{"id":"https://openalex.org/W4406264670","doi":"https://doi.org/10.1109/icspcc62635.2024.10770480","title":"Hyperspectral Anomaly Detection with CNN-Based VAE and RX Algorithm","display_name":"Hyperspectral Anomaly Detection with CNN-Based VAE and RX Algorithm","publication_year":2024,"publication_date":"2024-08-19","ids":{"openalex":"https://openalex.org/W4406264670","doi":"https://doi.org/10.1109/icspcc62635.2024.10770480"},"language":"en","primary_location":{"id":"doi:10.1109/icspcc62635.2024.10770480","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icspcc62635.2024.10770480","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC)","raw_type":"proceedings-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/A5037873266","display_name":"Linruize Tang","orcid":null},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Linruize Tang","raw_affiliation_strings":["Research and Development Institute of Northwestern Polytechnical University in Shenzhen,China"],"affiliations":[{"raw_affiliation_string":"Research and Development Institute of Northwestern Polytechnical University in Shenzhen,China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006593952","display_name":"Yingjie Song","orcid":"https://orcid.org/0000-0002-2331-2248"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yingjie Song","raw_affiliation_strings":["Research and Development Institute of Northwestern Polytechnical University in Shenzhen,China"],"affiliations":[{"raw_affiliation_string":"Research and Development Institute of Northwestern Polytechnical University in Shenzhen,China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100776460","display_name":"Jinwei Li","orcid":"https://orcid.org/0000-0001-7602-3397"},"institutions":[{"id":"https://openalex.org/I2800556661","display_name":"China Tobacco","ror":"https://ror.org/030d08e08","country_code":"CN","type":"government","lineage":["https://openalex.org/I2800556661"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinwei Li","raw_affiliation_strings":["Yunnan tobacco redrying Co., Ltd.,Luxi Tobacco Redrying Factory,Yunnan,China"],"affiliations":[{"raw_affiliation_string":"Yunnan tobacco redrying Co., Ltd.,Luxi Tobacco Redrying Factory,Yunnan,China","institution_ids":["https://openalex.org/I2800556661"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100729904","display_name":"Qiang Li","orcid":"https://orcid.org/0000-0001-5744-1403"},"institutions":[{"id":"https://openalex.org/I2800556661","display_name":"China Tobacco","ror":"https://ror.org/030d08e08","country_code":"CN","type":"government","lineage":["https://openalex.org/I2800556661"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiang Li","raw_affiliation_strings":["Yunnan tobacco redrying Co., Ltd.,Luxi Tobacco Redrying Factory,Yunnan,China"],"affiliations":[{"raw_affiliation_string":"Yunnan tobacco redrying Co., Ltd.,Luxi Tobacco Redrying Factory,Yunnan,China","institution_ids":["https://openalex.org/I2800556661"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064453711","display_name":"Rengang Li","orcid":"https://orcid.org/0000-0002-4297-4335"},"institutions":[{"id":"https://openalex.org/I2800556661","display_name":"China Tobacco","ror":"https://ror.org/030d08e08","country_code":"CN","type":"government","lineage":["https://openalex.org/I2800556661"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Rengang Li","raw_affiliation_strings":["Yunnan tobacco redrying Co., Ltd.,Luxi Tobacco Redrying Factory,Yunnan,China","Yunnan tobacco redrying Co., Ltd.,Yunnan,China"],"affiliations":[{"raw_affiliation_string":"Yunnan tobacco redrying Co., Ltd.,Luxi Tobacco Redrying Factory,Yunnan,China","institution_ids":["https://openalex.org/I2800556661"]},{"raw_affiliation_string":"Yunnan tobacco redrying Co., Ltd.,Yunnan,China","institution_ids":["https://openalex.org/I2800556661"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100665328","display_name":"Ruidong Li","orcid":"https://orcid.org/0000-0002-9905-8952"},"institutions":[{"id":"https://openalex.org/I2800556661","display_name":"China Tobacco","ror":"https://ror.org/030d08e08","country_code":"CN","type":"government","lineage":["https://openalex.org/I2800556661"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ruidong Li","raw_affiliation_strings":["Yunnan tobacco redrying Co., Ltd.,Luxi Tobacco Redrying Factory,Yunnan,China","Yunnan tobacco redrying Co., Ltd.,Yunnan,China"],"affiliations":[{"raw_affiliation_string":"Yunnan tobacco