{"id":"https://openalex.org/W4391942723","doi":"https://doi.org/10.1109/whispers61460.2023.10431118","title":"CiDAR-Former: Cosine-Weighting Deep Abundance Reconstruction Transformer for Fast Unsupervised Hyperspectral Anomaly Detection","display_name":"CiDAR-Former: Cosine-Weighting Deep Abundance Reconstruction Transformer for Fast Unsupervised Hyperspectral Anomaly Detection","publication_year":2023,"publication_date":"2023-10-31","ids":{"openalex":"https://openalex.org/W4391942723","doi":"https://doi.org/10.1109/whispers61460.2023.10431118"},"language":"en","primary_location":{"id":"doi:10.1109/whispers61460.2023.10431118","is_oa":false,"landing_page_url":"https://doi.org/10.1109/whispers61460.2023.10431118","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 13th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing (WHISPERS)","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/A5081819310","display_name":"Si-Sheng Young","orcid":"https://orcid.org/0009-0005-6207-0519"},"institutions":[{"id":"https://openalex.org/I91807558","display_name":"National Cheng Kung University","ror":"https://ror.org/01b8kcc49","country_code":"TW","type":"education","lineage":["https://openalex.org/I91807558"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Si-Sheng Young","raw_affiliation_strings":["National Cheng Kung University,Institute of Computer and Communication Engineering,Department of Electrical Engineering,Tainan,Taiwan","Department of Electrical Engineering, Institute of Computer and Communication Engineering, National Cheng Kung University, Tainan, Taiwan"],"affiliations":[{"raw_affiliation_string":"National Cheng Kung University,Institute of Computer and Communication Engineering,Department of Electrical Engineering,Tainan,Taiwan","institution_ids":["https://openalex.org/I91807558"]},{"raw_affiliation_string":"Department of Electrical Engineering, Institute of Computer and Communication Engineering, National Cheng Kung University, Tainan, Taiwan","institution_ids":["https://openalex.org/I91807558"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000566608","display_name":"Chia-Hsiang Lin","orcid":"https://orcid.org/0000-0002-4865-2329"},"institutions":[{"id":"https://openalex.org/I91807558","display_name":"National Cheng Kung University","ror":"https://ror.org/01b8kcc49","country_code":"TW","type":"education","lineage":["https://openalex.org/I91807558"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Chia-Hsiang Lin","raw_affiliation_strings":["National Cheng Kung University,Institute of Computer and Communication Engineering,Department of Electrical Engineering,Tainan,Taiwan","Miin Wu School of Computing, National Cheng Kung University, Tainan, Taiwan","Department of Electrical Engineering, Institute of Computer and Communication Engineering, National Cheng Kung University, Tainan, Taiwan"],"affiliations":[{"raw_affiliation_string":"National Cheng Kung University,Institute of Computer and Communication Engineering,Department of Electrical Engineering,Tainan,Taiwan","institution_ids":["https://openalex.org/I91807558"]},{"raw_affiliation_string":"Miin Wu School of Computing, National Cheng Kung University, Tainan, Taiwan","institution_ids":["https://openalex.org/I91807558"]},{"raw_affiliation_string":"Department of Electrical Engineering, Institute of Computer and Communication Engineering, National Cheng Kung University, Tainan, Taiwan","institution_ids":["https://openalex.org/I91807558"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5090604677","display_name":"Jhao-Ting Lin","orcid":"https://orcid.org/0000-0002-9950-0843"},"institutions":[{"id":"https://openalex.org/I91807558","display_name":"National Cheng Kung University","ror":"https://ror.org/01b8kcc49","country_code":"TW","type":"education","lineage":["https://openalex.org/I91807558"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Jhao-Ting Lin","raw_affiliation_strings":["National Cheng Kung University,Institute of Computer and Communication Engineering,Department of Electrical Engineering,Tainan,Taiwan","Department of Electrical Engineering, Institute of Computer and Communication Engineering, National Cheng Kung University, Tainan, Taiwan"],"affiliations":[{"raw_affiliation_string":"National Cheng Kung University,Institute of Computer and Communication Engineering,Department of Electrical Engineering,Tainan,Taiwan","institution_ids":["https://openalex.org/I91807558"]},{"raw_affiliation_string":"Department of Electrical Engineering, Institute of Computer and Communication Engineering, National Cheng Kung