{"id":"https://openalex.org/W4391929856","doi":"https://doi.org/10.1109/whispers61460.2023.10430575","title":"Asymmetric-Scale Arbitrary Resolution Pansharpening CNN for Hyperspectral Images","display_name":"Asymmetric-Scale Arbitrary Resolution Pansharpening CNN for Hyperspectral Images","publication_year":2023,"publication_date":"2023-10-31","ids":{"openalex":"https://openalex.org/W4391929856","doi":"https://doi.org/10.1109/whispers61460.2023.10430575"},"language":"en","primary_location":{"id":"doi:10.1109/whispers61460.2023.10430575","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/whispers61460.2023.10430575","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 13th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing (WHISPERS)","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/A5106483192","display_name":"Hanghui Ye","orcid":"https://orcid.org/0009-0007-5891-1754"},"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":"Hanghui Ye","raw_affiliation_strings":["South China University of Technology,School of Automation Science and Engineering,China","School of Automation Science and Engineering, South China University of Technology, China"],"affiliations":[{"raw_affiliation_string":"South China University of Technology,School of Automation Science and Engineering,China","institution_ids":["https://openalex.org/I90610280"]},{"raw_affiliation_string":"School of Automation Science and Engineering, South China University of Technology, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"last","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":false,"raw_author_name":"Lin He","raw_affiliation_strings":["South China University of Technology,School of Automation Science and Engineering,China","School of Automation Science and Engineering, South China University of Technology, China"],"affiliations":[{"raw_affiliation_string":"South China University of Technology,School of Automation Science and Engineering,China","institution_ids":["https://openalex.org/I90610280"]},{"raw_affiliation_string":"School of Automation Science and Engineering, South China University of Technology, China","institution_ids":["https://openalex.org/I90610280"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5106483192"],"corresponding_institution_ids":["https://openalex.org/I90610280"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.29471624,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9984999895095825,"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":0.9973999857902527,"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/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.8873635530471802},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6835900545120239},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.6132460236549377},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.5712894797325134},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5664876699447632},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.5263563394546509},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5182251930236816},{"id":"https://openalex.org/keywords/resolution","display_name":"Resolution (logic)","score":0.5176590085029602},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3679646849632263},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.23233428597450256},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.12050259113311768},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.11295467615127563}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.8873635530471802},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6835900545120239},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.6132460236549377},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.5712894797325134},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5664876699447632},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.5263563394546509},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5182251930236816},{"id":"https://openalex.org/C138268822","wikidata":"https://www.wikidata.org/wiki/Q1051925","display_name":"Resolution (logic)","level":2,"score":0.5176590085029602},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3679646849632263},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.23233428597450256},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.12050259113311768},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.11295467615127563}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/whispers61460.2023.10430575","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/whispers61460.2023.10430575","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 13th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing (WHISPERS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W1990231296","https://openalex.org/W2054440797","https://openalex.org/W2163887005","https://openalex.org/W2948669395","https://openalex.org/W2953478519","https://openalex.org/W2963442801","https://openalex.org/W2980358775","https://openalex.org/W3019893222","https://openalex.org/W4206727312","https://openalex.org/W4285031532"],"related_works":["https://openalex.org/W2385371209","https://openalex.org/W4250051149","https://openalex.org/W2083270190","https://openalex.org/W2317401237","https://openalex.org/W1990800631","https://openalex.org/W2167120702","https://openalex.org/W2579567122","https://openalex.org/W2139939267","https://openalex.org/W2362774332","https://openalex.org/W1974511032"],"abstract_inverted_index":{"Hyperspectral":[0],"(HS)":[1],"pansharpening":[2,36,49,69],"seeks":[3],"to":[4,17,91],"fuse":[5],"low":[6],"spatial":[7,20,44],"resolution":[8,21,26,68],"HS":[9,22,27,35,40,81,99],"(LRHS)":[10],"images":[11,16,41,82],"with":[12,42,83],"corresponding":[13],"panchromatic":[14],"(PAN)":[15],"obtain":[18],"high":[19],"(HRHS)":[23],"images.":[24],"Arbitrary":[25],"(ARHS)":[28],"pansharpening,":[29],"as":[30],"an":[31,65,87],"evolution":[32],"of":[33,57,104],"traditional":[34],"technique,":[37],"can":[38,79],"generate":[39],"arbitrary":[43,67],"resolutions.":[45],"However,":[46],"existing":[47],"ARHS":[48],"methods":[50],"are":[51],"not":[52],"concerned":[53],"about":[54],"the":[55,102],"situation":[56],"asymmetric":[58,84],"scales.":[59],"In":[60],"this":[61],"work,":[62],"we":[63],"propose":[64],"asymmetric-scale":[66],"convolution":[70],"neural":[71],"network":[72],"(CNN),":[73],"called":[74],"ASAR-PNN":[75],"for":[76],"brevity,":[77],"which":[78],"produce":[80],"scales":[85],"in":[86],"adaptive":[88],"way":[89],"according":[90],"scale":[92],"factors.":[93],"Experiment":[94],"results":[95],"on":[96],"a":[97],"simulated":[98],"dataset":[100],"suggest":[101],"superiority":[103],"our":[105],"proposed":[106],"method.":[107]},"counts_by_year":[],"updated_date":"2025-12-21T23:12:01.093139","created_date":"2025-10-10T00:00:00"}
