{"id":"https://openalex.org/W3080792885","doi":"https://doi.org/10.1109/tgrs.2020.3013022","title":"Characterization of Background-Anomaly Separability With Generative Adversarial Network for Hyperspectral Anomaly Detection","display_name":"Characterization of Background-Anomaly Separability With Generative Adversarial Network for Hyperspectral Anomaly Detection","publication_year":2020,"publication_date":"2020-08-21","ids":{"openalex":"https://openalex.org/W3080792885","doi":"https://doi.org/10.1109/tgrs.2020.3013022","mag":"3080792885"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2020.3013022","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2020.3013022","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/A5008806429","display_name":"Jiaping Zhong","orcid":"https://orcid.org/0000-0001-5006-9530"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiaping Zhong","raw_affiliation_strings":["State Key Laboratory of Integrated Services Networks, Xidian University, Xi\u2019an, China","State Key Laboratory of Integrated Services Networks, Xidian University, Xi'an, China"],"raw_orcid":"https://orcid.org/0000-0001-5006-9530","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Integrated Services Networks, Xidian University, Xi\u2019an, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"State Key Laboratory of Integrated Services Networks, Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052163069","display_name":"Weiying Xie","orcid":"https://orcid.org/0000-0001-8310-024X"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weiying Xie","raw_affiliation_strings":["State Key Laboratory of Integrated Services Networks, Xidian University, Xi\u2019an, China","State Key Laboratory of Integrated Services Networks, Xidian University, Xi'an, China"],"raw_orcid":"https://orcid.org/0000-0001-8310-024X","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Integrated Services Networks, Xidian University, Xi\u2019an, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"State Key Laboratory of Integrated Services Networks, Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067798266","display_name":"Yunsong Li","orcid":"https://orcid.org/0000-0002-0234-6270"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yunsong Li","raw_affiliation_strings":["State Key Laboratory of Integrated Services Networks, Xidian University, Xi\u2019an, China","State Key Laboratory of Integrated Services Networks, Xidian University, Xi'an, China"],"raw_orcid":"https://orcid.org/0000-0002-0234-6270","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Integrated Services Networks, Xidian University, Xi\u2019an, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"State Key Laboratory of Integrated Services Networks, Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007285444","display_name":"Jie Lei","orcid":"https://orcid.org/0000-0003-0851-6565"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]},{"id":"https://openalex.org/I4210120442","display_name":"AVIC Optronics (China)","ror":"https://ror.org/0338ntq56","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210120442"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jie Lei","raw_affiliation_strings":["Science and Technology on Electro-Optic Control Laboratory, Luoyang, China","State Key Laboratory of Integrated Services Networks, Xidian University, Xi\u2019an, China","State Key Laboratory of Integrated Services Networks, Xidian University, Xi'an, China"],"raw_orcid":"https://orcid.org/0000-0003-0851-6565","affiliations":[{"raw_affiliation_string":"Science and Technology on Electro-Optic Control Laboratory, Luoyang, China","institution_ids":["https://openalex.org/I4210120442"]},{"raw_affiliation_string":"State Key Laboratory of Integrated Services Networks, Xidian University, Xi\u2019an, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"State Key Laboratory of Integrated Services Networks, Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5033017179","display_name":"Qian Du","orcid":"https://orcid.org/0000-0001-8354-7500"},"institutions":[{"id":"https://openalex.org/I99041443","display_name":"Mississippi State University","ror":"https://ror.org/0432jq872","country_code":"US","type":"education","lineage":["https://openalex.org/I4210141039","https://openalex.org/I99041443"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Qian Du","raw_affiliation_strings":["Department of Electronic and Computer Engineering, Mississippi State University, Starkville, MS, USA"],"raw_orcid":"https://orcid.org/0000-0001-8354-7500","affiliations":[{"raw_affiliation_string":"Department of Electronic and Computer Engineering, Mississippi State