{"id":"https://openalex.org/W4385627047","doi":"https://doi.org/10.1109/tgrs.2023.3302950","title":"Hyperspectral Target Detection Based on Interpretable Representation Network","display_name":"Hyperspectral Target Detection Based on Interpretable Representation Network","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4385627047","doi":"https://doi.org/10.1109/tgrs.2023.3302950"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2023.3302950","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2023.3302950","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/A5085906396","display_name":"Dunbin Shen","orcid":"https://orcid.org/0000-0001-9744-9223"},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dunbin Shen","raw_affiliation_strings":["School of Information and Communication Engineering, Dalian University of Technology, Dalian, China"],"raw_orcid":"https://orcid.org/0000-0001-9744-9223","affiliations":[{"raw_affiliation_string":"School of Information and Communication Engineering, Dalian University of Technology, Dalian, China","institution_ids":["https://openalex.org/I27357992"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087248518","display_name":"Xiaorui Ma","orcid":"https://orcid.org/0000-0001-7697-2285"},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaorui Ma","raw_affiliation_strings":["School of Information and Communication Engineering, Dalian University of Technology, Dalian, China"],"raw_orcid":"https://orcid.org/0000-0001-7697-2285","affiliations":[{"raw_affiliation_string":"School of Information and Communication Engineering, Dalian University of Technology, Dalian, China","institution_ids":["https://openalex.org/I27357992"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034010720","display_name":"Wenfeng Kong","orcid":"https://orcid.org/0000-0001-6147-1664"},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenfeng Kong","raw_affiliation_strings":["School of Information and Communication Engineering, Dalian University of Technology, Dalian, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information and Communication Engineering, Dalian University of Technology, Dalian, China","institution_ids":["https://openalex.org/I27357992"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018617993","display_name":"Jianjun Liu","orcid":"https://orcid.org/0000-0003-0778-9094"},"institutions":[{"id":"https://openalex.org/I111599522","display_name":"Jiangnan University","ror":"https://ror.org/04mkzax54","country_code":"CN","type":"education","lineage":["https://openalex.org/I111599522"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianjun Liu","raw_affiliation_strings":["Jiangsu Provincial Engineering Laboratory for Pattern Recognition and Computational Intelligence, Jiangnan University, Wuxi, China"],"raw_orcid":"https://orcid.org/0000-0003-0778-9094","affiliations":[{"raw_affiliation_string":"Jiangsu Provincial Engineering Laboratory for Pattern Recognition and Computational Intelligence, Jiangnan University, Wuxi, China","institution_ids":["https://openalex.org/I111599522"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100440164","display_name":"Jie Wang","orcid":"https://orcid.org/0000-0003-1172-1551"},"institutions":[{"id":"https://openalex.org/I43313876","display_name":"Dalian Maritime University","ror":"https://ror.org/002b7nr53","country_code":"CN","type":"education","lineage":["https://openalex.org/I43313876"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jie Wang","raw_affiliation_strings":["School of Information Science and Technology, Dalian Maritime University, Dalian, China"],"raw_orcid":"https://orcid.org/0000-0003-1172-1551","affiliations":[{"raw_affiliation_string":"School of Information Science and Technology, Dalian Maritime University, Dalian, China","institution_ids":["https://openalex.org/I43313876"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100422639","display_name":"Hongyu Wang","orcid":"https://orcid.org/0000-0002-1038-412X"},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongyu Wang","raw_affiliation_strings":["School of Information and Communication Engineering, Dalian University of Technology, Dalian, China"],"raw_orcid":"https://orcid.org/0000-0002-1038-412X","affiliations":[{"raw_affiliation_string":"School of Information and Communication Engineering, Dalian University of Technology, Dalian, China","institution_ids":["https://openalex.org/I27357992"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":8.4831,"has_fulltext":false,"cited_by_count":59,"citation_normalized_percentile":{"value":0.98083535,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":"61","issue":null,"first_page":"1","last_page":"16"},"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/T12389","display_name":"Infrared