{"id":"https://openalex.org/W4391341537","doi":"https://doi.org/10.1109/tgrs.2024.3360261","title":"HyperDID: Hyperspectral Intrinsic Image Decomposition With Deep Feature Embedding","display_name":"HyperDID: Hyperspectral Intrinsic Image Decomposition With Deep Feature Embedding","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4391341537","doi":"https://doi.org/10.1109/tgrs.2024.3360261"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2024.3360261","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2024.3360261","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/A5074772585","display_name":"Zhiqiang Gong","orcid":"https://orcid.org/0000-0001-7999-3014"},"institutions":[{"id":"https://openalex.org/I4210160531","display_name":"Chinese People's Liberation Army","ror":"https://ror.org/05tf9r976","country_code":"CN","type":"funder","lineage":["https://openalex.org/I4210160531"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhiqiang Gong","raw_affiliation_strings":["Intelligent Game and Decision Laboratory and the Defense Innovation Institute, Chinese Academy of Military Sciences, Beijing, China","Intelligent Game and Decision Laboratory, and the Defense Innovation Institute, Chinese Academy of Military Sciences, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-7999-3014","affiliations":[{"raw_affiliation_string":"Intelligent Game and Decision Laboratory and the Defense Innovation Institute, Chinese Academy of Military Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210160531"]},{"raw_affiliation_string":"Intelligent Game and Decision Laboratory, and the Defense Innovation Institute, Chinese Academy of Military Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210160531"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102590259","display_name":"Xian Zhou","orcid":"https://orcid.org/0000-0002-8815-1430"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xian Zhou","raw_affiliation_strings":["Information Research Center of Military Science, Chinese Academy of Military Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Information Research Center of Military Science, Chinese Academy of Military Sciences, Beijing, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089866078","display_name":"Wen Yao","orcid":"https://orcid.org/0000-0001-5224-9834"},"institutions":[{"id":"https://openalex.org/I4210160531","display_name":"Chinese People's Liberation Army","ror":"https://ror.org/05tf9r976","country_code":"CN","type":"funder","lineage":["https://openalex.org/I4210160531"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wen Yao","raw_affiliation_strings":["Intelligent Game and Decision Laboratory and the Defense Innovation Institute, Chinese Academy of Military Sciences, Beijing, China","Intelligent Game and Decision Laboratory, and the Defense Innovation Institute, Chinese Academy of Military Sciences, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-5224-9834","affiliations":[{"raw_affiliation_string":"Intelligent Game and Decision Laboratory and the Defense Innovation Institute, Chinese Academy of Military Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210160531"]},{"raw_affiliation_string":"Intelligent Game and Decision Laboratory, and the Defense Innovation Institute, Chinese Academy of Military Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210160531"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103268977","display_name":"Xiaohu Zheng","orcid":"https://orcid.org/0000-0003-4568-4277"},"institutions":[{"id":"https://openalex.org/I4210160531","display_name":"Chinese People's Liberation Army","ror":"https://ror.org/05tf9r976","country_code":"CN","type":"funder","lineage":["https://openalex.org/I4210160531"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaohu Zheng","raw_affiliation_strings":["Intelligent Game and Decision Laboratory and the Defense Innovation Institute, Chinese Academy of Military Sciences, Beijing, China","Intelligent Game and Decision Laboratory, and the Defense Innovation Institute, Chinese Academy of Military Sciences, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-4568-4277","affiliations":[{"raw_affiliation_string":"Intelligent Game and Decision Laboratory and the Defense Innovation Institute, Chinese Academy of Military Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210160531"]},{"raw_affiliation_string":"Intelligent Game and Decision Laboratory, and the Defense Innovation Institute, Chinese Academy of Military Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210160531"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5079556851","display_name":"Ping Zhong","orcid":"https://orcid.org/0000-0002-8686-3928"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ping Zhong","raw_affiliation_strings":["National Key Laboratory of Science and Technology on ATR, College of Electrical Science and Technology, National University of Defense Technology, Changsha, China","College of Electrical Science and Technology, National Key Laboratory of Science and Technology on ATR, National University of Defense Technology, Changsha, China"],"raw_orcid":"https://orcid.org/0000-0002-8686-3928","affiliations":[{"raw_affiliation_string":"National Key Laboratory of Science and Technology on ATR, College of Electrical Science and Technology, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]},{"raw_affiliation_string":"College of Electrical Science and Technology, National Key Laboratory of Science and Technology on