University, Starkville, MS, USA","institution_ids":["https://openalex.org/I99041443"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":7.8439,"has_fulltext":false,"cited_by_count":81,"citation_normalized_percentile":{"value":0.9750985,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":100},"biblio":{"volume":"59","issue":"7","first_page":"6017","last_page":"6028"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9998000264167786,"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":0.9998000264167786,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9799000024795532,"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/T11667","display_name":"Advanced Chemical Sensor Technologies","score":0.9771999716758728,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"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/anomaly-detection","display_name":"Anomaly detection","score":0.7859454154968262},{"id":"https://openalex.org/keywords/discriminator","display_name":"Discriminator","score":0.7587791681289673},{"id":"https://openalex.org/keywords/anomaly","display_name":"Anomaly (physics)","score":0.7555200457572937},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.662018895149231},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6283247470855713},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6023843884468079},{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.5498651266098022},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.09485164284706116}],"concepts":[{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.7859454154968262},{"id":"https://openalex.org/C2779803651","wikidata":"https://www.wikidata.org/wiki/Q5282088","display_name":"Discriminator","level":3,"score":0.7587791681289673},{"id":"https://openalex.org/C12997251","wikidata":"https://www.wikidata.org/wiki/Q567560","display_name":"Anomaly (physics)","level":2,"score":0.7555200457572937},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.662018895149231},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6283247470855713},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6023843884468079},{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.5498651266098022},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.09485164284706116},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.0},{"id":"https://openalex.org/C26873012","wikidata":"https://www.wikidata.org/wiki/Q214781","display_name":"Condensed matter physics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tgrs.2020.3013022","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2020.3013022","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/10","display_name":"Reduced inequalities","score":0.7599999904632568}],"awards":[{"id":"https://openalex.org/G1147426558","display_name":null,"funder_award_id":"JB180104","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G1424917938","display_name":null,"funder_award_id":"61701360","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1595715893","display_name":null,"funder_award_id":"B08038","funder_id":"https://openalex.org/F4320327912","funder_display_name":"Higher Education Discipline Innovation Project"},{"id":"https://openalex.org/G4131587450","display_name":"\u56fe\u50cf\u7b97\u672f\u7f16\u7801\u7279\u5f81\u53ca\u540c\u6b65\u6280\u672f\u7814\u7a76","funder_award_id":"61571345","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4507359911","display_name":null,"funder_award_id":"61502367","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5261532345","display_name":null,"funder_award_id":"6142504190206","funder_id":"https://openalex.org/F4320322857","funder_display_name":"Aeronautical Science Foundation of China"},{"id":"https://openalex.org/G5657849150","display_name":null,"funder_award_id":"91538101","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5820774447","display_name":null,"funder_award_id":"2019T120878","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"},{"id":"https://openalex.org/G7389467270","display_name":null,"funder_award_id":"2017M620440","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"},{"id":"https://openalex.org/G7594473715","display_name":null,"funder_award_id":"61801359","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G841248577","display_name":null,"funder_award_id":"61501346","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"},{"id":"https://openalex.org/F4320321543","display_name":"China Postdoctoral Science Foundation","ror":"https://ror.org/0426zh255"},{"id":"https://openalex.org/F4320322857","display_name":"Aeronautical Science Foundation of China","ror":"https://ror.org/02wq41p38"},{"id":"https://openalex.org/F4320327912","display_name":"Higher Education Discipline Innovation Project","ror":null},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null},{"id":"https://openalex.org/F4320336605","display_name":"National Ten Thousand Talent