{"id":"https://openalex.org/W3010420609","doi":"https://doi.org/10.1109/access.2020.2977454","title":"Hyperspectral Band Selection Using Attention-Based Convolutional Neural Networks","display_name":"Hyperspectral Band Selection Using Attention-Based Convolutional Neural Networks","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3010420609","doi":"https://doi.org/10.1109/access.2020.2977454","mag":"3010420609"},"language":"en","primary_location":{"id":"doi:10.1109/access.2020.2977454","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.2977454","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09019632.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09019632.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5070159096","display_name":"Pablo Ribalta Lorenzo","orcid":"https://orcid.org/0000-0002-3657-8053"},"institutions":[{"id":"https://openalex.org/I119004910","display_name":"Silesian University of Technology","ror":"https://ror.org/02dyjk442","country_code":"PL","type":"education","lineage":["https://openalex.org/I119004910"]}],"countries":["PL"],"is_corresponding":true,"raw_author_name":"Pablo Ribalta Lorenzo","raw_affiliation_strings":["Department of Algorithmics and Software, Silesian University of Technology, Gliwice, Poland"],"affiliations":[{"raw_affiliation_string":"Department of Algorithmics and Software, Silesian University of Technology, Gliwice, Poland","institution_ids":["https://openalex.org/I119004910"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060559828","display_name":"\u0141ukasz Tulczyjew","orcid":"https://orcid.org/0000-0003-0763-0745"},"institutions":[{"id":"https://openalex.org/I119004910","display_name":"Silesian University of Technology","ror":"https://ror.org/02dyjk442","country_code":"PL","type":"education","lineage":["https://openalex.org/I119004910"]}],"countries":["PL"],"is_corresponding":false,"raw_author_name":"Lukasz Tulczyjew","raw_affiliation_strings":["Department of Algorithmics and Software, Silesian University of Technology, Gliwice, Poland","KP Labs, Gliwice, Poland"],"affiliations":[{"raw_affiliation_string":"Department of Algorithmics and Software, Silesian University of Technology, Gliwice, Poland","institution_ids":["https://openalex.org/I119004910"]},{"raw_affiliation_string":"KP Labs, Gliwice, Poland","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007356288","display_name":"Micha\u0142 Marcinkiewicz","orcid":"https://orcid.org/0000-0002-1316-3293"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Michal Marcinkiewicz","raw_affiliation_strings":["KP Labs, Gliwice, Poland"],"affiliations":[{"raw_affiliation_string":"KP Labs, Gliwice, Poland","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5041796575","display_name":"Jakub Nalepa","orcid":"https://orcid.org/0000-0002-4026-1569"},"institutions":[{"id":"https://openalex.org/I119004910","display_name":"Silesian University of Technology","ror":"https://ror.org/02dyjk442","country_code":"PL","type":"education","lineage":["https://openalex.org/I119004910"]}],"countries":["PL"],"is_corresponding":false,"raw_author_name":"Jakub Nalepa","raw_affiliation_strings":["Department of Algorithmics and Software, Silesian University of Technology, Gliwice, Poland"],"affiliations":[{"raw_affiliation_string":"Department of Algorithmics and Software, Silesian University of Technology, Gliwice, Poland","institution_ids":["https://openalex.org/I119004910"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5070159096"],"corresponding_institution_ids":["https://openalex.org/I119004910"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":11.4699,"has_fulltext":true,"cited_by_count":97,"citation_normalized_percentile":{"value":0.98519114,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":"8","issue":null,"first_page":"42384","last_page":"42403"},"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/T12157","display_name":"Geochemistry and Geologic Mapping","score":0.9961000084877014,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.982200026512146,"subfield":{"id":"https://openalex.org/subfields/1602","display_name":"Analytical Chemistry"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.9275943040847778},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8254419565200806},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7466356158256531},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6345961689949036},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6277927756309509},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5702399611473083},{"id":"https://openalex.org/keywords/curse-of-dimensionality","display_name":"Curse of dimensionality","score":0.5511533617973328},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5258674621582031},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.44632360339164734},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.431228369474411},{"id":"https://openalex.org/keywords/earth-observation","display_name":"Earth