{"id":"https://openalex.org/W3103998319","doi":"https://doi.org/10.1109/iciis51140.2020.9342727","title":"Convolutional Autoencoder for Blind Hyperspectral Image Unmixing","display_name":"Convolutional Autoencoder for Blind Hyperspectral Image Unmixing","publication_year":2020,"publication_date":"2020-11-26","ids":{"openalex":"https://openalex.org/W3103998319","doi":"https://doi.org/10.1109/iciis51140.2020.9342727","mag":"3103998319"},"language":"en","primary_location":{"id":"doi:10.1109/iciis51140.2020.9342727","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iciis51140.2020.9342727","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE 15th International Conference on Industrial and Information Systems (ICIIS)","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2011.09420","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5082692681","display_name":"Yasiru Ranasinghe","orcid":null},"institutions":[{"id":"https://openalex.org/I4387152933","display_name":"Sri Lanka Technological Campus","ror":"https://ror.org/02d4te065","country_code":null,"type":"education","lineage":["https://openalex.org/I4387152933"]},{"id":"https://openalex.org/I192365124","display_name":"Sri Lanka Institute of Information Technology","ror":"https://ror.org/00fhk4582","country_code":"LK","type":"education","lineage":["https://openalex.org/I192365124"]}],"countries":["LK"],"is_corresponding":true,"raw_author_name":"Yasiru Ranasinghe","raw_affiliation_strings":["School of Engineering, Sri Lanka Technological Campus, Padukka, Sri Lanka","Sri Lanka Technological Campus,School of Engineering,Padukka,Sri Lanka,10500"],"affiliations":[{"raw_affiliation_string":"School of Engineering, Sri Lanka Technological Campus, Padukka, Sri Lanka","institution_ids":["https://openalex.org/I192365124","https://openalex.org/I4387152933"]},{"raw_affiliation_string":"Sri Lanka Technological Campus,School of Engineering,Padukka,Sri Lanka,10500","institution_ids":["https://openalex.org/I192365124","https://openalex.org/I4387152933"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086042506","display_name":"Sanjaya Herath","orcid":"https://orcid.org/0000-0003-3770-6819"},"institutions":[{"id":"https://openalex.org/I111199411","display_name":"University of Peradeniya","ror":"https://ror.org/025h79t26","country_code":"LK","type":"education","lineage":["https://openalex.org/I111199411"]}],"countries":["LK"],"is_corresponding":false,"raw_author_name":"Sanjaya Herath","raw_affiliation_strings":["Department of Electrical and Electronic Engineering, University of Peradeniya, Peradeniya, Sri Lanka","University of  Peradeniya"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Electronic Engineering, University of Peradeniya, Peradeniya, Sri Lanka","institution_ids":["https://openalex.org/I111199411"]},{"raw_affiliation_string":"University of  Peradeniya","institution_ids":["https://openalex.org/I111199411"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055216590","display_name":"H.M.H.K. Weerasooriya","orcid":"https://orcid.org/0000-0002-0143-9547"},"institutions":[{"id":"https://openalex.org/I111199411","display_name":"University of Peradeniya","ror":"https://ror.org/025h79t26","country_code":"LK","type":"education","lineage":["https://openalex.org/I111199411"]}],"countries":["LK"],"is_corresponding":false,"raw_author_name":"Kavinga Weerasooriya","raw_affiliation_strings":["Department of Electrical and Electronic Engineering, University of Peradeniya, Peradeniya, Sri Lanka","University of  Peradeniya"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Electronic Engineering, University of Peradeniya, Peradeniya, Sri Lanka","institution_ids":["https://openalex.org/I111199411"]},{"raw_affiliation_string":"University of  Peradeniya","institution_ids":["https://openalex.org/I111199411"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102616232","display_name":"Mevan Ekanayake","orcid":null},"institutions":[{"id":"https://openalex.org/I4387152933","display_name":"Sri Lanka Technological Campus","ror":"https://ror.org/02d4te065","country_code":null,"type":"education","lineage":["https://openalex.org/I4387152933"]}],"countries":["LK"],"is_corresponding":false,"raw_author_name":"Mevan Ekanayake","raw_affiliation_strings":["Office of Research and Innovation Services, Sri Lanka Technological Campus, Padukka, Sri Lanka","Sri Lanka Technological Campus,Office of Research and Innovation Services,Padukka,Sri Lanka,10500"],"affiliations":[{"raw_affiliation_string":"Office of Research and Innovation Services, Sri Lanka Technological Campus, Padukka, Sri Lanka","institution_ids":["https://openalex.org/I4387152933"]},{"raw_affiliation_string":"Sri Lanka Technological Campus,Office of Research and Innovation Services,Padukka,Sri Lanka,10500","institution_ids":["https://openalex.org/I4387152933"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088546755","display_name":"Roshan