{"id":"https://openalex.org/W4312875565","doi":"https://doi.org/10.1109/igarss46834.2022.9884083","title":"Hyperspectral Anomaly Detection with Data Sphering and Unsupervised Target Detection","display_name":"Hyperspectral Anomaly Detection with Data Sphering and Unsupervised Target Detection","publication_year":2022,"publication_date":"2022-07-17","ids":{"openalex":"https://openalex.org/W4312875565","doi":"https://doi.org/10.1109/igarss46834.2022.9884083"},"language":"en","primary_location":{"id":"doi:10.1109/igarss46834.2022.9884083","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss46834.2022.9884083","pdf_url":null,"source":{"id":"https://openalex.org/S4363604196","display_name":"IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"},"type":"conference-paper","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/A5028845261","display_name":"Shuhan Chen","orcid":"https://orcid.org/0000-0001-9996-0666"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuhan Chen","raw_affiliation_strings":["Zhejiang University,Department of Electrical Engineering,Hangzhou,China,310027"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Zhejiang University,Department of Electrical Engineering,Hangzhou,China,310027","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101827905","display_name":"Xiaorun Li","orcid":"https://orcid.org/0000-0001-7611-845X"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaorun Li","raw_affiliation_strings":["Zhejiang University,Department of Electrical Engineering,Hangzhou,China,310027"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Zhejiang University,Department of Electrical Engineering,Hangzhou,China,310027","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5054794945","display_name":"Liaoying Zhao","orcid":"https://orcid.org/0000-0002-9276-8679"},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liaoying Zhao","raw_affiliation_strings":["Institute of Computer Application Technology, HangZhou Dianzi University,Hangzhou,China,310018"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Computer Application Technology, HangZhou Dianzi University,Hangzhou,China,310018","institution_ids":["https://openalex.org/I50760025"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1975","last_page":"1978"},"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/T12157","display_name":"Geochemistry and Geologic Mapping","score":0.9505000114440918,"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/T13890","display_name":"Remote Sensing and Land Use","score":0.9305999875068665,"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/cardinality","display_name":"Cardinality (data modeling)","score":0.580834150314331},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.5747407078742981},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5192546844482422},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.5169095993041992},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5070405006408691},{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.5031499266624451},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.40078967809677124},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.26911771297454834},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.25960850715637207},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.25576385855674744}],"concepts":[{"id":"https://openalex.org/C87117476","wikidata":"https://www.wikidata.org/wiki/Q362383","display_name":"Cardinality (data modeling)","level":2,"score":0.580834150314331},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.5747407078742981},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5192546844482422},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.5169095993041992},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5070405006408691},{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.5031499266624451},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.40078967809677124},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.26911771297454834},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.25960850715637207},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.25576385855674744}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss46834.2022.9884083","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss46834.2022.9884083","pdf_url":null,"source":{"id":"https://openalex.org/S4363604196","display_name":"IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1532610010","https://openalex.org/W2004491663","https://openalex.org/W2024288510","https://openalex.org/W2047870694","https://openalex.org/W2121789508","https://openalex.org/W2163547919","https://openalex.org/W2165447611","https://openalex.org/W2493273699","https://openalex.org/W2791725003","https://openalex.org/W3008839601","https://openalex.org/W3042747521","https://openalex.org/W3087883793","https://openalex.org/W3112037842","https://openalex.org/W3152468234"],"related_works":["https://openalex.org/W2783789044","https://openalex.org/W3211035526","https://openalex.org/W1869808405","https://openalex.org/W3173596272","https://openalex.org/W2028628118","https://openalex.org/W4291701050","https://openalex.org/W2031007444","https://openalex.org/W3216142429","https://openalex.org/W2941427360","https://openalex.org/W2775464024"],"abstract_inverted_index":{"Low":[0],"rank":[1,27],"and":[2,37,58,82,96,140],"sparse":[3,33,63,113],"representation":[4],"(LRaSR)-based":[5],"approaches":[6],"have":[7],"been":[8],"widely":[9],"used":[10],"for":[11,29,35,41,84,99],"hyperspectral":[12,20,48],"anomaly":[13,49,89,111],"detection":[14,50,61,95],"(HAD)":[15],"by":[16,79],"effectively":[17],"decomposing":[18],"a":[19,24,32,38,46],"data":[21,55,71],"set":[22],"into":[23],"low":[25],"-":[26],"component":[28,34,40],"background":[30],"(BKG),":[31],"anomalies,":[36],"residual":[39],"noise.":[42],"This":[43],"paper":[44],"proposed":[45],"novel":[47],"(AD)":[51],"method":[52],"based":[53],"on":[54,110],"sphering":[56,72],"(DS)":[57],"unsupervised":[59,93],"target":[60,94],"with":[62],"cardinality":[64,114],"(DS-UTSSC).":[65],"First":[66],"of":[67,108],"all,":[68],"DS-UTS":[69],"uses":[70],"to":[73,118],"remove":[74],"BKG,":[75],"which":[76],"is":[77,116,122,133],"characterized":[78],"1":[80],"st":[81],"2ndstatistics,":[83],"original":[85],"data$X$.":[86,102],"Second,":[87],"potential":[88],"component$\\mathrm{S}_{\\text{DS}-\\mathrm{U}\\text{TS}}$is":[90],"generated":[91],"via":[92],"subspace":[97],"projection":[98],"the":[100,106,137],"sphered":[101],"To":[103],"further":[104],"reduce":[105],"impact":[107],"noise":[109],"detection,":[112],"(SC)":[115],"incorporated":[117],"obtain$\\mathrm{S}_{\\text{DS}-\\text{UTSSC}}$.":[119],"Finally,":[120],"RX-AD":[121],"implemented":[123],"on$\\mathrm{S}_{\\mathrm{D}\\text{S-UTSSC}}$to":[124],"detect":[125],"anomalies.":[126],"The":[127],"experimental":[128],"results":[129],"validate":[130],"that":[131],"DS-UTSSC":[132],"very":[134],"competitive":[135],"against":[136],"LRaSR-based":[138],"models":[139],"AE-based":[141],"method.":[142]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3}],"updated_date":"2026-07-29T09:40:50.615796","created_date":"2025-10-10T00:00:00"}