{"id":"https://openalex.org/W4408092277","doi":"https://doi.org/10.1109/tgrs.2025.3547381","title":"FS<sup>2</sup>CCTrans: Frequency\u2013Spatial\u2013Spectral Joint Analysis With Criss-Cross Transformer for Hyperspectral Anomaly Detection","display_name":"FS<sup>2</sup>CCTrans: Frequency\u2013Spatial\u2013Spectral Joint Analysis With Criss-Cross Transformer for Hyperspectral Anomaly Detection","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4408092277","doi":"https://doi.org/10.1109/tgrs.2025.3547381"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2025.3547381","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2025.3547381","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/A5078255736","display_name":"G. Zhang","orcid":"https://orcid.org/0009-0000-0932-1642"},"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":true,"raw_author_name":"Guorong Zhang","raw_affiliation_strings":["Electronic Information School, Wuhan University, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"Electronic Information School, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054460365","display_name":"Tao Sun","orcid":"https://orcid.org/0000-0003-3422-1226"},"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":"Tao Sun","raw_affiliation_strings":["Electronic Information School, Wuhan University, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"Electronic Information School, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001374018","display_name":"Fangxiao Lu","orcid":"https://orcid.org/0000-0002-5465-0354"},"institutions":[{"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"]},{"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":"Fangxiao Lu","raw_affiliation_strings":["State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, China"],"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/I4210118728","https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002395584","display_name":"Shaoquan Zhang","orcid":"https://orcid.org/0000-0002-1454-9665"},"institutions":[{"id":"https://openalex.org/I141103825","display_name":"Nanchang Institute of Technology","ror":"https://ror.org/00avfj807","country_code":"CN","type":"education","lineage":["https://openalex.org/I141103825"]},{"id":"https://openalex.org/I4210140142","display_name":"Jiangxi Provincial Institute of Water Resources Planning and Design","ror":"https://ror.org/043my4k18","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210140142"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shaoquan Zhang","raw_affiliation_strings":["Jiangxi Province Key Laboratory of Smart Water Conservancy, School of Information Engineering, Nanchang Institute of Technology, Nanchang, China","School of Information Engineering, Jiangxi Province Key Laboratory of Smart Water Conservancy, Nanchang Institute of Technology, Nanchang, China"],"affiliations":[{"raw_affiliation_string":"Jiangxi Province Key Laboratory of Smart Water Conservancy, School of Information Engineering, Nanchang Institute of Technology, Nanchang, China","institution_ids":["https://openalex.org/I141103825","https://openalex.org/I4210140142"]},{"raw_affiliation_string":"School of Information Engineering, Jiangxi Province Key Laboratory of Smart Water Conservancy, Nanchang Institute of Technology, Nanchang, China","institution_ids":["https://openalex.org/I141103825"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029500638","display_name":"Jie Yin","orcid":"https://orcid.org/0000-0001-9921-708X"},"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":"Jie Yin","raw_affiliation_strings":["Electronic Information School, Wuhan University, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"Electronic Information School, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101758310","display_name":"Yuhao Wu","orcid":"https://orcid.org/0000-0001-6142-8172"},"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":"Yuhao Wu","raw_affiliation_strings":["Electronic Information School, Wuhan University, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"Electronic Information School, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5089495475","display_name":"Zhengqiang Xiong","orcid":"https://orcid.org/0000-0002-8688-4980"},"institutions":[{"id":"https://openalex.org/I4210111616","display_name":"Wuhan Business University","ror":"https://ror.org/0282ggx30","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210111616"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhengqiang Xiong","raw_affiliation_strings":["Electromechanical Engineering School, Wuhan Business University, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"Electromechanical Engineering School, Wuhan Business University, Wuhan, China","institution_ids":["https://openalex.org/I4210111616"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5078255736"],"corresponding_institution_ids":["https://openalex.org/I37461747"],"apc_list":null,"apc_paid":null,"fwci":3.6013,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.9234822,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":97},"biblio":{"volume":"63","issue":null,"first_page":"1","last_page":"18"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9269999861717224,"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":0.9269999861717224,"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":0.8902183771133423},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.5598188638687134},{"id":"https://openalex.org/keywords/spectral-analysis","display_name":"Spectral analysis","score":0.48324355483055115},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.4515107274055481},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.3387894630432129},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.26374125480651855},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.2156715989112854},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.19753193855285645},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.17334967851638794},{"id":"https://openalex.org/keywords/spectroscopy","display_name":"Spectroscopy","score":0.1151532232761383},{"id":"https://openalex.org/keywords/astronomy","display_name":"Astronomy","score":0.08623787760734558}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.8902183771133423},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.5598188638687134},{"id":"https://openalex.org/C2983668108","wikidata":"https://www.wikidata.org/wiki/Q280453","display_name":"Spectral analysis","level":3,"score":0.48324355483055115},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.4515107274055481},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.3387894630432129},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.26374125480651855},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.2156715989112854},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.19753193855285645},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.17334967851638794},{"id":"https://openalex.org/C32891209","wikidata":"https://www.wikidata.org/wiki/Q483666","display_name":"Spectroscopy","level":2,"score":0.1151532232761383},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.08623787760734558}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tgrs.2025.3547381","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2025.3547381","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":[{"display_name":"Climate action","id":"https://metadata.un.org/sdg/13","score":0.4099999964237213}],"awards":[{"id":"https://openalex.org/G3476975235","display_name":null,"funder_award_id":"20224ACB202002, 20224BAB202007, 20232BAB202039","funder_id":"https://openalex.org/F4320322665","funder_display_name":"Natural Science Foundation of Jiangxi Province"},{"id":"https://openalex.org/G6532013106","display_name":null,"funder_award_id":"62361042","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7190607129","display_name":null,"funder_award_id":"20225BCJ23019","funder_id":"https://openalex.org/F4320327525","funder_display_name":"Major Discipline Academic and Technical Leaders Training Program of Jiangxi Province"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322665","display_name":"Natural Science Foundation of Jiangxi Province","ror":null},{"id":"https://openalex.org/F4320327525","display_name":"Major Discipline Academic and Technical Leaders Training Program of Jiangxi