{"id":"https://openalex.org/W4321484053","doi":"https://doi.org/10.1109/lgrs.2023.3247793","title":"Adaptively Dictionary Construction for Hyperspectral Target Detection","display_name":"Adaptively Dictionary Construction for Hyperspectral Target Detection","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4321484053","doi":"https://doi.org/10.1109/lgrs.2023.3247793"},"language":"en","primary_location":{"id":"doi:10.1109/lgrs.2023.3247793","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2023.3247793","pdf_url":null,"source":{"id":"https://openalex.org/S126920919","display_name":"IEEE Geoscience and Remote Sensing Letters","issn_l":"1545-598X","issn":["1545-598X","1558-0571"],"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 Geoscience and Remote Sensing Letters","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/A5100703823","display_name":"Chenming Li","orcid":"https://orcid.org/0000-0003-0959-7600"},"institutions":[{"id":"https://openalex.org/I163340411","display_name":"Hohai University","ror":"https://ror.org/01wd4xt90","country_code":"CN","type":"education","lineage":["https://openalex.org/I163340411"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chenming Li","raw_affiliation_strings":["College of Computer and Information, Hohai University, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0003-0959-7600","affiliations":[{"raw_affiliation_string":"College of Computer and Information, Hohai University, Nanjing, China","institution_ids":["https://openalex.org/I163340411"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001263132","display_name":"Weibo Zhang","orcid":"https://orcid.org/0000-0002-0593-5855"},"institutions":[{"id":"https://openalex.org/I163340411","display_name":"Hohai University","ror":"https://ror.org/01wd4xt90","country_code":"CN","type":"education","lineage":["https://openalex.org/I163340411"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weibo Zhang","raw_affiliation_strings":["College of Computer and Information, Hohai University, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0002-0593-5855","affiliations":[{"raw_affiliation_string":"College of Computer and Information, Hohai University, Nanjing, China","institution_ids":["https://openalex.org/I163340411"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101397279","display_name":"Yiyan Zhang","orcid":"https://orcid.org/0000-0001-7584-381X"},"institutions":[{"id":"https://openalex.org/I163340411","display_name":"Hohai University","ror":"https://ror.org/01wd4xt90","country_code":"CN","type":"education","lineage":["https://openalex.org/I163340411"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yiyan Zhang","raw_affiliation_strings":["College of Computer and Information, Hohai University, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0001-7584-381X","affiliations":[{"raw_affiliation_string":"College of Computer and Information, Hohai University, Nanjing, China","institution_ids":["https://openalex.org/I163340411"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101407855","display_name":"Zhonghao Chen","orcid":"https://orcid.org/0000-0002-3524-2742"},"institutions":[{"id":"https://openalex.org/I163340411","display_name":"Hohai University","ror":"https://ror.org/01wd4xt90","country_code":"CN","type":"education","lineage":["https://openalex.org/I163340411"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhonghao Chen","raw_affiliation_strings":["College of Computer and Information, Hohai University, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0002-3524-2742","affiliations":[{"raw_affiliation_string":"College of Computer and Information, Hohai University, Nanjing, China","institution_ids":["https://openalex.org/I163340411"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5044826967","display_name":"Hongmin Gao","orcid":"https://orcid.org/0000-0002-8404-2464"},"institutions":[{"id":"https://openalex.org/I163340411","display_name":"Hohai University","ror":"https://ror.org/01wd4xt90","country_code":"CN","type":"education","lineage":["https://openalex.org/I163340411"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongmin Gao","raw_affiliation_strings":["College of Computer and Information, Hohai University, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0002-8404-2464","affiliations":[{"raw_affiliation_string":"College of Computer and Information, Hohai University, Nanjing, China","institution_ids":["https://openalex.org/I163340411"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I163340411"],"apc_list":null,"apc_paid":null,"fwci":1.656,"has_fulltext":false,"cited_by_count":16,"citation_normalized_percentile":{"value":0.84276406,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"20","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":0.9998000264167786,"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":0.9998000264167786,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.989799976348877,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12389","display_name":"Infrared Target Detection