Godaliyadda","orcid":"https://orcid.org/0000-0002-3495-481X"},"institutions":[{"id":"https://openalex.org/I111199411","display_name":"University of Peradeniya","ror":"https://ror.org/025h79t26","country_code":"LK","type":"education","lineage":["https://openalex.org/I111199411"]}],"countries":["LK"],"is_corresponding":false,"raw_author_name":"Roshan Godaliyadda","raw_affiliation_strings":["Department of Electrical and Electronic Engineering, University of Peradeniya, Peradeniya, Sri Lanka","University of  Peradeniya"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Electronic Engineering, University of Peradeniya, Peradeniya, Sri Lanka","institution_ids":["https://openalex.org/I111199411"]},{"raw_affiliation_string":"University of  Peradeniya","institution_ids":["https://openalex.org/I111199411"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050489293","display_name":"Parakrama Ekanayake","orcid":null},"institutions":[{"id":"https://openalex.org/I111199411","display_name":"University of Peradeniya","ror":"https://ror.org/025h79t26","country_code":"LK","type":"education","lineage":["https://openalex.org/I111199411"]}],"countries":["LK"],"is_corresponding":false,"raw_author_name":"Parakrama Ekanayake","raw_affiliation_strings":["Department of Electrical and Electronic Engineering, University of Peradeniya, Peradeniya, Sri Lanka","University of  Peradeniya"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Electronic Engineering, University of Peradeniya, Peradeniya, Sri Lanka","institution_ids":["https://openalex.org/I111199411"]},{"raw_affiliation_string":"University of  Peradeniya","institution_ids":["https://openalex.org/I111199411"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5022267671","display_name":"Vijitha Herath","orcid":"https://orcid.org/0000-0002-2094-0716"},"institutions":[{"id":"https://openalex.org/I111199411","display_name":"University of Peradeniya","ror":"https://ror.org/025h79t26","country_code":"LK","type":"education","lineage":["https://openalex.org/I111199411"]}],"countries":["LK"],"is_corresponding":false,"raw_author_name":"Vijitha Herath","raw_affiliation_strings":["Department of Electrical and Electronic Engineering, University of Peradeniya, Peradeniya, Sri Lanka","University of  Peradeniya"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Electronic Engineering, University of Peradeniya, Peradeniya, Sri Lanka","institution_ids":["https://openalex.org/I111199411"]},{"raw_affiliation_string":"University of  Peradeniya","institution_ids":["https://openalex.org/I111199411"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5082692681"],"corresponding_institution_ids":["https://openalex.org/I4387152933","https://openalex.org/I192365124"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.27788119,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"174","last_page":"179"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","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/T10689","display_name":"Remote-Sensing Image Classification","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/T13890","display_name":"Remote Sensing and Land Use","score":0.9972000122070312,"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":0.9962000250816345,"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/endmember","display_name":"Endmember","score":0.9294116497039795},{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.8609912395477295},{"id":"https://openalex.org/keywords/autoencoder","display_name":"Autoencoder","score":0.7484170794487},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.685870349407196},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6388737559318542},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6110565066337585},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.5429153442382812},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5100053548812866},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.485198050737381},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.46382251381874084},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.42486634850502014},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.41136741638183594},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3860163986682892},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.27116915583610535},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.12929657101631165}],"concepts":[{"id":"https://openalex.org/C58237817","wikidata":"https://www.wikidata.org/wiki/Q5376204","display_name":"Endmember","level":3,"score":0.9294116497039795},{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.8609912395477295},{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.7484170794487},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.685870349407196},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6388737559318542},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6110565066337585},