Target Detection Methodologies","score":0.9915000200271606,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"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":0.9905999898910522,"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":0.7709711790084839},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7181955575942993},{"id":"https://openalex.org/keywords/subspace-topology","display_name":"Subspace topology","score":0.6660213470458984},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6369650363922119},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5967937111854553},{"id":"https://openalex.org/keywords/interpretability","display_name":"Interpretability","score":0.569729208946228},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5321205258369446},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.4964502453804016},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.470402330160141},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4556591212749481},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.42822128534317017},{"id":"https://openalex.org/keywords/prior-probability","display_name":"Prior probability","score":0.4121689796447754},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.37071871757507324},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.34143561124801636},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.2736251950263977}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.7709711790084839},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7181955575942993},{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.6660213470458984},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6369650363922119},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5967937111854553},{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.569729208946228},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5321205258369446},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.4964502453804016},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.470402330160141},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4556591212749481},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.42822128534317017},{"id":"https://openalex.org/C177769412","wikidata":"https://www.wikidata.org/wiki/Q278090","display_name":"Prior probability","level":3,"score":0.4121689796447754},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.37071871757507324},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.34143561124801636},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.2736251950263977},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tgrs.2023.3302950","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2023.3302950","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":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.5899999737739563}],"awards":[{"id":"https://openalex.org/G3154331942","display_name":null,"funder_award_id":"2022JJ11CG002","funder_id":"https://openalex.org/F4320336584","funder_display_name":"Dalian Science and Technology Innovation Fund"},{"id":"https://openalex.org/G4702322160","display_name":"\u8de8\u573a\u666f\u591a\u76ee\u6807\u667a\u80fd\u65e0\u7ebf\u611f\u77e5\u65b9\u6cd5\u7814\u7a76","funder_award_id":"62071081","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G604931949","display_name":null,"funder_award_id":"62271102","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"},{"id":"https://openalex.org/F4320336584","display_name":"Dalian Science and Technology Innovation Fund","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":83,"referenced_works":["https://openalex.org/W625476304","https://openalex.org/W1522301498","https://openalex.org/W1899348529","https://openalex.org/W1901129140","https://openalex.org/W1921523184","https://openalex.org/W1964570608","https://openalex.org/W1991190032","https://openalex.org/W1994040806","https://openalex.org/W2010319424","https://openalex.org/W2028740150","https://openalex.org/W2035424729","https://openalex.org/W2037143195","https://openalex.org/W2047096209","https://openalex.org/W2047870694","https://openalex.org/W2087263574","https://openalex.org/W2097915756","https://openalex.org/W2099301440","https://openalex.org/W2107014267","https://openalex.org/W2120832559","https://openalex.org/W2125341398","https://openalex.org/W2125542807","https://openalex.org/W2145828059","https://openalex.org/W2149936180","https://openalex.org/W2154236340","https://openalex.org/W2163957348","https://openalex.org/W2164368986","https://openalex.org/W2166682552","https://openalex.org/W2166864699","https://openalex.org/W2194775991","https://openalex.org/W2288987301","https://openalex.org/W2295576075","https://openalex.org/W2422