{"id":"https://openalex.org/W4406163777","doi":"https://doi.org/10.1109/tgrs.2025.3526917","title":"How to Evaluate and Remove the Weakened Bands in Hyperspectral Image Classification","display_name":"How to Evaluate and Remove the Weakened Bands in Hyperspectral Image Classification","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4406163777","doi":"https://doi.org/10.1109/tgrs.2025.3526917"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2025.3526917","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2025.3526917","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"is_oa":false,"is_in_doaj":false,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Geoscience and Remote Sensing","raw_type":"journal-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/A5007549041","display_name":"Huan Zhang","orcid":"https://orcid.org/0000-0003-0747-4375"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huan Zhang","raw_affiliation_strings":["Department of Electronic Engineering, Tsinghua University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-0747-4375","affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027073630","display_name":"Xiaolin Han","orcid":"https://orcid.org/0000-0001-9721-5371"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaolin Han","raw_affiliation_strings":["School of Mechatronical Engineering, Beijing Institute of Technology, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mechatronical Engineering, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049452441","display_name":"Jingwei Deng","orcid":"https://orcid.org/0009-0000-6671-1583"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jingwei Deng","raw_affiliation_strings":["Department of Electronic Engineering, Tsinghua University, Beijing, China"],"raw_orcid":"https://orcid.org/0009-0000-6671-1583","affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5024318974","display_name":"Weidong Sun","orcid":"https://orcid.org/0000-0002-8931-8407"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weidong Sun","raw_affiliation_strings":["Department of Electronic Engineering, Tsinghua University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-8931-8407","affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":5.3337,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.95251481,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"63","issue":null,"first_page":"1","last_page":"15"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.7666000127792358,"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":0.7666000127792358,"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":0.9090311527252197},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.6067985892295837},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.5365412831306458},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5348497629165649},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.46363040804862976},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.42134904861450195},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.41323989629745483},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3811887800693512},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.32796207070350647}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.9090311527252197},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.6067985892295837},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.5365412831306458},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5348497629165649},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.46363040804862976},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.42134904861450195},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.41323989629745483},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3811887800693512},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.32796207070350647}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tgrs.2025.3526917","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2025.3526917","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"is_oa":false,"is_in_doaj":false,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Geoscience and Remote Sensing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2264539565","display_name":null,"funder_award_id":"82471999","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2697428348","display_name":"\u5149\u8c31\u5e93\u5b66\u4e60\u4e0e\u6837\u672c\u5e93\u5b66\u4e60\u6846\u67b6\u4e0b\u9065\u611f\u56fe\u50cf\u5149\u8c31\u8d85\u5206\u8fa8\u7387\u65b9\u6cd5\u7814\u7a76","funder_award_id":"41971294","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6227596952","display_name":null,"funder_award_id":"82471999","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G8497230810","display_name":null,"funder_award_id":"41971294","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320327514","display_name":"Beijing Institute of Technology Research Fund Program for Young