{"id":"https://openalex.org/W2940693183","doi":"https://doi.org/10.1109/lgrs.2019.2908196","title":"Multi-task Joint Sparse and Low-rank Representation Target Detection for Hyperspectral Image","display_name":"Multi-task Joint Sparse and Low-rank Representation Target Detection for Hyperspectral Image","publication_year":2019,"publication_date":"2019-04-25","ids":{"openalex":"https://openalex.org/W2940693183","doi":"https://doi.org/10.1109/lgrs.2019.2908196","mag":"2940693183"},"language":"en","primary_location":{"id":"doi:10.1109/lgrs.2019.2908196","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2019.2908196","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/A5021661678","display_name":"Xing Wu","orcid":"https://orcid.org/0000-0002-1368-1621"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210128053","display_name":"Institute of Remote Sensing and Digital Earth","ror":"https://ror.org/02cjszf03","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210128053"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]},{"id":"https://openalex.org/I4210166112","display_name":"State Key Laboratory of Remote Sensing Science","ror":"https://ror.org/05wzjqa24","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210166112"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xing Wu","raw_affiliation_strings":["State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing, China","University of Chinese Academy of Sciences, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-1368-1621","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210128053","https://openalex.org/I4210166112"]},{"raw_affiliation_string":"University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101588866","display_name":"Xia Zhang","orcid":"https://orcid.org/0000-0002-4313-600X"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210128053","display_name":"Institute of Remote Sensing and Digital Earth","ror":"https://ror.org/02cjszf03","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210128053"]},{"id":"https://openalex.org/I4210166112","display_name":"State Key Laboratory of Remote Sensing Science","ror":"https://ror.org/05wzjqa24","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210166112"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xia Zhang","raw_affiliation_strings":["State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210128053","https://openalex.org/I4210166112"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5111539412","display_name":"Yi Cen","orcid":"https://orcid.org/0000-0002-1500-8350"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210128053","display_name":"Institute of Remote Sensing and Digital Earth","ror":"https://ror.org/02cjszf03","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210128053"]},{"id":"https://openalex.org/I4210166112","display_name":"State Key Laboratory of Remote Sensing Science","ror":"https://ror.org/05wzjqa24","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210166112"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yi Cen","raw_affiliation_strings":["State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210128053","https://openalex.org/I4210166112"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.7223,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.74171248,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"16","issue":"11","first_page":"1756","last_page":"1760"},"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":0.9812999963760376,"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":0.9782000184059143,"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":0.9055389165878296},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7339264154434204},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7261533737182617},{"id":"https://openalex.org/keywords/sparse-approximation","display_name":"Sparse approximation","score":0.7213777899742126},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6806732416152954},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.660671591758728},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.6003574728965759},{"id":"https://openalex.org/keywords/redundancy","display_name":"Redundancy (engineering)","score":0.52388995885849},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.512276828289032},{"id":"https://openalex.org/keywords/multi-task-learning","display_name":"Multi-task learning","score":0.4272930920124054},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.4213216304779053},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4181838035583496},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2009754478931427},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.15611359477043152}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.9055389165878296},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7339264154434204},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7261533737182617},{"id":"https://openalex.org/C124066611","wikidata":"https://www.wikidata.org/wiki/Q28684319","display_name":"Sparse approximation","level":2,"score":0.7213777899742126},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6806732416152954},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.660671591758728},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.6003574728965759},{"id":"https://openalex.org/C152124472","wikidata":"https://www.wikidata.org/wiki/Q1204361","display_name":"Redundancy (engineering)","level":2,"score":0.52388995885849},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.512276828289032},{"id":"https://openalex.org/C28006648","wikidata":"https://www.wikidata.org/wiki/Q6934509","display_name":"Multi-task learning","level":3,"score":0.4272930920124054},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.4213216304779053},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4181838035583496},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2009754478931427},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.15611359477043152},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lgrs.2019.2908196","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2019.2908196","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/G925574381","display_name":"\u57fa\u4e8e\u975e\u7ebf\u6027\u4e0e\u7a00\u758f\u89e3\u6df7\u6a21\u578b\u7684\u706b\u661f\u542b\u6c34\u77ff\u7269\u4e30\u5ea6\u9ad8\u5149\u8c31\u53cd\u6f14","funder_award_id":"41671360","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":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W1899348529","https://openalex.org/W1972578813","https://openalex.org/W2017014096","https://openalex.org/W2028436154","https://openalex.org/W2034295546","https://openalex.org/W2037143195","https://openalex.org/W2044439250","https://openalex.org/W2087263574","https://openalex.org/W2117741752","https://openalex.org/W2118996198","https://openalex.org/W2132184828","https://openalex.org/W2135562430","https://openalex.org/W2149936180","https://openalex.org/W2157621128","https://openalex.org/W2163957348","https://openalex.org/W2436131245","https://openalex.org/W2507855991","https://openalex.org/W2560082588","https://openalex.org/W2613586935","https://openalex.org/W2760763333","https://openalex.org/W2913340405","https://openalex.org/W6677508755"],"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/W2374021060","https://openalex.org/W4299904075"],"abstract_inverted_index":{"Target":[0],"detection":[1,12,57,111,120],"plays":[2],"an":[3],"important":[4],"role":[5],"in":[6,75,123],"hyperspectral":[7],"imagery":[8],"(HSI)":[9],"processing.":[10],"Many":[11],"algorithms":[13],"have":[14],"been":[15],"proposed":[16],"over":[17],"the":[18,22,44,110,126,129],"past":[19],"decades.":[20],"However,":[21],"existing":[23],"detectors":[24],"may":[25],"encounter":[26],"false":[27],"alarms":[28],"for":[29,59],"ignoring":[30],"target":[31,45,56,64,91,101],"interference":[32,46],"during":[33],"background":[34,66,73,87],"modeling":[35],"and":[36,53,65,82,147],"high":[37],"correlations":[38],"among":[39],"adjacent":[40],"bands.":[41],"To":[42,103],"address":[43],"issue,":[47],"we":[48,107],"propose":[49],"a":[50,86,90,100,114],"novel":[51],"joint-sparse":[52,146],"low-rank":[54,83,148],"representation":[55,84,98,149],"algorithm":[58],"HSI,":[60],"which":[61],"separately":[62],"models":[63],"pixels":[67],"using":[68,85,99],"different":[69],"regularization":[70],"methods.":[71],"A":[72],"pixel":[74,92],"HSI":[76],"can":[77,93],"be":[78,94],"modeled":[79,95],"via":[80,96],"sparse":[81,97],"dictionary,":[88],"whereas":[89],"dictionary.":[102],"reduce":[104],"spectral":[105],"redundancy,":[106],"further":[108],"incorporated":[109],"model":[112],"into":[113],"multitask":[115,145],"learning":[116],"framework.":[117],"The":[118],"final":[119],"was":[121],"made":[122],"favor":[124],"of":[125],"class":[127],"with":[128],"lowest":[130],"total":[131],"reconstruction":[132],"error":[133],"accumulated":[134],"from":[135],"all":[136],"tasks.":[137],"Experiments":[138],"on":[139],"two":[140],"airborne":[141],"HSIs":[142],"demonstrated":[143],"that":[144],"(MTJSLR)":[150],"outperformed":[151],"other":[152],"state-of-the-art":[153],"detectors.":[154]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":1}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}