ATR, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5074772585"],"corresponding_institution_ids":["https://openalex.org/I4210160531"],"apc_list":null,"apc_paid":null,"fwci":1.8456,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.86032774,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":"62","issue":null,"first_page":"1","last_page":"14"},"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9973000288009644,"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":0.9944000244140625,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.8305676579475403},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6312755346298218},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5670005083084106},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5593847632408142},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5391393899917603},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.5088653564453125},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.48048773407936096},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4728532135486603},{"id":"https://openalex.org/keywords/decomposition","display_name":"Decomposition","score":0.45778098702430725},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.441976398229599},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.4094200134277344},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.22359752655029297},{"id":"https://openalex.org/keywords/chemistry","display_name":"Chemistry","score":0.0960175096988678}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.8305676579475403},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6312755346298218},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5670005083084106},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5593847632408142},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5391393899917603},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.5088653564453125},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.48048773407936096},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4728532135486603},{"id":"https://openalex.org/C124681953","wikidata":"https://www.wikidata.org/wiki/Q339062","display_name":"Decomposition","level":2,"score":0.45778098702430725},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.441976398229599},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.4094200134277344},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.22359752655029297},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0960175096988678},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","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":1,"locations":[{"id":"doi:10.1109/tgrs.2024.3360261","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2024.3360261","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/13","score":0.699999988079071,"display_name":"Climate action"}],"awards":[{"id":"https://openalex.org/G5698205309","display_name":null,"funder_award_id":"62001502","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":50,"referenced_works":["https://openalex.org/W1997478538","https://openalex.org/W2004754531","https://openalex.org/W2018482939","https://openalex.org/W2053615857","https://openalex.org/W2075117036","https://openalex.org/W2089372326","https://openalex.org/W2117741752","https://openalex.org/W2166661231","https://openalex.org/W2609615231","https://openalex.org/W2609880332","https://openalex.org/W2755992512","https://openalex.org/W2757242159","https://openalex.org/W2772452219","https://openalex.org/W2808098982","https://openalex.org/W2888119354","https://openalex.org/W2907100627","https://openalex.org/W2914331134","https://openalex.org/W2942454403","https://openalex.org/W2971007343","https://openalex.org/W3011095215","https://openalex.org/W3047443805","https://openalex.org/W3093896170","https://openalex.org/W3103695279","https://openalex.org/W3104418202","https://openalex.org/W3105357426","https://openalex.org/W3107126660","https://openalex.org/W3152656798","https://openalex.org/W3175613352","https://openalex.org/W3178914557","https://openalex.org/W3194882794","https://openalex.org/W3214821343","https://openalex.org/W4206307542","https://openalex.org/W4207056554","https://openalex.org/W4210541032","https://openalex.org/W4210794570","https://openalex.org/W4226070402","https://openalex.org/W4293370522","https://openalex.org/W4327522253","https://openalex.org/W4327662994","https://openalex.org/W4360584432","https://openalex.org/W4366493021","https://openalex.org/W4378965872","https://openalex.org/W4379382429","https://openalex.org/W4388157208","https://openalex.org/W4388685310","https://openalex.org/W4403279508","https://openalex.org/W6766978945","https://openalex.org/W6774314701","https://openalex.org/W6857796175","https://openalex.org/W6857839881"],"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/W2044184146","https://openalex.org/W2070598848","https://openalex.org/W2019190440","https://openalex.org/W3034864990"],"abstract_inverted_index":{"The":[0,60,130],"dissection":[1],"of":[2,17,32,103,120,132,145],"hyperspectral":[3,9,18,48,107,121],"images":[4],"into":[5],"intrinsic":[6,10,49,77],"components":[7],"through":[8],"image":[11,50,108,122],"decomposition":[12,51],"(HIID)":[13],"enhances":[14],"the":[15,29,37,65,101,118,133,143],"interpretability":[16],"data,":[19],"providing":[20],"a":[21,80],"foundation":[22],"for":[23,52,116,142],"more":[24],"accurate":[25],"classification":[26,30,53,109],"outcomes.":[27],"However,":[28],"performance":[31],"HIID":[33],"is":[34,85],"constrained":[35],"by":[36,55,124],"model\u2019s":[38],"representational":[39],"ability.":[40],"To":[41],"address":[42],"this":[43,45],"limitation,":[44],"study":[46],"rethinks":[47],"tasks":[54],"introducing":[56],"deep":[57,126],"feature":[58,127],"embedding.":[59],"proposed":[61,134],"framework,":[62],"HyperDID,":[63],"incorporates":[64],"Environmental":[66],"Feature":[67,72,81],"Module":[68,73,83],"(EFM)":[69],"and":[70,90],"Categorical":[71],"(CFM)":[74],"to":[75,87],"extract":[76],"features.":[78,92],"Additionally,":[79],"Discrimination":[82],"(FDM)":[84],"introduced":[86],"separate":[88],"environment-related":[89],"category-related":[91],"Experimental":[93],"results":[94],"across":[95],"three":[96],"commonly":[97],"used":[98],"datasets":[99],"validate":[100],"effectiveness":[102],"HyperDID":[104],"in":[105],"improving":[106],"performance.":[110],"This":[111],"novel":[112],"approach":[113],"holds":[114],"promise":[115],"advancing":[117],"capabilities":[119],"analysis":[123],"leveraging":[125],"embedding":[128],"principles.":[129],"implementation":[131],"method":[135],"could":[136],"be":[137],"accessed":[138],"soon":[139],"at":[140],"https://github.com/shendu-sw/HyperDID":[141],"sake":[144],"reproducibility.":[146]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
