"Jinfan Hu","orcid":"https://orcid.org/0000-0003-3969-0945"},"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":"Jin-Fan Hu","raw_affiliation_strings":["University of Electronic Science and Technology of China","University of Electronic Science and Technology of China, Chengdu, 611731"],"affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China","institution_ids":["https://openalex.org/I150229711"]},{"raw_affiliation_string":"University of Electronic Science and Technology of China, Chengdu, 611731","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5074609192","display_name":"Yu-Wei Zhuo","orcid":null},"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":"Yuwei Zhuo","raw_affiliation_strings":["University of Electronic Science and Technology of China","University of Electronic Science and Technology of China, Chengdu, 611731"],"affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China","institution_ids":["https://openalex.org/I150229711"]},{"raw_affiliation_string":"University of Electronic Science and Technology of China, Chengdu, 611731","institution_ids":["https://openalex.org/I150229711"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5081847796"],"corresponding_institution_ids":["https://openalex.org/I150229711"],"apc_list":null,"apc_paid":null,"fwci":7.1343,"has_fulltext":false,"cited_by_count":34,"citation_normalized_percentile":{"value":0.98236659,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"1283","last_page":"1289"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9997000098228455,"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":0.9997000098228455,"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":0.9965000152587891,"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/T12157","display_name":"Geochemistry and Geologic Mapping","score":0.9714999794960022,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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":0.8679304122924805},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7682090401649475},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.7681522965431213},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6589993238449097},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5876561403274536},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.5815402865409851},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.5732932686805725},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.5518409609794617},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5424535870552063},{"id":"https://openalex.org/keywords/multispectral-image","display_name":"Multispectral image","score":0.5312556624412537},{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.48294609785079956},{"id":"https://openalex.org/keywords/source-code","display_name":"Source code","score":0.46145308017730713},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3336789608001709},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1145828366279602}],"concepts":[{"id":"https://openalex.org/C107445234","wikidata":"https://www.wikidata.org/wiki/Q280995","display_name":"Panchromatic film","level":3,"score":0.8679304122924805},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7682090401649475},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.7681522965431213},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6589993238449097},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5876561403274536},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5815402865409851},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.5732932686805725},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.5518409609794617},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5424535870552063},{"id":"https://openalex.org/C173163844","wikidata":"https://www.wikidata.org/wiki/Q1761440","display_name":"Multispectral image","level":2,"score":0.5312556624412537},{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.48294609785079956},{"id":"https://openalex.org/C43126263","wikidata":"https://www.wikidata.org/wiki/Q128751","display_name":"Source code","level":2,"score":0.46145308017730713},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3336789608001709},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1145828366279602},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.24963/ijcai.2022/179","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2022/179","pdf_url":"https://www.ijcai.org/proceedings/2022/0179.pdf","source":{"id":"https://openalex.org/S4363608755","display_name":"Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.24963/ijcai.2022/179","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2022/179","pdf_url":"https://www.ijcai.org/proceedings/2022/0179.pdf","source":{"id":"https://openalex.org/S4363608755","display_name":"Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.7599999904632568,"display_name":"Reduced inequalities"}],"awards":[{"id":"https://openalex.org/G1628077028","display_name":null,"funder_award_id":"2020YFA0714001","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G1993057369","display_name":null,"funder_award_id":"61702083","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2549969225","display_name":null,"funder_award_id":"1217107","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2702356746","display_name":null,"funder_award_id":"61702","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3778334585","display_name":null,"funder_award_id":"12171072","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7886604513","display_name":null,"funder_award_id":"2020YFA0714001","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8330053271","display_name":null,"funder_award_id":"61876203","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/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4285601348.pdf","grobid_xml":"https://content.openalex.org/works/W4285601348.grobid-xml"},"referenced_works_count":21,"referenced_works":["https://openalex.org/W1980110630","https://openalex.org/W1991460509","https://openalex.org/W2001800591","https://openalex.org/W2064366277","https://openalex.org/W2100329651","https://openalex.org/W2159269332","https://openalex.org/W2171211028","https://openalex.org/W2171845746","https://openalex.org/W2172185514","https://openalex.org/W2462592242","https://openalex.org/W2528170672","https://openalex.org/W2777033955","https://openalex.org/W2806865914","https://openalex.org/W2895230054","https://openalex.org/W2921660688","https://openalex.org/W2953133772","https://openalex.org/W2963007295","https://openalex.org/W2963870605","https://openalex.org/W3029812440","https://openalex.org/W3096904276","https://openalex.org/W3181848549"],"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/W4285005667","https://openalex.org/W2022261651","https://openalex.org/W2950729865","https://openalex.org/W2565514930"],"abstract_inverted_index":{"For":[0],"the":[1,25,46,88,122,131,137,148],"pansharpening":[2,47,113],"problem,":[3,142],"previous":[4],"convolutional":[5],"neural":[6],"networks":[7],"(CNNs)":[8],"mainly":[9],"concatenate":[10],"high-resolution":[11],"panchromatic":[12],"(PAN)":[13],"images":[14,19,58,69],"and":[15,63,85,118],"low-resolution":[16],"multispectral":[17],"(LR-MS)":[18],"in":[20,92,100,115,121],"their":[21],"architectures,":[22],"which":[23],"ignores":[24],"distinctive":[26],"attributes":[27],"of":[28,52,150],"different":[29,98],"sources.":[30],"In":[31],"this":[32],"paper,":[33],"we":[34],"propose":[35],"a":[36,93],"convolution":[37],"network":[38,128,133],"with":[39,125],"source-adaptive":[40],"discriminative":[41],"kernels,":[42],"called":[43],"ADKNet,":[44],"for":[45],"task.":[48],"Those":[49],"kernels":[50,54,65,89],"consist":[51],"spatial":[53,61],"generated":[55,66],"from":[56,67],"PAN":[57],"containing":[59,70],"rich":[60],"details":[62],"spectral":[64,72],"LR-MS":[68],"abundant":[71],"information.":[73],"The":[74,153],"kernel":[75],"generating":[76],"process":[77],"is":[78,134,155],"specially":[79],"designed":[80],"to":[81,96,136],"extract":[82],"information":[83,99],"discriminately":[84],"effectively.":[86],"Furthermore,":[87],"are":[90],"learned":[91],"pixel-by-pixel":[94],"manner":[95],"characterize":[97],"distinct":[101],"areas.":[102],"Extensive":[103],"experimental":[104],"results":[105],"indicate":[106],"that":[107],"ADKNet":[108],"outperforms":[109],"current":[110],"state-of-the-art":[111],"(SOTA)":[112],"methods":[114],"both":[116],"quantitative":[117],"qualitative":[119],"assessments,":[120],"meanwhile":[123],"only":[124],"about":[126],"60,000":[127],"parameters.":[129],"Also,":[130],"proposed":[132],"extended":[135],"hyperspectral":[138],"image":[139],"super-resolution":[140],"(HSISR)":[141],"still":[143],"yields":[144],"SOTA":[145],"performance,":[146],"proving":[147],"universality":[149],"our":[151],"model.":[152],"code":[154],"available":[156],"at":[157],"http://github.com/liangjiandeng/ADKNet.":[158]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":10},{"year":2024,"cited_by_count":11},{"year":2023,"cited_by_count":9}],"updated_date":"2026-04-21T08:09:41.155169","created_date":"2025-10-10T00:00:00"}