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5429153442382812},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5100053548812866},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.485198050737381},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.46382251381874084},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.42486634850502014},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.41136741638183594},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3860163986682892},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.27116915583610535},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.12929657101631165},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","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},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/iciis51140.2020.9342727","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iciis51140.2020.9342727","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE 15th International Conference on Industrial and Information Systems (ICIIS)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2011.09420","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2011.09420","pdf_url":"https://arxiv.org/pdf/2011.09420","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":null},{"id":"mag:3103998319","is_oa":true,"landing_page_url":"https://arxiv.org/pdf/2011.09420","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null},{"id":"doi:10.48550/arxiv.2011.09420","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2011.09420","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2011.09420","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2011.09420","pdf_url":"https://arxiv.org/pdf/2011.09420","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":null},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3103998319.pdf","grobid_xml":"https://content.openalex.org/works/W3103998319.grobid-xml"},"referenced_works_count":21,"referenced_works":["https://openalex.org/W1665214252","https://openalex.org/W1902016676","https://openalex.org/W1963659868","https://openalex.org/W1991480333","https://openalex.org/W2095705004","https://openalex.org/W2108119513","https://openalex.org/W2141494774","https://openalex.org/W2157321686","https://openalex.org/W2162888866","https://openalex.org/W2792897399","https://openalex.org/W2811386660","https://openalex.org/W2886042776","https://openalex.org/W2911419410","https://openalex.org/W2953961450","https://openalex.org/W2974693044","https://openalex.org/W2991616716","https://openalex.org/W3008182400","https://openalex.org/W3012328093","https://openalex.org/W3015208655","https://openalex.org/W6774020573","https://openalex.org/W6774866699"],"related_works":["https://openalex.org/W3127576502","https://openalex.org/W3014884378","https://openalex.org/W3088802305","https://openalex.org/W3028000844","https://openalex.org/W3205267965","https://openalex.org/W3211698988","https://openalex.org/W2765455392","https://openalex.org/W2994054717","https://openalex.org/W2911419410","https://openalex.org/W2985926249","https://openalex.org/W2998394745","https://openalex.org/W3151666947","https://openalex.org/W2383908135","https://openalex.org/W2966166905","https://openalex.org/W2919598267","https://openalex.org/W2902067790","https://openalex.org/W2886042776","https://openalex.org/W3129266902","https://openalex.org/W2975890842","https://openalex.org/W3070339671"],"abstract_inverted_index":{"In":[0,22],"the":[1,51,68,71,75,81,84,101,123],"remote":[2],"sensing":[3],"context":[4],"spectral":[5],"unmixing":[6,33,106],"is":[7,28,79,90],"a":[8,12,25,59],"technique":[9],"to":[10,30,58],"decompose":[11],"mixed":[13],"pixel":[14],"into":[15],"two":[16],"fundamental":[17],"representatives:":[18],"endmembers":[19],"and":[20,86,111,120],"abundances.":[21],"this":[23],"paper,":[24],"novel":[26],"architecture":[27,39],"proposed":[29,38,102],"perform":[31],"blind":[32],"on":[34,95],"hyperspectral":[35,97],"images.":[36],"The":[37,48],"consists":[40],"of":[41,74,83],"convolutional":[42,56],"layers":[43,57],"followed":[44],"by":[45],"an":[46],"autoencoder.":[47],"encoder":[49],"transforms":[50],"feature":[52],"space":[53,61],"produced":[54],"through":[55],"latent":[60,66],"representation.":[62],"Then,":[63],"from":[64],"these":[65],"characteristics":[67],"decoder":[69],"reconstructs":[70],"roll-out":[72],"image":[73,77,89],"monochrome":[76],"which":[78],"at":[80,108],"input":[82],"architecture;":[85],"each":[87],"single-band":[88],"fed":[91],"sequentially.":[92],"Experimental":[93],"results":[94,114],"real":[96],"data":[98],"concludes":[99],"that":[100],"algorithm":[103],"outperforms":[104],"existing":[105],"methods":[107],"abundance":[109],"estimation":[110],"generates":[112],"competitive":[113],"for":[115],"endmember":[116],"extraction":[117],"with":[118],"RMSE":[119],"SAD":[121],"as":[122],"metrics,":[124],"respectively.":[125]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}