{"id":"https://openalex.org/W4387828843","doi":"https://doi.org/10.1109/igarss52108.2023.10281673","title":"Mutual Channels Loss and Channel-Wise Attention Aided Convolutional Autoencoder for Hyperspectral Image Unmixing","display_name":"Mutual Channels Loss and Channel-Wise Attention Aided Convolutional Autoencoder for Hyperspectral Image Unmixing","publication_year":2023,"publication_date":"2023-07-16","ids":{"openalex":"https://openalex.org/W4387828843","doi":"https://doi.org/10.1109/igarss52108.2023.10281673"},"language":"en","primary_location":{"id":"doi:10.1109/igarss52108.2023.10281673","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/igarss52108.2023.10281673","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium","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/A5037394989","display_name":"Nithish Reddy Banda","orcid":"https://orcid.org/0009-0003-6879-4636"},"institutions":[{"id":"https://openalex.org/I26072440","display_name":"Indian Institute of Information Technology Allahabad","ror":"https://ror.org/03rgjt374","country_code":"IN","type":"education","lineage":["https://openalex.org/I26072440"]},{"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"]},{"id":"https://openalex.org/I64189192","display_name":"International Institute of Information Technology, Hyderabad","ror":"https://ror.org/05f11g639","country_code":"IN","type":"education","lineage":["https://openalex.org/I64189192"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Nithish Reddy Banda","raw_affiliation_strings":["Indian Institute of Information Technology,Sri City,Andhra Pradesh,India,517646"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Indian Institute of Information Technology,Sri City,Andhra Pradesh,India,517646","institution_ids":["https://openalex.org/I26072440","https://openalex.org/I4387155292","https://openalex.org/I64189192"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053036981","display_name":"Mrinmoy Ghorai","orcid":"https://orcid.org/0000-0003-1694-9299"},"institutions":[{"id":"https://openalex.org/I26072440","display_name":"Indian Institute of Information Technology Allahabad","ror":"https://ror.org/03rgjt374","country_code":"IN","type":"education","lineage":["https://openalex.org/I26072440"]},{"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"]},{"id":"https://openalex.org/I64189192","display_name":"International Institute of Information Technology, Hyderabad","ror":"https://ror.org/05f11g639","country_code":"IN","type":"education","lineage":["https://openalex.org/I64189192"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Mrinmoy Ghorai","raw_affiliation_strings":["Indian Institute of Information Technology,Sri City,Andhra Pradesh,India,517646"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Indian Institute of Information Technology,Sri City,Andhra Pradesh,India,517646","institution_ids":["https://openalex.org/I26072440","https://openalex.org/I4387155292","https://openalex.org/I64189192"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5087427076","display_name":"Swalpa Kumar Roy","orcid":"https://orcid.org/0000-0002-6580-3977"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Swalpa Kumar Roy","raw_affiliation_strings":["Jalpaiguri Government Engineering College,Jalpaiguri,West Bengal,India,75102"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Jalpaiguri Government Engineering College,Jalpaiguri,West Bengal,India,75102","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"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":"7408","last_page":"7411"},"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9975000023841858,"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/T10111","display_name":"Remote Sensing in Agriculture","score":0.9936000108718872,"subfield":{"id":"https://openalex.org/subfields/2303","display_name":"Ecology"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.9667229056358337},{"id":"https://openalex.org/keywords/autoencoder","display_name":"Autoencoder","score":0.8864160776138306},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6993021368980408},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6033582091331482},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5911609530448914},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.5672025680541992},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5338495969772339},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4516892731189728},{"id":"https://openalex.org/keywords/convolutional-code","display_name":"Convolutional code","score":0.4256015121936798},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.37730538845062256},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.32033026218414307},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.3147280812263489},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.11481130123138428},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.08206894993782043},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.06657591462135315},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.05922606587409973}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.9667229056358337},{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.8864160776138306},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6993021368980408},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6033582091331482},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5911609530448914},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.5672025680541992},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5338495969772339},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4516892731189728},{"id":"https://openalex.org/C157899210","wikidata":"https://www.wikidata.org/wiki/Q1395022","display_name":"Convolutional code","level":3,"score":0.4256015121936798},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.37730538845062256},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.32033026218414307},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.3147280812263489},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.11481130123138428},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.08206894993782043},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.06657591462135315},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.05922606587409973}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss52108.2023.10281673","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/igarss52108.2023.10281673","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure","score":0.4399999976158142}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W2127062304","https://openalex.org/W2550553598","https://openalex.org/W2733834276","https://openalex.org/W2768570904","https://openalex.org/W2792897399","https://openalex.org/W2804275394","https://openalex.org/W2884585870","https://openalex.org/W2894115892","https://openalex.org/W2963073395","https://openalex.org/W2963420686","https://openalex.org/W2967530387","https://openalex.org/W3002092414","https://openalex.org/W3008809756","https://openalex.org/W3010416187","https://openalex.org/W3028000844","https://openalex.org/W3127576502","https://openalex.org/W4210555639","https://openalex.org/W6743731764","https://openalex.org/W6746452023"],"related_works":["https://openalex.org/W2669956259","https://openalex.org/W4249005693","https://openalex.org/W4392946183","https://openalex.org/W3088732000","https://openalex.org/W4226493464","https://openalex.org/W4312417841","https://openalex.org/W3133861977","https://openalex.org/W2951211570","https://openalex.org/W3103566983","https://openalex.org/W3167935049"],"abstract_inverted_index":{"Hyperspectral":[0],"imaging":[1],"is":[2],"a":[3,17,27,43,118],"valuable":[4],"tool":[5],"for":[6,20,113],"analyzing":[7],"and":[8,46,65,97],"understanding":[9],"remote":[10,121],"sensing":[11,122],"data.":[12],"Our":[13,82],"research":[14],"paper":[15],"presents":[16],"pioneering":[18],"method":[19],"hyperspectral":[21,67,115],"unmixing":[22,116],"through":[23],"the":[24,33,52,63,71,108],"utilization":[25],"of":[26,73,94,110,120],"convolutional":[28],"autoencoder":[29],"(CAE).":[30],"To":[31],"train":[32],"CAE,":[34],"our":[35,74,86,111],"approach":[36,75,88,112],"incorporates":[37],"mutual":[38],"channels":[39],"loss":[40,44],"(MCL)":[41],"as":[42,100],"function,":[45],"we":[47,56],"implement":[48],"channel-wise":[49],"attention":[50],"within":[51],"CAE":[53],"architecture.":[54],"Furthermore,":[55],"conduct":[57],"experiments":[58],"using":[59],"two":[60],"datasets,":[61,68],"namely":[62],"Samson":[64],"Apex":[66],"to":[69,102],"compare":[70],"outcomes":[72],"against":[76],"those":[77],"achieved":[78],"by":[79],"state-of-the-art":[80],"methods.":[81,104],"findings":[83],"demonstrate":[84],"that":[85],"suggested":[87],"achieves":[89],"significant":[90],"improvements":[91],"in":[92,117],"terms":[93],"accuracy,":[95],"efficiency":[96],"being":[98],"robust":[99],"compared":[101],"existing":[103],"These":[105],"results":[106],"highlight":[107],"potential":[109],"improving":[114],"range":[119],"applications.":[123]},"counts_by_year":[],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}
