{"id":"https://openalex.org/W3037942607","doi":"https://doi.org/10.1109/tgrs.2020.3001353","title":"Autonomous Endmember Detection via an Abundance Anomaly Guided Saliency Prior for Hyperspectral Imagery","display_name":"Autonomous Endmember Detection via an Abundance Anomaly Guided Saliency Prior for Hyperspectral Imagery","publication_year":2020,"publication_date":"2020-06-23","ids":{"openalex":"https://openalex.org/W3037942607","doi":"https://doi.org/10.1109/tgrs.2020.3001353","mag":"3037942607"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2020.3001353","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2020.3001353","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/A5100352781","display_name":"Xinyu Wang","orcid":"https://orcid.org/0000-0002-0493-3954"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinyu Wang","raw_affiliation_strings":["School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0002-0493-3954","affiliations":[{"raw_affiliation_string":"School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100754351","display_name":"Yanfei Zhong","orcid":"https://orcid.org/0000-0001-9446-5850"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]},{"id":"https://openalex.org/I4210118728","display_name":"State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing","ror":"https://ror.org/02bpap860","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210118728"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanfei Zhong","raw_affiliation_strings":["State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, China","Hubei Provincial Engineering Research Center of Natural Resources Remote Sensing Monitoring, Wuhan University, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0001-9446-5850","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747","https://openalex.org/I4210118728"]},{"raw_affiliation_string":"Hubei Provincial Engineering Research Center of Natural Resources Remote Sensing Monitoring, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747","https://openalex.org/I4210118728"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070660282","display_name":"Chunyang Cui","orcid":null},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]},{"id":"https://openalex.org/I4210118728","display_name":"State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing","ror":"https://ror.org/02bpap860","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210118728"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chunyang Cui","raw_affiliation_strings":["State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, China","Hubei Provincial Engineering Research Center of Natural Resources Remote Sensing Monitoring, Wuhan University, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747","https://openalex.org/I4210118728"]},{"raw_affiliation_string":"Hubei Provincial Engineering Research Center of Natural Resources Remote Sensing Monitoring, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747","https://openalex.org/I4210118728"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100673818","display_name":"Liangpei Zhang","orcid":"https://orcid.org/0000-0001-6890-3650"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]},{"id":"https://openalex.org/I4210118728","display_name":"State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing","ror":"https://ror.org/02bpap860","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210118728"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liangpei Zhang","raw_affiliation_strings":["State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, China","Hubei Provincial Engineering Research Center of Natural Resources Remote Sensing Monitoring, Wuhan University, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0001-6890-3650","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747","https://openalex.org/I4210118728"]},{"raw_affiliation_string":"Hubei Provincial Engineering Research Center of Natural Resources Remote Sensing Monitoring, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747","https://openalex.org/I4210118728"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5009029522","display_name":"Yanyan Xu","orcid":"https://orcid.org/0000-0002-3357-249X"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]},{"id":"https://openalex.org/I4210118728","display_name":"State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing","ror":"https://ror.org/02bpap860","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210118728"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanyan Xu","raw_affiliation_strings":["State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0002-3357-249X","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747","https://openalex.org/I4210118728"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.6693,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.72949305,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"59","issue":"3","first_page":"2336","last_page":"2351"},"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9914000034332275,"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":0.9757000207901001,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/endmember","display_name":"Endmember","score":0.9661595225334167},{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.9207108020782471},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.7097286581993103},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7038527131080627},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6793893575668335},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5596186518669128},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.5104986429214478},{"id":"https://openalex.org/keywords/subspace-topology","display_name":"Subspace