{"id":"https://openalex.org/W4391929952","doi":"https://doi.org/10.1109/whispers61460.2023.10430942","title":"GAN-based Hyperspectral Classification with Spectral Prior","display_name":"GAN-based Hyperspectral Classification with Spectral Prior","publication_year":2023,"publication_date":"2023-10-31","ids":{"openalex":"https://openalex.org/W4391929952","doi":"https://doi.org/10.1109/whispers61460.2023.10430942"},"language":"en","primary_location":{"id":"doi:10.1109/whispers61460.2023.10430942","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/whispers61460.2023.10430942","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":"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/A5101884673","display_name":"Zhou Fang","orcid":"https://orcid.org/0000-0001-7006-7006"},"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":"Zhou Fang","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"],"raw_orcid":null,"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":"middle","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"],"raw_orcid":null,"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/A5109683964","display_name":"Wenrui Liang","orcid":null},"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":"Wenrui Liang","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"],"raw_orcid":null,"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":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I90610280"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9998999834060669,"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9998999834060669,"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/T13890","display_name":"Remote Sensing and Land Use","score":0.996399998664856,"subfield":{"id":"https://openalex.org/subfields/1902","display_name":"Atmospheric Science"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9793999791145325,"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":0.9342902898788452},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6053345799446106},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.5134609341621399},{"id":"https://openalex.org/keywords/full-spectral-imaging","display_name":"Full spectral imaging","score":0.4854355454444885},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4325752556324005},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.38060203194618225},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.3278263211250305},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.22844865918159485}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.9342902898788452},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6053345799446106},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.5134609341621399},{"id":"https://openalex.org/C78660771","wikidata":"https://www.wikidata.org/wiki/Q5508206","display_name":"Full spectral imaging","level":3,"score":0.4854355454444885},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4325752556324005},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.38060203194618225},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.3278263211250305},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.22844865918159485}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/whispers61460.2023.10430942","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/whispers61460.2023.10430942","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/W1521436688","https://openalex.org/W2089372326","https://openalex.org/W2500751094","https://openalex.org/W2767805377","https://openalex.org/W2777427437","https://openalex.org/W2889985731","https://openalex.org/W2984594155","https://openalex.org/W3009297390","https://openalex.org/W3099319035","https://openalex.org/W4376456890"],"related_works":["https://openalex.org/W2385371209","https://openalex.org/W2911259277","https://openalex.org/W2800956885","https://openalex.org/W4250051149","https://openalex.org/W2533019003","https://openalex.org/W2083270190","https://openalex.org/W1788560349","https://openalex.org/W2626158795","https://openalex.org/W2078656815","https://openalex.org/W2391021239"],"abstract_inverted_index":{"Hyperspectral":[0],"image":[1],"(HSI)":[2],"classification":[3,38,117],"refers":[4],"to":[5,11,83,91],"assigning":[6],"the":[7,43,84,106,109],"correct":[8],"category":[9,59],"label":[10],"each":[12],"pixel":[13],"in":[14,22,52,57,114],"an":[15,19],"HSI,":[16],"which":[17,54,81],"plays":[18],"important":[20],"role":[21],"many":[23],"military":[24],"and":[25,97,108],"civilian":[26],"fields.":[27],"Existing":[28],"methods":[29],"based":[30],"on":[31],"generative":[32],"adversarial":[33],"network":[34],"(GAN)":[35],"for":[36,78],"HSI":[37,79],"do":[39],"not":[40],"directly":[41],"exploit":[42],"spectral":[44,63,74,86],"prior":[45,75,87,100],"information":[46],"with":[47,73,99],"unique":[48],"class":[49],"characteristics":[50],"contained":[51],"HSIs,":[53],"consequently":[55],"results":[56,103],"weak":[58],"attributes":[60],"of":[61,94,112,116],"synthesized":[62],"samples.":[64],"To":[65],"solve":[66],"this":[67],"problem,":[68],"we":[69],"propose":[70],"a":[71],"GAN":[72],"model":[76],"(SPGAN)":[77],"classification,":[80],"resorts":[82],"shared":[85],"response":[88],"block":[89],"(SPRB)":[90],"meet":[92],"demands":[93],"both":[95],"generation":[96],"discrimination":[98],"knowledge.":[101],"Experimental":[102],"have":[104],"proven":[105],"effectiveness":[107],"superior":[110],"performance":[111],"SPGAN":[113],"terms":[115],"accuracy":[118],"metrics.":[119]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
