{"id":"https://openalex.org/W4406857995","doi":"https://doi.org/10.1109/tgrs.2025.3534185","title":"Contrastive Self-Supervised Learning-Based Background Reconstruction for Hyperspectral Anomaly Detection","display_name":"Contrastive Self-Supervised Learning-Based Background Reconstruction for Hyperspectral Anomaly Detection","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4406857995","doi":"https://doi.org/10.1109/tgrs.2025.3534185"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2025.3534185","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2025.3534185","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/A5000241520","display_name":"Xiaoming Sun","orcid":"https://orcid.org/0000-0002-0281-1670"},"institutions":[{"id":"https://openalex.org/I3124059619","display_name":"China University of Geosciences","ror":"https://ror.org/04gcegc37","country_code":"CN","type":"education","lineage":["https://openalex.org/I3124059619"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoming Sun","raw_affiliation_strings":["School of Geophysics and Geomatics, China University of Geosciences, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Geophysics and Geomatics, China University of Geosciences, Wuhan, China","institution_ids":["https://openalex.org/I3124059619"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054256790","display_name":"Yuxiang Zhang","orcid":"https://orcid.org/0000-0002-2913-3515"},"institutions":[{"id":"https://openalex.org/I3124059619","display_name":"China University of Geosciences","ror":"https://ror.org/04gcegc37","country_code":"CN","type":"education","lineage":["https://openalex.org/I3124059619"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuxiang Zhang","raw_affiliation_strings":["School of Geophysics and Geomatics, China University of Geosciences, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0002-2913-3515","affiliations":[{"raw_affiliation_string":"School of Geophysics and Geomatics, China University of Geosciences, Wuhan, China","institution_ids":["https://openalex.org/I3124059619"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084097095","display_name":"Yanni Dong","orcid":"https://orcid.org/0000-0003-0592-7887"},"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":"Yanni Dong","raw_affiliation_strings":["School of Resource and Environmental Sciences, Wuhan University, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0003-0592-7887","affiliations":[{"raw_affiliation_string":"School of Resource and Environmental Sciences, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5060042752","display_name":"Bo Du","orcid":"https://orcid.org/0000-0002-0059-8458"},"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":"Bo Du","raw_affiliation_strings":["School of Computer Science, Wuhan University, Wuhan, China","School of computer, Wuhan University, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0002-0059-8458","affiliations":[{"raw_affiliation_string":"School of Computer Science, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]},{"raw_affiliation_string":"School of computer, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":5.3337,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.95329326,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":98},"biblio":{"volume":"63","issue":null,"first_page":"1","last_page":"12"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9386000037193298,"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":0.9386000037193298,"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":0.8062262535095215},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.6731981635093689},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5670745372772217},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.536900520324707},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.48659002780914307},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4342609643936157},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.24482449889183044}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.8062262535095215},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.6731981635093689},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5670745372772217},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.536900520324707},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.48659002780914307},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4342609643936157},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.24482449889183044}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tgrs.2025.3534185","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2025.3534185","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/G1836220556","display_name":null,"funder_award_id":"62225113","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2560404359","display_name":"\u591a\u4efb\u52a1\u6df1\u5ea6\u5b66\u4e60\u9a71\u52a8\u7684\u9ad8\u5149\u8c31\u9065\u611f\u56fe\u50cf\u4e9a\u50cf\u5143\u76ee\u6807\u63a2\u6d4b\u7406\u8bba\u7814\u7a76","funder_award_id":"62071438","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6175404752","display