278448","https://openalex.org/W2436131245","https://openalex.org/W2507498837","https://openalex.org/W2549107715","https://openalex.org/W2562461367","https://openalex.org/W2590856740","https://openalex.org/W2592785330","https://openalex.org/W2740976805","https://openalex.org/W2748530166","https://openalex.org/W2752782242","https://openalex.org/W2756635220","https://openalex.org/W2765855211","https://openalex.org/W2768241383","https://openalex.org/W2772028350","https://openalex.org/W2792249172","https://openalex.org/W2884585870","https://openalex.org/W2899663614","https://openalex.org/W2922095228","https://openalex.org/W2942454403","https://openalex.org/W2948763898","https://openalex.org/W2982545969","https://openalex.org/W3021150190","https://openalex.org/W3045657924","https://openalex.org/W3087782035","https://openalex.org/W3087883793","https://openalex.org/W3087931076","https://openalex.org/W3097141235","https://openalex.org/W3100364246","https://openalex.org/W3110749113","https://openalex.org/W3120451664","https://openalex.org/W3123995827","https://openalex.org/W3164822871","https://openalex.org/W3186917005","https://openalex.org/W4205124618","https://openalex.org/W4205589322","https://openalex.org/W4206550575","https://openalex.org/W4206721029","https://openalex.org/W4210763428","https://openalex.org/W4214751062","https://openalex.org/W4225672218","https://openalex.org/W4225688999","https://openalex.org/W4285199914","https://openalex.org/W4289656123","https://openalex.org/W4385245566","https://openalex.org/W6631190155","https://openalex.org/W6639824700","https://openalex.org/W6640185926","https://openalex.org/W6681956581","https://openalex.org/W6684592417","https://openalex.org/W6739901393","https://openalex.org/W6753412334","https://openalex.org/W6755977528"],"related_works":["https://openalex.org/W2905433371","https://openalex.org/W2888392564","https://openalex.org/W4310278675","https://openalex.org/W4388422664","https://openalex.org/W4390569940","https://openalex.org/W4361193272","https://openalex.org/W2963326959","https://openalex.org/W4388685194","https://openalex.org/W4312407344","https://openalex.org/W2894289927"],"abstract_inverted_index":{"Hyperspectral":[0],"target":[1,92,154],"detection":[2],"(HTD)":[3],"is":[4,85,120,143,162,179],"an":[5,62],"important":[6],"issue":[7],"in":[8,13],"earth":[9],"observation,":[10],"with":[11],"applications":[12],"both":[14],"military":[15],"and":[16,46,76,91,110,151],"civilian":[17],"domains.":[18],"However,":[19],"conventional":[20],"representation-based":[21],"detectors":[22],"are":[23],"hindered":[24],"by":[25,122,145],"the":[26,29,33,41,47,89,95,107,114,132,147,153,159],"reliance":[27],"on":[28,52,164],"unknown":[30],"background":[31,90,96,149],"dictionary,":[32],"limited":[34],"ability":[35],"to":[36,87,104,130],"capture":[37],"nonlinear":[38,73,108],"representations":[39],"using":[40],"linear":[42],"mixing":[43],"model":[44],"(LMM),":[45],"insufficient":[48],"background-target":[49],"recognition":[50],"based":[51],"handcrafted":[53],"priors.":[54],"To":[55],"address":[56],"these":[57],"problems,":[58],"this":[59,177],"paper":[60],"proposes":[61],"interpretable":[63],"representation":[64,83,109],"network":[65,84],"that":[66],"intuitively":[67],"realizes":[68],"LMM":[69],"for":[70,134,176,183],"HTD,":[71],"making":[72],"feature":[74,125],"expression":[75],"physical":[77],"interpretability":[78],"compatible.":[79],"Specifically,":[80],"a":[81,116,137],"subspace":[82,97],"designed":[86],"separate":[88],"components,":[93],"where":[94],"can":[98],"be":[99],"adaptively":[100],"learned.":[101],"In":[102],"addition,":[103],"further":[105],"enhance":[106],"more":[111],"accurately":[112],"learn":[113],"coefficients,":[115],"lightweight":[117],"multi-scale":[118],"Transformer":[119],"proposed":[121,160],"modeling":[123],"long-distance":[124],"dependencies":[126],"between":[127],"channels.":[128],"Furthermore,":[129],"supplement":[131],"depiction":[133],"target-background":[135],"discrimination,":[136],"constrained":[138],"energy":[139,150],"minimization":[140],"(CEM)":[141],"loss":[142],"tailored":[144],"minimizing":[146],"output":[148],"maximizing":[152],"response.":[155],"The":[156,174],"effectiveness":[157],"of":[158],"method":[161],"demonstrated":[163],"four":[165],"benchmark":[166],"datasets,":[167],"showing":[168],"its":[169],"superiority":[170],"over":[171],"state-of-the-art":[172],"methods.":[173],"code":[175],"work":[178],"available":[180],"at":[181],"https://github.com/shendb2022/HTD-IRN":[182],"reproducibility":[184],"purposes.":[185]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":37},{"year":2024,"cited_by_count":16},{"year":2023,"cited_by_count":2}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}