Program","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":58,"referenced_works":["https://openalex.org/W625476304","https://openalex.org/W1899348529","https://openalex.org/W1963659868","https://openalex.org/W1998691552","https://openalex.org/W2004491663","https://openalex.org/W2024288510","https://openalex.org/W2040078680","https://openalex.org/W2043441451","https://openalex.org/W2047870694","https://openalex.org/W2092869901","https://openalex.org/W2099471712","https://openalex.org/W2102409316","https://openalex.org/W2124463804","https://openalex.org/W2142552707","https://openalex.org/W2204904589","https://openalex.org/W2288636546","https://openalex.org/W2288752886","https://openalex.org/W2343117455","https://openalex.org/W2412320034","https://openalex.org/W2543275511","https://openalex.org/W2592141703","https://openalex.org/W2593414223","https://openalex.org/W2611655888","https://openalex.org/W2740976805","https://openalex.org/W2756489700","https://openalex.org/W2787947370","https://openalex.org/W2789806937","https://openalex.org/W2806155925","https://openalex.org/W2807662216","https://openalex.org/W2810707356","https://openalex.org/W2890376060","https://openalex.org/W2910068345","https://openalex.org/W2911672077","https://openalex.org/W2914570111","https://openalex.org/W2940678725","https://openalex.org/W2949079224","https://openalex.org/W2959891261","https://openalex.org/W2963045681","https://openalex.org/W2963183385","https://openalex.org/W2975506318","https://openalex.org/W2978971541","https://openalex.org/W2981642654","https://openalex.org/W2988878652","https://openalex.org/W2995458562","https://openalex.org/W3003955104","https://openalex.org/W3098435832","https://openalex.org/W4288335160","https://openalex.org/W4293568373","https://openalex.org/W4294568686","https://openalex.org/W4320013936","https://openalex.org/W6675401909","https://openalex.org/W6715501732","https://openalex.org/W6747246014","https://openalex.org/W6748495906","https://openalex.org/W6751917112","https://openalex.org/W6758101687","https://openalex.org/W6763324549","https://openalex.org/W6780248173"],"related_works":["https://openalex.org/W3040099731","https://openalex.org/W2896600774","https://openalex.org/W4289406342","https://openalex.org/W2806741695","https://openalex.org/W4290647774","https://openalex.org/W3189286258","https://openalex.org/W3207797160","https://openalex.org/W3210364259","https://openalex.org/W4300558037","https://openalex.org/W2667207928"],"abstract_inverted_index":{"Hyperspectral":[0],"images":[1],"(HSIs)":[2],"have":[3],"unique":[4],"advantages":[5],"in":[6,105,128,157],"distinguishing":[7],"subtle":[8],"spectral":[9,73],"differences":[10],"of":[11,43,102,120,180],"different":[12],"materials.":[13],"However,":[14],"due":[15],"to":[16,30,62,88,116,141],"complex":[17],"and":[18,24,33,67,91],"diverse":[19],"backgrounds,":[20],"unknown":[21],"prior":[22],"knowledge,":[23],"imbalanced":[25],"samples,":[26],"it":[27],"is":[28,59,135,154],"challenging":[29],"separate":[31],"background":[32,66,72,106,122,164],"anomaly.":[34],"In":[35],"this":[36],"article,":[37],"we":[38,80,109],"present":[39],"a":[40,47,82,129,133],"novel":[41],"characterization":[42],"background-anomaly":[44,111,178],"separability":[45,69,112,179],"with":[46],"generative":[48],"adversarial":[49,95,150,155],"network":[50],"(BASGAN)":[51],"for":[52,94],"hyperspectral":[53],"anomaly":[54,68,77,92,103,126],"detection.":[55],"The":[56,152],"key":[57],"contribution":[58],"the":[60,65,100,118,121,125,138,143,158,163,176,181],"proposal":[61],"explicitly":[63],"constrain":[64],"by":[70],"characterizing":[71],"samples":[74,93],"while":[75,123],"avoiding":[76],"reconstruction.":[78],"First,":[79],"use":[81],"class":[83],"saliency":[84],"map":[85],"extraction":[86],"algorithm":[87],"obtain":[89],"pseudobackground":[90],"training.":[96,151],"To":[97],"further":[98],"mitigate":[99],"suffering":[101],"contamination":[104],"distribution":[107,148],"estimation,":[108],"introduce":[110],"constrained":[113],"loss":[114],"function":[115],"enhance":[117],"reconstruction":[119,127,159],"weakening":[124],"semisupervised":[130],"way.":[131],"Additionally,":[132],"discriminator":[134],"induced":[136],"into":[137],"latent":[139],"space":[140,160],"make":[142],"encoded":[144],"representation":[145],"resemble":[146],"Gaussian":[147],"during":[149],"other":[153],"training":[156],"so":[161],"that":[162],"estimation":[165],"can":[166],"be":[167],"improved.":[168],"Experiments":[169],"conducted":[170],"on":[171],"real":[172],"data":[173],"sets":[174],"illustrate":[175],"superior":[177],"proposed":[182],"method.":[183]},"counts_by_year":[{"year":2026,"cited_by_count":7},{"year":2025,"cited_by_count":20},{"year":2024,"cited_by_count":13},{"year":2023,"cited_by_count":20},{"year":2022,"cited_by_count":15},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":1}],"updated_date":"2026-06-18T10:00:31.954636","created_date":"2025-10-10T00:00:00"}
