{"id":"https://openalex.org/W3049255552","doi":"https://doi.org/10.1109/tgrs.2020.3013285","title":"Attention Symbiotic Neural Network for Hyperspectral Image Refined Classification Based on Relative Water Content Retrieval","display_name":"Attention Symbiotic Neural Network for Hyperspectral Image Refined Classification Based on Relative Water Content Retrieval","publication_year":2020,"publication_date":"2020-08-11","ids":{"openalex":"https://openalex.org/W3049255552","doi":"https://doi.org/10.1109/tgrs.2020.3013285","mag":"3049255552"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2020.3013285","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2020.3013285","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/A5043726951","display_name":"Xuejian Liang","orcid":"https://orcid.org/0000-0002-8768-3750"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuejian Liang","raw_affiliation_strings":["School of Electronics and Information Engineering, Harbin Institute of Technology, Harbin, China"],"raw_orcid":"https://orcid.org/0000-0002-8768-3750","affiliations":[{"raw_affiliation_string":"School of Electronics and Information Engineering, Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100449291","display_name":"Ye Zhang","orcid":"https://orcid.org/0000-0001-8721-4535"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ye Zhang","raw_affiliation_strings":["School of Electronics and Information Engineering, Harbin Institute of Technology, Harbin, China"],"raw_orcid":"https://orcid.org/0000-0001-8721-4535","affiliations":[{"raw_affiliation_string":"School of Electronics and Information Engineering, Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100696425","display_name":"Junping Zhang","orcid":"https://orcid.org/0000-0002-1082-114X"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junping Zhang","raw_affiliation_strings":["School of Electronics and Information Engineering, Harbin Institute of Technology, Harbin, China"],"raw_orcid":"https://orcid.org/0000-0002-1082-114X","affiliations":[{"raw_affiliation_string":"School of Electronics and Information Engineering, Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I204983213"],"apc_list":null,"apc_paid":null,"fwci":0.9566,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.8189642,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":"59","issue":"7","first_page":"5998","last_page":"6016"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9771000146865845,"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/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.9696000218391418,"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":0.8599878549575806},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7443544864654541},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7255530953407288},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6642768383026123},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5861386656761169},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5624837279319763},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5003023147583008},{"id":"https://openalex.org/keywords/spectral-bands","display_name":"Spectral bands","score":0.41444793343544006},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.2744690775871277}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.8599878549575806},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7443544864654541},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7255530953407288},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6642768383026123},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5861386656761169},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5624837279319763},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5003023147583008},{"id":"https://openalex.org/C114700698","wikidata":"https://www.wikidata.org/wiki/Q2882278","display_name":"Spectral bands","level":2,"score":0.41444793343544006},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.2744690775871277},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tgrs.2020.3013285","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2020.3013285","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":[{"id":"https://metadata.un.org/sdg/6","score":0.8600000143051147,"display_name":"Clean water and sanitation"}],"awards":[{"id":"https://openalex.org/G1849479095","display_name":"\u5bbd\u6ce2\u6bb5\u591a\u7ef4\u5ea6\u9ad8\u5149\u8c31\u9065\u611f\u56fe\u50cf\u5206\u6790\u53ca\u89e3\u8bd1\u65b0\u65b9\u6cd5\u7814\u7a76","funder_award_id":"61871150","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8570710183","display_name":"\u57fa\u4e8e\u5173\u952e\u4fe1\u606f\u7a7a\u8c31/\u65f6\u9884\u6d4b\u7684\u9ad8\u9891\u6b21\u8d85\u5149\u8c31\u7ea2\u5916\u56fe\u50cf\u538b\u7f29\u65b0\u65b9\u6cd5\u7814\u7a76","funder_award_id":"61771170","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":74,"referenced_works":["https://openalex.org/W1521436688","https://openalex.org/W1616262590","https://openalex.org/W1966580635","https://openalex.org/W2001298023","https://openalex.org/W2012586012","https://openalex.org/W2018257962","https://openalex.org/W2025522544","https://openalex.org/W2028344184","https://openalex.org/W2029316659","https://openalex.org/W2039409148","https://openalex.org/W2056067618","https://openalex.org/W2087649910","https://openalex.org/W2090424610","https://openalex.org/W2158108683","https://openalex.org/W2161494756","https://openalex.org/W2169500530","https://openalex.org/W2208523048","https://openalex.org/W2249336288","https://openalex.org/W2314785379","https://openalex.org/W2338459354","https://openalex.org/W2338661113","https://openalex.org/W2346155541","https://openalex.org/W2465503420","https://openalex.org/W2500751094","https://openalex.org/W2516282711","https://openalex.org/W2527650001","https://openalex.org/W2546645752","https://openalex.org/W2546708692","https://openalex.org/W2548796526","https://openalex.org/W2589840226","https://openalex.org/W2603422184","https://openalex.org/W2603834682","https://openalex.org/W2609880332","https://openalex.org/W2743091961","https://openalex.org/W2754507318","https://openalex.org/W2764276316","https://openalex.org/W2769143033","https://openalex.org/W2773352017","https://openalex.org/W2775507709","https://openalex.org/W2781623059","https://openalex.org/W2787870708","https://openalex.org/W2790049854","https://openalex.org/W2793645503","https://openalex.org/W2795121812","https://openalex.org/W2795396578","https://openalex.org/W2887785636","https://openalex.org/W2888119354","https://openalex.org/W2890306271","https://openalex.org/W2893920420","https://openalex.org/W2900967758","https://openalex.org/W2901130652","https://openalex.org/W2901336253","https://openalex.org/W2901424824","https://openalex.org/W2901860299","https://openalex.org/W2901920630","https://openalex.org/W2907100627","https://openalex.org/W2908771042","https://openalex.org/W2911158779","https://openalex.org/W2914331134","https://openalex.org/W2941387379","https://openalex.org/W2942170965","https://openalex.org/W2945225401","https://openalex.org/W2948256530","https://openalex.org/W2950266692","https://openalex.org/W2953926847","https://openalex.org/W2966751049","https://openalex.org/W2971221568","https://openalex.org/W2981394989","https://openalex.org/W2985868110","https://openalex.org/W2986218941","https://openalex.org/W2989871747","https://openalex.org/W3003552243","https://openalex.org/W3101640299","https://openalex.org/W3102431071"],"related_works":["https://openalex.org/W3211035526","https://openalex.org/W2766146978","https://openalex.org/W2773120646","https://openalex.org/W4293272463","https://openalex.org/W2972973180","https://openalex.org/W2775464024","https://openalex.org/W2909041182","https://openalex.org/W4210666970","https://openalex.org/W3156786002","https://openalex.org/W4317987726"],"abstract_inverted_index":{"Hyperspectral":[0],"image":[1],"(HSI)":[2],"classification":[3,53,109,236],"appro-":[4],"aches":[5],"achieve":[6],"significant":[7],"improvements":[8],"with":[9,244],"the":[10,21,25,29,42,49,56,69,80,130,150,156,166,209,226],"proposal":[11],"and":[12,47,74,126,144,165,183,195,214,231,237],"application":[13],"of":[14,24,31,44,51,82,140,211],"deep":[15,26,62,117],"learning":[16,27,63,118],"algorithms.":[17],"However,":[18],"due":[19],"to":[20,68,86,123],"end-to-end":[22],"structure":[23],"model,":[28,153],"exploration":[30],"intrinsic":[32],"physical-chemical":[33],"properties":[34],"in":[35,61,110,149,176,216,234,242],"HSI":[36,72,107,206],"data":[37,133,207],"is":[38,65,104,114,121,220],"insufficient,":[39],"which":[40,77,154,189],"restricts":[41],"extraction":[43,60,186],"diagnostic":[45],"features":[46,128],"impedes":[48],"improvement":[50],"intraclass":[52,230],"performance.":[54,83],"Moreover,":[55],"synergetic":[57],"spectral-spatial":[58,125,142,197],"feature":[59,185,198],"model":[64,119],"limited":[66],"owing":[67],"difference":[70],"between":[71],"spectral":[73,158],"spatial":[75],"dimensions,":[76],"also":[78,221],"hinders":[79],"refinement":[81],"In":[84],"order":[85],"mitigate":[87],"these":[88],"issues,":[89],"an":[90],"attention":[91,193],"symbiotic":[92],"neural":[93],"network":[94],"(ASNN)":[95],"based":[96],"on":[97,204],"relative":[98],"water":[99],"content":[100],"(RWC)":[101],"retrieval":[102],"(RWCR)":[103],"proposed":[105,157,167],"for":[106,192,228],"refined":[108,235],"this":[111],"article.":[112],"ASNN":[113,224],"a":[115,239],"multisupervised":[116],"that":[120,223],"able":[122],"extract":[124],"biochemical":[127],"from":[129],"multilabel":[131,137],"input":[132],"simultaneously.":[134],"The":[135,201],"augmented":[136],"data,":[138],"consisting":[139],"original":[141],"labels":[143],"RWC":[145],"labels,":[146],"are":[147,172,190],"generated":[148],"RWCR":[151],"inversion":[152],"contains":[155],"index":[159],"[red":[160],"edge":[161],"slope":[162],"(RES)]":[163],"calculation":[164],"adaptive":[168],"grading":[169],"algorithm.":[170],"There":[171],"two":[173],"critical":[174],"parts":[175],"ASNN,":[177],"soft":[178],"band":[179],"selection":[180],"(SBS)":[181],"module":[182],"dimensionality-varied":[184],"(DVFE)":[187],"module,":[188],"responsible":[191],"assignment":[194],"synergistic":[196],"extraction,":[199],"respectively.":[200],"experimental":[202],"results":[203],"real":[205],"verify":[208],"effectiveness":[210],"RES,":[212],"SBS,":[213],"DVFE":[215],"ablation":[217],"studies.":[218],"It":[219],"demonstrated":[222],"has":[225],"capacity":[227],"improving":[229],"interclass":[232],"accuracy":[233],"providing":[238],"competitive":[240],"advantage":[241],"comparison":[243],"several":[245],"state-of-the-art":[246],"methods.":[247]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2021,"cited_by_count":3}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}