Methodologies","score":0.9897000193595886,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.8830376863479614},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6396048069000244},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4801620841026306},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.4270371198654175},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.40244120359420776},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3875746726989746},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.32935360074043274},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.183587908744812}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.8830376863479614},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6396048069000244},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4801620841026306},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.4270371198654175},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.40244120359420776},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3875746726989746},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.32935360074043274},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.183587908744812}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lgrs.2023.3247793","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2023.3247793","pdf_url":null,"source":{"id":"https://openalex.org/S126920919","display_name":"IEEE Geoscience and Remote Sensing Letters","issn_l":"1545-598X","issn":["1545-598X","1558-0571"],"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 Geoscience and Remote Sensing Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1812132384","display_name":null,"funder_award_id":"2021M690885","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"},{"id":"https://openalex.org/G2100995429","display_name":null,"funder_award_id":"BK20211201","funder_id":"https://openalex.org/F4320322769","funder_display_name":"Natural Science Foundation of Jiangsu Province"},{"id":"https://openalex.org/G4658630977","display_name":null,"funder_award_id":"62071168","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/F4320321543","display_name":"China Postdoctoral Science Foundation","ror":"https://ror.org/0426zh255"},{"id":"https://openalex.org/F4320322769","display_name":"Natural Science Foundation of Jiangsu Province","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W625476304","https://openalex.org/W1999478155","https://openalex.org/W2009539575","https://openalex.org/W2019985866","https://openalex.org/W2037143195","https://openalex.org/W2067782748","https://openalex.org/W2127271355","https://openalex.org/W2163957348","https://openalex.org/W2922177059","https://openalex.org/W3033502405","https://openalex.org/W3047443805","https://openalex.org/W3048631361","https://openalex.org/W3102692100","https://openalex.org/W3103315784","https://openalex.org/W3103695279","https://openalex.org/W3123392265","https://openalex.org/W3195427195","https://openalex.org/W3195547108","https://openalex.org/W3217071007"],"related_works":["https://openalex.org/W2072166414","https://openalex.org/W3209970181","https://openalex.org/W2070598848","https://openalex.org/W3034375524","https://openalex.org/W2060875994","https://openalex.org/W2027399350","https://openalex.org/W2385371209","https://openalex.org/W4250051149","https://openalex.org/W2083270190","https://openalex.org/W1991437568"],"abstract_inverted_index":{"The":[0,34],"task":[1],"of":[2,23,36,58,65,152,185,201],"hyperspectral":[3,31],"images":[4],"(HSIs)":[5],"target":[6,13,32,70,96,136,187],"detection":[7,137],"is":[8,126,143,179],"to":[9,88,108,145,181],"identify":[10],"whether":[11,41],"the":[12,18,21,42,51,55,63,69,73,89,95,98,140,147,177,183,186,199,202],"spectral":[14,92],"sequences":[15],"present":[16],"in":[17,30,104,128],"HSI.":[19],"Recently,":[20],"topic":[22],"representation":[24,37,80,100,123],"models":[25,38,60,81,101],"has":[26],"received":[27],"much":[28],"interest":[29],"detection.":[33],"performance":[35],"depends":[39],"on":[40,195],"corresponding":[43],"dictionary":[44,57,74,115,133],"and":[45,97,188],"sparse":[46,122],"matrix":[47],"can":[48,159,169],"correctly":[49],"recover":[50],"original":[52],"spectrum.":[53],"Therefore,":[54],"background":[56,105,120,173,189],"these":[59,110],"should":[61,75],"contain":[62],"spectra":[64],"all":[66],"classes":[67],"except":[68],"spectrum;":[71],"i.e.,":[72],"be":[76,160],"overcomplete.":[77],"However,":[78],"most":[79],"cannot":[82],"satisfy":[83],"this":[84,129],"condition.":[85],"Moreover,":[86],"due":[87],"potentially":[90],"large":[91],"similarity":[93],"between":[94],"background,":[99],"perform":[102],"poorly":[103],"suppression.":[106],"Aiming":[107],"solve":[109],"issues,":[111],"a":[112,191],"novel":[113],"adaptively":[114,132],"construction":[116,134],"(ADC)":[117],"strategy":[118],"with":[119,154],"suppression":[121],"(BSSR)":[124],"module":[125],"proposed":[127,141,203],"letter,":[130],"called":[131],"for":[135],"(ADCTD).":[138],"Specifically,":[139],"ADC":[142],"adopted":[144,180],"segment":[146],"HSI":[148],"into":[149],"superpixels":[150],"consisting":[151],"pixels":[153],"similar":[155],"spectra.":[156],"This":[157],"process":[158],"considered":[161],"as":[162],"an":[163,171],"unsupervised":[164],"coarse":[165],"classification":[166],"process,":[167],"which":[168],"construct":[170],"overcomplete":[172],"dictionary.":[174],"In":[175],"addition,":[176],"BSSR":[178],"improve":[182],"separation":[184],"by":[190],"linear":[192],"function.":[193],"Experiments":[194],"three":[196],"datasets":[197],"demonstrate":[198],"superiority":[200],"ADCTD.":[204]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":5}],"updated_date":"2026-08-12T21:12:35.861297","created_date":"2025-10-10T00:00:00"}