observation","score":0.4220188558101654},{"id":"https://openalex.org/keywords/spectral-bands","display_name":"Spectral bands","score":0.4217016100883484},{"id":"https://openalex.org/keywords/dimensionality-reduction","display_name":"Dimensionality reduction","score":0.4213588237762451},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4150884747505188},{"id":"https://openalex.org/keywords/remote-sensing-application","display_name":"Remote sensing application","score":0.4125523567199707},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.3530225157737732},{"id":"https://openalex.org/keywords/satellite","display_name":"Satellite","score":0.2200143039226532}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.9275943040847778},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8254419565200806},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7466356158256531},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6345961689949036},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6277927756309509},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5702399611473083},{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.5511533617973328},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5258674621582031},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.44632360339164734},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.431228369474411},{"id":"https://openalex.org/C39399123","wikidata":"https://www.wikidata.org/wiki/Q1348989","display_name":"Earth observation","level":3,"score":0.4220188558101654},{"id":"https://openalex.org/C114700698","wikidata":"https://www.wikidata.org/wiki/Q2882278","display_name":"Spectral bands","level":2,"score":0.4217016100883484},{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.4213588237762451},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4150884747505188},{"id":"https://openalex.org/C183365957","wikidata":"https://www.wikidata.org/wiki/Q17140402","display_name":"Remote sensing application","level":3,"score":0.4125523567199707},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.3530225157737732},{"id":"https://openalex.org/C19269812","wikidata":"https://www.wikidata.org/wiki/Q26540","display_name":"Satellite","level":2,"score":0.2200143039226532},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2020.2977454","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.2977454","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09019632.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:40cb861e094541fb81e44ece01f5bfe7","is_oa":true,"landing_page_url":"https://doaj.org/article/40cb861e094541fb81e44ece01f5bfe7","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 8, Pp 42384-42403 (2020)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2020.2977454","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.2977454","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09019632.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Life below water","score":0.47999998927116394,"id":"https://metadata.un.org/sdg/14"}],"awards":[{"id":"https://openalex.org/G4060935159","display_name":null,"funder_award_id":"02/020/RGH19/0185","funder_id":"https://openalex.org/F4320324727","funder_display_name":"Silesian University of Technology"},{"id":"https://openalex.org/G5542699354","display_name":null,"funder_award_id":"02/020/BKM19/0183","funder_id":"https://openalex.org/F4320324727","funder_display_name":"Silesian University of Technology"},{"id":"https://openalex.org/G7224780355","display_name":null,"funder_award_id":"POIR.01.01.01-00-0356/17","funder_id":"https://openalex.org/F4320335039","funder_display_name":"Narodowe Centrum Bada\u0144 i Rozwoju"},{"id":"https://openalex.org/G7581157100","display_name":null,"funder_award_id":"BEETLES","funder_id":"https://openalex.org/F4320318240","funder_display_name":"European Space Agency"}],"funders":[{"id":"https://openalex.org/F4320318240","display_name":"European Space Agency","ror":"https://ror.org/03wd9za21"},{"id":"https://openalex.org/F4320324727","display_name":"Silesian University of Technology","ror":"https://ror.org/02dyjk442"},{"id":"https://openalex.org/F4320335039","display_name":"Narodowe Centrum Bada\u0144 i