Scholars","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":67,"referenced_works":["https://openalex.org/W1504710628","https://openalex.org/W1656974909","https://openalex.org/W2018639934","https://openalex.org/W2022470997","https://openalex.org/W2050917502","https://openalex.org/W2054631241","https://openalex.org/W2081208755","https://openalex.org/W2138038253","https://openalex.org/W2150990614","https://openalex.org/W2151599207","https://openalex.org/W2156932943","https://openalex.org/W2159913375","https://openalex.org/W2161880237","https://openalex.org/W2162698522","https://openalex.org/W2316226477","https://openalex.org/W2329868263","https://openalex.org/W2363486310","https://openalex.org/W2503041237","https://openalex.org/W2548475179","https://openalex.org/W2555818261","https://openalex.org/W2586894204","https://openalex.org/W2614256707","https://openalex.org/W2764276316","https://openalex.org/W2799954862","https://openalex.org/W2811009023","https://openalex.org/W2888119354","https://openalex.org/W2894337953","https://openalex.org/W2908955282","https://openalex.org/W2914205315","https://openalex.org/W2954233305","https://openalex.org/W2969508022","https://openalex.org/W2979715156","https://openalex.org/W2986178435","https://openalex.org/W2990986966","https://openalex.org/W3013882333","https://openalex.org/W3022237966","https://openalex.org/W3046819794","https://openalex.org/W3114720220","https://openalex.org/W3120808882","https://openalex.org/W3128882319","https://openalex.org/W3129816930","https://openalex.org/W3131734816","https://openalex.org/W3183800428","https://openalex.org/W3192343054","https://openalex.org/W3199582608","https://openalex.org/W3199847591","https://openalex.org/W4200250048","https://openalex.org/W4211065340","https://openalex.org/W4281262838","https://openalex.org/W4285111340","https://openalex.org/W4285273718","https://openalex.org/W4309367935","https://openalex.org/W4318586146","https://openalex.org/W4319170516","https://openalex.org/W4384819934","https://openalex.org/W4385491435","https://openalex.org/W4386077563","https://openalex.org/W4386223305","https://openalex.org/W4389917259","https://openalex.org/W4390659055","https://openalex.org/W4391594007","https://openalex.org/W4392940549","https://openalex.org/W4400207942","https://openalex.org/W4400975268","https://openalex.org/W6752699425","https://openalex.org/W6881094016","https://openalex.org/W7027716524"],"related_works":["https://openalex.org/W2072166414","https://openalex.org/W3209970181","https://openalex.org/W2060875994","https://openalex.org/W3034375524","https://openalex.org/W4230131218","https://openalex.org/W2404757046","https://openalex.org/W2385371209","https://openalex.org/W4250051149","https://openalex.org/W2083270190","https://openalex.org/W2546503577"],"abstract_inverted_index":{"Hyperspectral":[0],"image":[1,105,241],"classification":[2,43,106],"is":[3,51,73,88,107,137,167,218],"mainly":[4],"based":[5,97,213],"on":[6,85,205,234],"the":[7,21,25,34,37,41,48,54,80,103,112,127,134,141,145,150,157,178,186,198,208,223,239],"spectral":[8],"information":[9,39,180],"of":[10,27,36,53,71,79,154,181,201,211,225,238],"land":[11],"covers,":[12],"but":[13,63],"water":[14,128,170],"vapor":[15,129,171],"or":[16],"Rayleigh":[17,131,173],"scattering":[18,132,174],"will":[19],"weaken":[20,98,152,177,188,214],"surface":[22,135],"reflectance":[23,136],"under":[24],"effect":[26],"adjacent":[28,158],"pixels,":[29],"and":[30,130,149,172,185,222,232],"thus":[31],"lead":[32],"to":[33,58,110,124,196],"reducing":[35],"discriminative":[38,179],"for":[40,47,69,102],"subsequent":[42],"tasks.":[44],"Atmospheric":[45],"correction":[46,68],"weakened":[49],"bands":[50,83,115],"one":[52],"most":[55],"traditional":[56],"ways":[57],"deal":[59],"with":[60,162],"this":[61,93,206],"issue,":[62],"as":[64,192],"a":[65,76,89,163],"complete":[66],"atmospheric":[67,118],"both":[70],"them":[72],"difficult,":[74],"maybe":[75],"systematic":[77],"exclusion":[78,100,216],"severely":[81,113],"affected":[82,114],"base":[84],"quantitative":[86],"evaluation":[87,96,122,212],"better":[90],"choice.":[91],"In":[92],"paper,":[94],"an":[95,121,193],"band":[99,151,187,215],"method":[101,217,228],"hyperspectral":[104,240],"proposed,":[108],"trying":[109],"remove":[111],"without":[116],"further":[117],"correction.":[119],"Specifically,":[120],"model":[123,148],"describe":[125],"how":[126],"affect":[133],"constructed,":[138],"by":[139],"using":[140],"statistical":[142],"relationship":[143],"between":[144],"radiative":[146],"transfer":[147],"index":[153,189,195],"spectra":[155],"among":[156],"pixels.":[159],"And":[160],"then,":[161],"simulation":[164],"experiment,":[165],"it":[166],"shown":[168],"that":[169],"can":[175,190],"really":[176],"some":[182],"specific":[183],"bands,":[184],"serve":[191],"appropriate":[194],"evaluate":[197],"weakening":[199],"degree":[200],"those":[202],"bands.":[203],"Finally,":[204],"basis,":[207],"total":[209],"framework":[210],"given.":[219],"The":[220],"effectiveness":[221],"universality":[224],"our":[226],"proposed":[227],"have":[229],"been":[230],"verified":[231],"compared":[233],"four":[235],"representative":[236],"tasks":[237],"classification.":[242]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}