topology","score":0.4731506109237671},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4155956506729126},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3847389817237854}],"concepts":[{"id":"https://openalex.org/C58237817","wikidata":"https://www.wikidata.org/wiki/Q5376204","display_name":"Endmember","level":3,"score":0.9661595225334167},{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.9207108020782471},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.7097286581993103},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7038527131080627},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6793893575668335},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5596186518669128},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.5104986429214478},{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.4731506109237671},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4155956506729126},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3847389817237854}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tgrs.2020.3001353","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2020.3001353","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/G4629252920","display_name":"\u57fa\u4e8e\u7a00\u758f\u6982\u7387\u56fe\u6a21\u578b\u7684\u9ad8\u5206\u8fa8\u7387\u9065\u611f\u5f71\u50cf\u573a\u666f\u8bed\u4e49\u7406\u89e3\u65b9\u6cd5\u7814\u7a76","funder_award_id":"41771385","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5092641215","display_name":null,"funder_award_id":"41622107","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/F4320335768","display_name":"National Postdoctoral Program for Innovative Talents","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":49,"referenced_works":["https://openalex.org/W238260150","https://openalex.org/W846821018","https://openalex.org/W1964570608","https://openalex.org/W1975269891","https://openalex.org/W1999478155","https://openalex.org/W2020523103","https://openalex.org/W2032944446","https://openalex.org/W2039806043","https://openalex.org/W2054854521","https://openalex.org/W2062383499","https://openalex.org/W2063790512","https://openalex.org/W2065548527","https://openalex.org/W2067191022","https://openalex.org/W2070424424","https://openalex.org/W2073774279","https://openalex.org/W2095343758","https://openalex.org/W2095832449","https://openalex.org/W2096710051","https://openalex.org/W2101837437","https://openalex.org/W2109006918","https://openalex.org/W2114486983","https://openalex.org/W2118246710","https://openalex.org/W2118943995","https://openalex.org/W2121947440","https://openalex.org/W2122976738","https://openalex.org/W2124260943","https://openalex.org/W2127062304","https://openalex.org/W2128090514","https://openalex.org/W2128272608","https://openalex.org/W2128715914","https://openalex.org/W2128971683","https://openalex.org/W2157321686","https://openalex.org/W2161185676","https://openalex.org/W2163547919","https://openalex.org/W2163886442","https://openalex.org/W2165755981","https://openalex.org/W2188062211","https://openalex.org/W2245855345","https://openalex.org/W2293105860","https://openalex.org/W2295820431","https://openalex.org/W2608308670","https://openalex.org/W2741786247","https://openalex.org/W2782517596","https://openalex.org/W2794531502","https://openalex.org/W2941413120","https://openalex.org/W4233760599","https://openalex.org/W6609166994","https://openalex.org/W6623562790","https://openalex.org/W6669036798"],"related_works":["https://openalex.org/W2037328426","https://openalex.org/W1990914742","https://openalex.org/W3106536224","https://openalex.org/W2891033441","https://openalex.org/W2890371384","https://openalex.org/W2315521504","https://openalex.org/W2563324120","https://openalex.org/W2006559622","https://openalex.org/W2040756827","https://openalex.org/W2051769241"],"abstract_inverted_index":{"Determining":[0],"the":[1,22,27,36,54,57,69,102,114,133,142,145,156,168,172,176,181,184,191],"optimal":[2],"number":[3],"of":[4,35,59,78,96,175],"endmember":[5,45,60],"sources,":[6],"which":[7,194],"is":[8,14,31,49,74,123,147,158,178,187],"also":[9],"called":[10],"\u201cvirtual":[11],"dimensionality\u201d":[12],"(VD),":[13],"a":[15,42,120,150],"priority":[16],"for":[17],"hyperspectral":[18,202],"unmixing":[19],"(HU).":[20],"Although":[21],"VD":[23,55,157],"estimation":[24],"directly":[25],"affects":[26],"HU":[28,37],"results,":[29],"it":[30],"usually":[32,106],"solved":[33],"independently":[34],"process.":[38],"In":[39,63],"this":[40],"article,":[41],"saliency-based":[43],"autonomous":[44],"detection":[46,153],"(SAED)":[47],"algorithm":[48],"proposed":[50,185],"to":[51,117,127],"jointly":[52],"estimate":[53],"in":[56,108,113,125,141,167],"process":[58],"extraction":[61],"(EE).":[62],"SAED,":[64],"we":[65],"first":[66],"demonstrate":[67],"that":[68,104],"abundance":[70],"anomaly":[71],"(AA)":[72],"value":[73],"an":[75],"important":[76],"feature":[77],"undetected":[79,134],"endmembers":[80,105,129,135,177],"since":[81],"pure":[82,94],"pixels":[83,92,95],"have":[84],"larger":[85],"AA":[86,143,169],"values":[87],"than":[88,190],"\u201cdistractors\u201d":[89],"(i.e.,":[90],"mixed":[91],"and":[93,155,200],"detected":[97],"endmembers).":[98],"Then,":[99],"motivated":[100],"by":[101],"fact":[103],"gather":[107],"certain":[109],"local":[110],"regions":[111],"(superpixels)":[112],"scene,":[115],"due":[116],"spatial":[118],"correlation,":[119],"superpixel":[121],"prior":[122],"introduced":[124],"SAED":[126],"distinguish":[128],"from":[130],"noise.":[131],"Specifically,":[132],"are":[136,163],"defined":[137],"as":[138,149],"visual":[139],"stimuli":[140],"subspace,":[144],"EE":[146],"formulated":[148],"salient":[151,165],"region":[152],"problem,":[154],"automatically":[159],"determined":[160],"when":[161],"there":[162],"no":[164],"objects":[166],"subspace.":[170],"Since":[171],"spatial-contextual":[173],"information":[174],"exploited":[179],"during":[180],"saliency":[182],"analysis,":[183],"method":[186],"more":[188],"robust":[189],"spectral-only":[192],"methods,":[193],"was":[195],"verified":[196],"using":[197],"both":[198],"real":[199],"synthetic":[201],"images.":[203]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2}],"updated_date":"2026-07-29T09:40:50.615796","created_date":"2025-10-10T00:00:00"}