University, Tainan, Taiwan","institution_ids":["https://openalex.org/I91807558"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5081819310"],"corresponding_institution_ids":["https://openalex.org/I91807558"],"apc_list":null,"apc_paid":null,"fwci":0.3246,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.65039696,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"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":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":0.9886000156402588,"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":0.9797999858856201,"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":0.8105673789978027},{"id":"https://openalex.org/keywords/weighting","display_name":"Weighting","score":0.6297941207885742},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5905470252037048},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5700080990791321},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5398541688919067},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.5364376306533813},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.08612120151519775},{"id":"https://openalex.org/keywords/acoustics","display_name":"Acoustics","score":0.06492272019386292}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.8105673789978027},{"id":"https://openalex.org/C183115368","wikidata":"https://www.wikidata.org/wiki/Q856577","display_name":"Weighting","level":2,"score":0.6297941207885742},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5905470252037048},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5700080990791321},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5398541688919067},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.5364376306533813},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.08612120151519775},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.06492272019386292}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/whispers61460.2023.10431118","is_oa":false,"landing_page_url":"https://doi.org/10.1109/whispers61460.2023.10431118","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 13th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing (WHISPERS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/13","display_name":"Climate action","score":0.47999998927116394}],"awards":[],"funders":[{"id":"https://openalex.org/F4320331164","display_name":"National Science and Technology Council","ror":"https://ror.org/00wnb9798"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W2024288510","https://openalex.org/W2047870694","https://openalex.org/W2097381359","https://openalex.org/W2245855345","https://openalex.org/W2295576075","https://openalex.org/W2740976805","https://openalex.org/W2796629918","https://openalex.org/W2972480129","https://openalex.org/W3003955104","https://openalex.org/W3112037842","https://openalex.org/W3123098349","https://openalex.org/W3186256209","https://openalex.org/W4225850527","https://openalex.org/W4289656123","https://openalex.org/W4313048911","https://openalex.org/W4367663470","https://openalex.org/W4380785532"],"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/W2033914206","https://openalex.org/W2042327336"],"abstract_inverted_index":{"Hyperspectral":[0],"anomaly":[1,98],"detection":[2],"(HAD)":[3],"aims":[4],"to":[5,14,76,100],"classify":[6],"those":[7],"targets":[8],"with":[9,90],"distinctive":[10],"spectral":[11,23],"characteristics":[12],"compared":[13],"the":[15,39,45,50,78,83,108,116,119],"background.":[16],"Although":[17],"hyperspectral":[18],"images":[19],"(HSIs)":[20],"have":[21],"high":[22],"resolution":[24],"for":[25,96,107],"material":[26],"identification,":[27],"they":[28],"are":[29],"usually":[30],"accompanied":[31],"by":[32,44],"over":[33],"correlated":[34],"and":[35,55,102,124],"redundant":[36],"information.":[37],"Moreover,":[38],"mixed":[40],"pixel":[41],"phenomenon":[42],"caused":[43],"satellite":[46],"hardware":[47],"limitation":[48],"weakens":[49],"distinguishability":[51],"between":[52],"abnormal":[53],"pixels":[54],"their":[56],"surrounding":[57],"background":[58],"pixels,":[59],"making":[60],"HAD":[61],"a":[62,91],"challenging":[63],"inverse":[64],"problem.":[65],"This":[66],"paper":[67],"develops":[68],"an":[69],"unsupervised":[70],"cosine-weighting":[71],"deep":[72,87],"abundance-reconstruction":[73],"transformer":[74],"(CiDAR-Former)":[75],"address":[77],"aforementioned":[79],"issues.":[80],"CiDAR-Former":[81,121],"is":[82],"first":[84],"work":[85],"employing":[86],"learning,":[88],"together":[89],"trickily":[92],"designed":[93],"cosine-similarity":[94],"loss":[95],"suppressing":[97],"effects,":[99],"unsupervisedly":[101],"effectively":[103],"reconstruct":[104],"clean":[105],"abundances":[106],"subsequent":[109],"HAD.":[110],"Real":[111],"data":[112],"experiments":[113],"will":[114],"demonstrate":[115],"superiority":[117],"of":[118],"proposed":[120],"both":[122],"qualitatively":[123],"quantitatively.":[125]},"counts_by_year":[{"year":2024,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}