_name":null,"funder_award_id":"62171417","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7212707990","display_name":null,"funder_award_id":"2024T008","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G949604467","display_name":null,"funder_award_id":"62222116","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"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":68,"referenced_works":["https://openalex.org/W2000361322","https://openalex.org/W2004491663","https://openalex.org/W2024288510","https://openalex.org/W2047870694","https://openalex.org/W2078296814","https://openalex.org/W2088312560","https://openalex.org/W2103559027","https://openalex.org/W2124463804","https://openalex.org/W2147042314","https://openalex.org/W2288752886","https://openalex.org/W2424277038","https://openalex.org/W2796629918","https://openalex.org/W2973454555","https://openalex.org/W2975506318","https://openalex.org/W2988878652","https://openalex.org/W3008839601","https://openalex.org/W3034493263","https://openalex.org/W3034781633","https://openalex.org/W3035524453","https://openalex.org/W3035725276","https://openalex.org/W3045794825","https://openalex.org/W3080792885","https://openalex.org/W3094502228","https://openalex.org/W3096831136","https://openalex.org/W3137199127","https://openalex.org/W3153686193","https://openalex.org/W3157052017","https://openalex.org/W3159481202","https://openalex.org/W3164714368","https://openalex.org/W3196594491","https://openalex.org/W4200272877","https://openalex.org/W4210576732","https://openalex.org/W4212800897","https://openalex.org/W4224261559","https://openalex.org/W4233367343","https://openalex.org/W4282929851","https://openalex.org/W4283697304","https://openalex.org/W4296210064","https://openalex.org/W4312572145","https://openalex.org/W4312789082","https://openalex.org/W4313048911","https://openalex.org/W4313156423","https://openalex.org/W4321380750","https://openalex.org/W4322576316","https://openalex.org/W4322576350","https://openalex.org/W4327663519","https://openalex.org/W4366493021","https://openalex.org/W4376607587","https://openalex.org/W4378377586","https://openalex.org/W4382930467","https://openalex.org/W4385627047","https://openalex.org/W4386766977","https://openalex.org/W4390097224","https://openalex.org/W4390187403","https://openalex.org/W4390347709","https://openalex.org/W4390873265","https://openalex.org/W4391956372","https://openalex.org/W4392827747","https://openalex.org/W4394938929","https://openalex.org/W4394938943","https://openalex.org/W4399426429","https://openalex.org/W4400351888","https://openalex.org/W4401705603","https://openalex.org/W6739901393","https://openalex.org/W6777837344","https://openalex.org/W6779326418","https://openalex.org/W6787655056","https://openalex.org/W6796761347"],"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/W2385371209","https://openalex.org/W4250051149","https://openalex.org/W2083270190","https://openalex.org/W2033914206","https://openalex.org/W2042327336"],"abstract_inverted_index":{"Deep":[0],"learning":[1,120],"(DL)":[2],"has":[3,20],"received":[4],"a":[5,49,61,67,74,130],"lot":[6],"of":[7,27],"attention":[8,76,104],"in":[9,14,23,36],"hyperspectral":[10,157],"anomaly":[11],"detection":[12],"(HAD)":[13],"recent":[15],"years.":[16],"While":[17],"some":[18],"progress":[19],"been":[21],"made":[22],"boosting":[24],"the":[25,80,98,109,114,126,146,161],"generalization":[26],"DL-based":[28],"HAD":[29,57,151],"methods,":[30],"existing":[31],"methods":[32],"still":[33],"face":[34],"limitations":[35],"labeled":[37,89],"sample":[38,90],"generation":[39],"or":[40],"transfer":[41,119,145],"flexibility.":[42],"To":[43],"address":[44],"these":[45],"issues,":[46],"we":[47],"propose":[48],"contrastive":[50],"self-supervised":[51,62],"learning-based":[52],"background":[53,86,138],"reconstruction":[54,139],"method":[55,163],"for":[56],"(CSSBR).":[58],"By":[59],"constructing":[60],"pretraining":[63,81],"model":[64,82,121,148],"based":[65,124],"on":[66,125,154],"pixel-":[68],"and":[69,73,102,113,129],"patch-level":[70],"masking":[71],"strategy":[72],"dual":[75],"network":[77],"(DAN)":[78],"encoder,":[79],"can":[83],"learn":[84],"general":[85],"representation":[87],"without":[88],"generation.":[91],"The":[92],"DAN":[93,127],"encoder":[94,128],"is":[95,122,134],"constructed":[96,123],"by":[97,137],"vision":[99],"transformer":[100],"(ViT)":[101],"channel":[103],"module":[105],"(CAM)":[106],"to":[107,143,149],"extract":[108],"global":[110],"context":[111],"information":[112],"correlation":[115],"between":[116],"spectra.":[117],"A":[118],"lightweight":[131],"decoder,":[132],"which":[133],"simply":[135],"fine-tuned":[136],"guided":[140],"(BRG)":[141],"loss":[142],"flexibly":[144],"pretrained":[147],"various":[150],"tasks.":[152],"Experiments":[153],"four":[155],"challenging":[156],"datasets":[158],"confirm":[159],"that":[160],"CSSBR":[162],"outperforms":[164],"other":[165],"state-of-the-art":[166],"methods.":[167]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":5}],"updated_date":"2025-12-27T23:08:20.325037","created_date":"2025-10-10T00:00:00"}