{"id":"https://openalex.org/W4391924487","doi":"https://doi.org/10.1109/whispers61460.2023.10431191","title":"Spectral Unmixing in Generative Space: 3D-GAN Based Approach","display_name":"Spectral Unmixing in Generative Space: 3D-GAN Based Approach","publication_year":2023,"publication_date":"2023-10-31","ids":{"openalex":"https://openalex.org/W4391924487","doi":"https://doi.org/10.1109/whispers61460.2023.10431191"},"language":"en","primary_location":{"id":"doi:10.1109/whispers61460.2023.10431191","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/whispers61460.2023.10431191","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/A5100589021","display_name":"Soorya Suresh","orcid":null},"institutions":[{"id":"https://openalex.org/I4387155292","display_name":"Indian Institute of Information Technology Sri City","ror":"https://ror.org/026873d40","country_code":null,"type":"education","lineage":["https://openalex.org/I4387155292"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Soorya Suresh","raw_affiliation_strings":["Indian Institute of Information Technology Sri City"],"affiliations":[{"raw_affiliation_string":"Indian Institute of Information Technology Sri City","institution_ids":["https://openalex.org/I4387155292"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101882374","display_name":"P. V. Arun","orcid":null},"institutions":[{"id":"https://openalex.org/I4387155292","display_name":"Indian Institute of Information Technology Sri City","ror":"https://ror.org/026873d40","country_code":null,"type":"education","lineage":["https://openalex.org/I4387155292"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Arun P V","raw_affiliation_strings":["Indian Institute of Information Technology Sri City"],"affiliations":[{"raw_affiliation_string":"Indian Institute of Information Technology Sri City","institution_ids":["https://openalex.org/I4387155292"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5011288887","display_name":"Alok Porwal","orcid":null},"institutions":[{"id":"https://openalex.org/I162827531","display_name":"Indian Institute of Technology Bombay","ror":"https://ror.org/02qyf5152","country_code":"IN","type":"education","lineage":["https://openalex.org/I162827531"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Alok Porwal","raw_affiliation_strings":["Indian Institute of Technology Bombay"],"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology Bombay","institution_ids":["https://openalex.org/I162827531"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100589021"],"corresponding_institution_ids":["https://openalex.org/I4387155292"],"apc_list":null,"apc_paid":null,"fwci":0.3168,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.64882463,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9957000017166138,"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":0.9957000017166138,"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":0.979200005531311,"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/T10057","display_name":"Face and Expression Recognition","score":0.9420999884605408,"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":0.6266301274299622},{"id":"https://openalex.org/keywords/space","display_name":"Space (punctuation)","score":0.5634738802909851},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.46643614768981934},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4559831917285919},{"id":"https://openalex.org/keywords/spectral-space","display_name":"Spectral space","score":0.43185582756996155},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.40513497591018677},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.15859094262123108}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6266301274299622},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.5634738802909851},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.46643614768981934},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4559831917285919},{"id":"https://openalex.org/C2778740170","wikidata":"https://www.wikidata.org/wiki/Q7575210","display_name":"Spectral space","level":2,"score":0.43185582756996155},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.40513497591018677},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15859094262123108},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","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:10.1109/whispers61460.2023.10431191","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/whispers61460.2023.10431191","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":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W2763673051","https://openalex.org/W2791006446","https://openalex.org/W2963684088","https://openalex.org/W3161263451","https://openalex.org/W4320013936","https://openalex.org/W4366774117","https://openalex.org/W6804424653"],"related_works":["https://openalex.org/W2772917594","https://openalex.org/W2036807459","https://openalex.org/W2058170566","https://openalex.org/W2755342338","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2951359407","https://openalex.org/W2079911747","https://openalex.org/W1969923398"],"abstract_inverted_index":{"Spectral":[0],"unmixing":[1,35],"in":[2,154,164],"planetary":[3],"data":[4],"encounters":[5],"challenges":[6],"like":[7],"noise,":[8],"limited":[9,93],"samples,":[10],"and":[11,26,44,69,79,102],"high":[12],"dimensionality,":[13],"affecting":[14],"its":[15],"efficacy.":[16],"Deep":[17],"learning":[18],"methods,":[19],"while":[20],"highly":[21],"performant,":[22],"often":[23],"lack":[24],"interpretability":[25],"generalizability.":[27],"In":[28,71],"this":[29,122],"study,":[30],"we":[31,115],"comprehensively":[32],"evaluate":[33],"spectral":[34,100,159],"techniques,":[36],"considering":[37],"accuracy,":[38],"efficiency,":[39],"interpretability,":[40],"generalizability,":[41],"noise":[42],"robustness,":[43],"sample":[45],"requirements.":[46],"Our":[47,148],"primary":[48],"focus":[49],"is":[50],"on":[51],"Generative":[52],"Adversarial":[53],"Networks":[54],"(GANs),":[55],"specifically":[56],"comparing":[57],"the":[58,130,137],"nonlinear":[59,167],"Polynomial":[60],"Post-Nonlinear":[61],"Mixing":[62],"Model":[63],"(PPNM)":[64],"with":[65,92],"our":[66,72],"proposed":[67],"1D-GAN":[68,98],"3D-GAN.":[70],"GAN":[73,149,162],"approach,":[74],"one":[75],"CNN":[76],"discriminates":[77],"inputs,":[78],"another":[80],"generates":[81],"fake":[82],"inputs.":[83],"They":[84],"train":[85],"adversarially,":[86],"enhancing":[87],"discriminative":[88],"CNN\u2019s":[89],"generalization,":[90],"crucial":[91],"samples.":[94],"We":[95,120],"propose":[96],"a":[97,103],"for":[99,106,113,157],"classification":[101],"robust":[104],"3D-GAN":[105],"spectral-spatial":[107],"tasks.":[108],"Using":[109],"generated":[110],"adversarial":[111],"samples":[112],"fine-tuning,":[114],"improve":[116],"endmember":[117],"abundance":[118],"accuracy.":[119],"apply":[121],"method":[123],"to":[124],"hyperspectral":[125],"image":[126],"(HSI)":[127],"obtained":[128],"from":[129],"Imaging":[131],"Infrared":[132],"Spectrometer":[133],"(IIRS)":[134],"sensor":[135],"onboard":[136],"Indian":[138],"Space":[139],"Research":[140],"Organisation\u2019s":[141],"(ISRO)":[142],"Chandrayaan-2":[143],"mission":[144],"yielding":[145],"competitive":[146],"results.":[147],"approach":[150],"opens":[151],"new":[152],"opportunities":[153],"remote":[155],"sensing":[156],"challenging":[158],"unmixing,":[160],"revealing":[161],"potential":[163],"analyzing":[165],"complex,":[166],"data.":[168]},"counts_by_year":[{"year":2026,"cited_by_count":2}],"updated_date":"2026-04-02T15:55:50.835912","created_date":"2025-10-10T00:00:00"}