Province","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":42,"referenced_works":["https://openalex.org/W2004491663","https://openalex.org/W2024288510","https://openalex.org/W2040078680","https://openalex.org/W2047870694","https://openalex.org/W2129498797","https://openalex.org/W2152233525","https://openalex.org/W2898121906","https://openalex.org/W2914527789","https://openalex.org/W2952956606","https://openalex.org/W2972480129","https://openalex.org/W2981689412","https://openalex.org/W2983563481","https://openalex.org/W3007076381","https://openalex.org/W3034053233","https://openalex.org/W3044881600","https://openalex.org/W3075397214","https://openalex.org/W3087883793","https://openalex.org/W3123098349","https://openalex.org/W3132605608","https://openalex.org/W3137199127","https://openalex.org/W3139578059","https://openalex.org/W3153686193","https://openalex.org/W3156696558","https://openalex.org/W3164714368","https://openalex.org/W3186256209","https://openalex.org/W3195044646","https://openalex.org/W3199351457","https://openalex.org/W4200080982","https://openalex.org/W4200272877","https://openalex.org/W4210692941","https://openalex.org/W4226401714","https://openalex.org/W4282929851","https://openalex.org/W4285303228","https://openalex.org/W4296210064","https://openalex.org/W4312289230","https://openalex.org/W4312730569","https://openalex.org/W4313590927","https://openalex.org/W4316013182","https://openalex.org/W4318707911","https://openalex.org/W4319866034","https://openalex.org/W4322576316","https://openalex.org/W6631190155"],"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/W2385371209","https://openalex.org/W4250051149","https://openalex.org/W2083270190"],"abstract_inverted_index":{"The":[0,14,134,183],"distinguishability":[1],"between":[2],"background":[3,17,127,156,162,175],"and":[4,18,85,126,131,149,180,219,247],"anomaly":[5,11,19,101,125],"is":[6,31,108,117,167,192],"significant":[7],"for":[8,52],"accurate":[9],"hyperspectral":[10],"detection":[12],"(HAD).":[13],"property":[15],"that":[16,48,169,238],"are":[20],"characterized":[21],"as":[22],"signals":[23],"with":[24,213],"distinct":[25],"differences":[26],"in":[27,128,140,176],"the":[28,59,103,121,137,141,164,174,200,223,239],"frequency":[29,104],"domain":[30,83,105],"of":[32,124,143,173,198,225],"great":[33],"value,":[34],"however,":[35],"existing":[36],"HAD":[37,53,78],"algorithms":[38],"rarely":[39],"consider":[40],"this.":[41],"In":[42],"addition,":[43],"deep":[44],"learning":[45],"(DL)-based":[46],"methods":[47,216],"exploit":[49],"reconstruction":[50],"errors":[51],"can":[54],"inadvertently":[55],"reconstruct":[56,150],"anomalies":[57],"alongside":[58],"background,":[60],"leading":[61],"to":[62,99,147],"a":[63,76,154,160,177],"high":[64],"false":[65],"alarm":[66],"rate":[67],"(FAR).":[68],"To":[69,158],"address":[70],"these":[71],"challenges,":[72],"this":[73],"study":[74],"proposes":[75],"novel":[77],"model":[79,138],"based":[80],"on":[81,194,217],"frequency-spatial\u2013spectral":[82],"analysis":[84,106],"criss-cross":[86,188,204],"transformer":[87],"(CCTrans),":[88],"named":[89],"F<inline-formula":[90,226],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[91,227],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">":[92,228],"<tex-math":[93,229],"notation=\"LaTeX\">$\\mathbf":[94,230],"{S}^{\\mathbf":[95,231],"{2}}$":[96,232],"</tex-math></inline-formula>CCTrans.":[97,233],"Specifically,":[98],"suppress":[100],"reconstruction,":[102],"paradigm":[107],"integrated":[109],"into":[110],"HAD,":[111],"an":[112,186],"advanced":[113],"saliency":[114],"map":[115],"(SM)":[116],"constructed":[118],"by":[119],"analyzing":[120],"discriminative":[122],"characteristics":[123],"both":[129],"amplitude":[130],"phase":[132],"spectrum.":[133],"SM":[135],"guides":[136],"training":[139],"direction":[142],"suppressing":[144],"its":[145,203,253],"capability":[146],"express":[148],"anomalies,":[151],"thereby":[152],"obtaining":[153],"pure":[155],"estimate.":[157],"craft":[159],"superb":[161],"generator,":[163],"CCTrans":[165,184,240],"network":[166],"designed":[168],"captures":[170],"spatial-spectral":[171],"features":[172],"very":[178],"effective":[179],"efficient":[181],"way.":[182],"incorporates":[185],"ingenious":[187],"attention":[189],"mechanism,":[190],"which":[191],"focused":[193],"aggregating":[195],"contextual":[196],"information":[197],"all":[199],"pixels":[201],"along":[202],"path,":[205],"thus":[206],"significantly":[207],"decreasing":[208],"computational":[209],"burden.":[210],"Extensive":[211],"comparisons":[212],"eight":[214],"state-of-the-art":[215],"synthetic":[218],"real":[220],"datasets":[221],"demonstrate":[222],"superiority":[224],"Meanwhile,":[234],"ablation":[235],"studies":[236],"reveal":[237],"requires":[241],"about":[242,248],"68%":[243],"less":[244],"GPU":[245],"memory":[246],"58%":[249],"fewer":[250],"FLOPs,":[251],"highlighting":[252],"efficiency.":[254]},"counts_by_year":[{"year":2025,"cited_by_count":3}],"updated_date":"2025-12-19T19:40:27.379048","created_date":"2025-10-10T00:00:00"}