redrying Co., Ltd.,Luxi Tobacco Redrying Factory,Yunnan,China","institution_ids":["https://openalex.org/I2800556661"]},{"raw_affiliation_string":"Yunnan tobacco redrying Co., Ltd.,Yunnan,China","institution_ids":["https://openalex.org/I2800556661"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100332884","display_name":"Jie Chen","orcid":"https://orcid.org/0000-0002-2218-087X"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jie Chen","raw_affiliation_strings":["Research and Development Institute of Northwestern Polytechnical University in Shenzhen,China"],"affiliations":[{"raw_affiliation_string":"Research and Development Institute of Northwestern Polytechnical University in Shenzhen,China","institution_ids":["https://openalex.org/I17145004"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5037873266"],"corresponding_institution_ids":["https://openalex.org/I17145004"],"apc_list":null,"apc_paid":null,"fwci":0.6751,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.76346374,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.8603000044822693,"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":0.8603000044822693,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.791923999786377},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6914446353912354},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.656548798084259},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5216255784034729},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5051813721656799},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4511128067970276},{"id":"https://openalex.org/keywords/anomaly","display_name":"Anomaly (physics)","score":0.4391734302043915},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.048395395278930664}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.791923999786377},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6914446353912354},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.656548798084259},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5216255784034729},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5051813721656799},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4511128067970276},{"id":"https://openalex.org/C12997251","wikidata":"https://www.wikidata.org/wiki/Q567560","display_name":"Anomaly (physics)","level":2,"score":0.4391734302043915},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.048395395278930664},{"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/icspcc62635.2024.10770480","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icspcc62635.2024.10770480","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4399999976158142,"display_name":"Climate action","id":"https://metadata.un.org/sdg/13"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["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","https://openalex.org/W2912112202","https://openalex.org/W4377864969","https://openalex.org/W3120251014"],"abstract_inverted_index":{"Hyperspectral":[0],"imaging":[1],"(HSI)":[2],"offers":[3],"rich":[4],"spectral":[5,79],"and":[6,17,80,97],"spatial":[7,44,81],"information,":[8,82],"making":[9],"anomaly":[10],"detection":[11],"in":[12,102,105],"hyperspectral":[13,106],"images":[14,107],"a":[15,51],"critical":[16],"widely":[18],"applied":[19],"task.":[20],"While":[21],"combining":[22],"Variational":[23],"Autoencoders":[24],"(VAE)":[25],"with":[26],"the":[27,68,84,94],"Reed-Xiaoli":[28],"(RX)":[29],"algorithm":[30,70],"has":[31],"shown":[32],"advantages,":[33],"existing":[34,87],"methods":[35],"often":[36],"rely":[37],"on":[38,90],"individual":[39],"pixels":[40],"without":[41],"fully":[42],"exploiting":[43],"information.":[45],"In":[46],"this":[47],"work,":[48],"we":[49],"propose":[50],"CNN-based":[52],"VAE":[53],"framework":[54],"that":[55],"extracts":[56],"latent":[57],"representations":[58],"from":[59],"multi-scale":[60],"data":[61],"cubes,":[62],"which":[63],"are":[64],"then":[65],"analyzed":[66],"by":[67],"RX":[69],"to":[71],"detect":[72],"anomalies.":[73],"This":[74],"method":[75],"effectively":[76],"incorporates":[77],"both":[78],"addressing":[83],"limitations":[85],"of":[86,99],"detectors.":[88],"Experiments":[89],"multiple":[91],"datasets":[92],"demonstrate":[93],"superior":[95],"accuracy":[96],"efficiency":[98],"our":[100],"approach":[101],"detecting":[103],"anomalies":[104]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2026-02-25T23:00:34.991745","created_date":"2025-10-10T00:00:00"}