Rozwoju","ror":"https://ror.org/05pwfyy15"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3010420609.pdf","grobid_xml":"https://content.openalex.org/works/W3010420609.grobid-xml"},"referenced_works_count":171,"referenced_works":["https://openalex.org/W68432876","https://openalex.org/W92091516","https://openalex.org/W834036986","https://openalex.org/W1504710628","https://openalex.org/W1511055489","https://openalex.org/W1522301498","https://openalex.org/W1724438581","https://openalex.org/W1902936532","https://openalex.org/W1932847118","https://openalex.org/W1964418162","https://openalex.org/W1966976587","https://openalex.org/W1968589019","https://openalex.org/W1980262437","https://openalex.org/W1996213136","https://openalex.org/W1996236363","https://openalex.org/W1999331929","https://openalex.org/W1999462417","https://openalex.org/W2005106632","https://openalex.org/W2005871861","https://openalex.org/W2030629635","https://openalex.org/W2041100636","https://openalex.org/W2045786596","https://openalex.org/W2055435695","https://openalex.org/W2056385906","https://openalex.org/W2057495411","https://openalex.org/W2067869061","https://openalex.org/W2068283358","https://openalex.org/W2071821878","https://openalex.org/W2078059562","https://openalex.org/W2078491260","https://openalex.org/W2085289658","https://openalex.org/W2086866337","https://openalex.org/W2087263574","https://openalex.org/W2090424610","https://openalex.org/W2090792028","https://openalex.org/W2097900616","https://openalex.org/W2100963083","https://openalex.org/W2109836508","https://openalex.org/W2117539524","https://openalex.org/W2118796925","https://openalex.org/W2121338139","https://openalex.org/W2126105956","https://openalex.org/W2140340527","https://openalex.org/W2141567889","https://openalex.org/W2143130611","https://openalex.org/W2150566919","https://openalex.org/W2150990614","https://openalex.org/W2151599207","https://openalex.org/W2156932943","https://openalex.org/W2158400785","https://openalex.org/W2160511393","https://openalex.org/W2165835468","https://openalex.org/W2233116163","https://openalex.org/W2250104552","https://openalex.org/W2282131058","https://openalex.org/W2286284940","https://openalex.org/W2292865806","https://openalex.org/W2310649008","https://openalex.org/W2340318445","https://openalex.org/W2412588858","https://openalex.org/W2518897583","https://openalex.org/W2566127121","https://openalex.org/W2575262114","https://openalex.org/W2576201845","https://openalex.org/W2583659076","https://openalex.org/W2587378062","https://openalex.org/W2592055968","https://openalex.org/W2592224809","https://openalex.org/W2592335735","https://openalex.org/W2592929672","https://openalex.org/W2601547350","https://openalex.org/W2603422184","https://openalex.org/W2603494857","https://openalex.org/W2604700561","https://openalex.org/W2607476064","https://openalex.org/W2736287575","https://openalex.org/W2742141965","https://openalex.org/W2742643699","https://openalex.org/W2745403568","https://openalex.org/W2746763695","https://openalex.org/W2762124670","https://openalex.org/W2766040906","https://openalex.org/W2766594578","https://openalex.org/W2766906390","https://openalex.org/W2769143033","https://openalex.org/W2782485997","https://openalex.org/W2785660254","https://openalex.org/W2787506852","https://openalex.org/W2789534470","https://openalex.org/W2791985186","https://openalex.org/W2792059834","https://openalex.org/W2793357412","https://openalex.org/W2801324747","https://openalex.org/W2808682285","https://openalex.org/W2808776742","https://openalex.org/W2809374289","https://openalex.org/W2809624076","https://openalex.org/W2883672499","https://openalex.org/W2886014761","https://openalex.org/W2888268192","https://openalex.org/W2891946740","https://openalex.org/W2894458221","https://openalex.org/W2894561647","https://openalex.org/W2896340099","https://openalex.org/W2896826789","https://openalex.org/W2896902503","https://openalex.org/W2900127593","https://openalex.org/W2900246877","https://openalex.org/W2907087576","https://openalex.org/W2908912723","https://openalex.org/W2919115771","https://openalex.org/W2921326779","https://openalex.org/W2942170965","https://openalex.org/W2942231644","https://openalex.org/W2949718784","https://openalex.org/W2950325582","https://openalex.org/W2951885307","https://openalex.org/W2952339051","https://openalex.org/W2953423780","https://openalex.org/W2953914369","https://openalex.org/W2955446216","https://openalex.org/W2958108982","https://openalex.org/W2962747489","https://openalex.org/W2963114950","https://openalex.org/W2963122961","https://openalex.org/W2963158472","https://openalex.org/W2963273111","https://openalex.org/W2963327228","https://openalex.org/W2963403664","https://openalex.org/W2963403868","https://openalex.org/W2963727962","https://openalex.org/W2963925437","https://openalex.org/W2964004663","https://openalex.org/W2964022563","https://openalex.org/W2964121744","https://openalex.org/W2964123455","https://openalex.org/W2968923792","https://openalex.org/W2969889150","https://openalex.org/W2972505576","https://openalex.org/W2975225574","https://openalex.org/W2979684695","https://openalex.org/W2980587909","https://openalex.org/W2981751377","https://openalex.org/W2986218941","https://openalex.org/W2986445670","https://openalex.org/W2987147016","https://openalex.org/W2988174739","https://openalex.org/W2988577871","https://openalex.org/W2997272341","https://openalex.org/W2998218113","https://openalex.org/W2999157894","https://openalex.org/W3003326148","https://openalex.org/W3019166713","https://openalex.org/W3100499011","https://openalex.org/W3103919952","https://openalex.org/W3104341624","https://openalex.org/W4234876869","https://openalex.org/W4243563432","https://openalex.org/W4294214983","https://openalex.org/W4298395628","https://openalex.org/W4385245566","https://openalex.org/W6631190155","https://openalex.org/W6739901393","https://openalex.org/W6747945314","https://openalex.org/W6760385162","https://openalex.org/W6767466313","https://openalex.org/W6769206438","https://openalex.org/W6769736371","https://openalex.org/W6770691456","https://openalex.org/W6772161548","https://openalex.org/W6773268926"],"related_works":["https://openalex.org/W3176621072","https://openalex.org/W3201126466","https://openalex.org/W2056435747","https://openalex.org/W2013369800","https://openalex.org/W198397934","https://openalex.org/W4380629442","https://openalex.org/W1551594539","https://openalex.org/W938217087","https://openalex.org/W4327563507","https://openalex.org/W3034043669"],"abstract_inverted_index":{"Hyperspectral":[0],"imaging":[1],"has":[2],"become":[3],"a":[4,28,64,84,90,126,176],"mature":[5],"technology":[6],"which":[7,31,154],"brings":[8],"exciting":[9],"possibilities":[10],"in":[11,36,255],"various":[12,69],"domains,":[13],"including":[14],"satellite":[15,65],"image":[16],"analysis.":[17],"However,":[18],"the":[19,54,80,96,100,108,113,143,159,180,185,223,228,234,256,260,270,275,281,292],"high":[20],"dimensionality":[21,110],"and":[22,44,118,200,215,239,250,264,284],"volume":[23],"of":[24,46,59,87,92,115,175,184,262,291],"such":[25],"imagery":[26],"is":[27,155,167,189],"serious":[29],"problem":[30],"needs":[32],"to":[33,67,141,146,192,196],"be":[34,202],"faced":[35],"Earth":[37],"Observation":[38],"applications,":[39],"where":[40],"efficient":[41],"acquisition,":[42],"transfer":[43],"storage":[45],"hyperspectral":[47,61,116,130],"images":[48],"are":[49,77,231],"key":[50],"factors.":[51],"To":[52],"reduce":[53],"time":[55],"(and":[56],"ultimately":[57],"cost)":[58],"transferring":[60],"data":[62,109],"from":[63],"back":[66],"Earth,":[68],"band":[70,131,236],"selection":[71,132,237],"algorithms":[72],"have":[73],"been":[74],"proposed.":[75],"They":[76],"built":[78],"upon":[79],"observation":[81],"that":[82,133,222,268],"for":[83,129,157],"vast":[85],"number":[86],"applications":[88],"only":[89],"subset":[91],"all":[93],"bands":[94,144,254],"convey":[95],"important":[97,161],"information":[98],"about":[99],"underlying":[101],"material,":[102],"hence":[103],"we":[104,124],"can":[105,201,240],"safely":[106],"decrease":[107],"without":[111],"deteriorating":[112],"performance":[114],"classification":[117,282],"segmentation":[119],"techniques.":[120],"In":[121],"this":[122],"paper,":[123],"introduce":[125],"novel":[127],"algorithm":[128],"couples":[134],"new":[135],"attention-based":[136,165],"convolutional":[137,170,198],"neural":[138],"networks":[139],"used":[140],"weight":[142],"according":[145],"their":[147],"importance":[148],"with":[149,218,227,233],"an":[150],"anomaly":[151],"detection":[152],"technique":[153],"exploited":[156],"selecting":[158],"most":[160,181,271],"bands.":[162],"The":[163],"proposed":[164],"approach":[166],"data-driven,":[168],"re-uses":[169],"activations":[171],"at":[172],"different":[173],"depths":[174],"deep":[177,224,293],"architecture,":[178],"identifying":[179],"informative":[182],"regions":[183],"spectrum.":[186],"Also,":[187,274],"it":[188],"modular,":[190],"easy":[191],"implement,":[193],"seamlessly":[194],"applicable":[195],"any":[197],"network,":[199],"trained":[203],"end-to-end":[204],"using":[205],"gradient":[206],"descent.":[207],"Our":[208],"rigorous":[209],"experiments,":[210],"performed":[211],"over":[212],"benchmark":[213],"sets":[214,267],"backed":[216],"up":[217],"statistical":[219],"tests,":[220],"showed":[221],"models":[225],"equipped":[226],"attention":[229,276],"mechanism":[230],"competitive":[232],"state-of-the-art":[235],"techniques":[238],"work":[241],"orders":[242],"or":[243],"magnitude":[244],"faster,":[245],"they":[246],"deliver":[247],"high-quality":[248],"classification,":[249],"consistently":[251],"identify":[252],"significant":[253],"training":[257,288],"data,":[258],"permitting":[259],"creation":[261],"refined":[263],"extremely":[265],"compact":[266],"retain":[269],"meaningful":[272],"features.":[273],"modules":[277],"do":[278],"not":[279],"deteriorate":[280],"abilities,":[283],"slow":[285],"down":[286],"neither":[287],"nor":[289],"inference":[290],"models.":[294]},"counts_by_year":[{"year":2026,"cited_by_count":6},{"year":2025,"cited_by_count":13},{"year":2024,"cited_by_count":18},{"year":2023,"cited_by_count":14},{"year":2022,"cited_by_count":17},{"year":2021,"cited_by_count":23},{"year":2020,"cited_by_count":6}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}
