{"id":"https://openalex.org/W2760763333","doi":"https://doi.org/10.1109/lgrs.2017.2739821","title":"Independent Encoding Joint Sparse Representation and Multitask Learning for Hyperspectral Target Detection","display_name":"Independent Encoding Joint Sparse Representation and Multitask Learning for Hyperspectral Target Detection","publication_year":2017,"publication_date":"2017-09-21","ids":{"openalex":"https://openalex.org/W2760763333","doi":"https://doi.org/10.1109/lgrs.2017.2739821","mag":"2760763333"},"language":"en","primary_location":{"id":"doi:10.1109/lgrs.2017.2739821","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2017.2739821","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/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":["Hubei Subsurface Multi-scale Imaging Key Laboratory, Institute of Geophysics and Geomatics, China University of Geosciences, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hubei Subsurface Multi-scale Imaging Key Laboratory, Institute of Geophysics and Geomatics, China University of Geosciences, Wuhan, China","institution_ids":["https://openalex.org/I3124059619"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014326389","display_name":"Ke Wu","orcid":"https://orcid.org/0000-0001-9692-4221"},"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":"Wu Ke","raw_affiliation_strings":["Hubei Subsurface Multi-scale Imaging Key Laboratory, Institute of Geophysics and Geomatics, China University of Geosciences, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0001-9692-4221","affiliations":[{"raw_affiliation_string":"Hubei Subsurface Multi-scale Imaging Key Laboratory, Institute of Geophysics and Geomatics, China University of Geosciences, Wuhan, China","institution_ids":["https://openalex.org/I3124059619"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113667752","display_name":"Bo Du","orcid":"https://orcid.org/0000-0001-5093-7158"},"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, Wuhan University, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0001-5093-7158","affiliations":[{"raw_affiliation_string":"School of Computer, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5004788238","display_name":"Xiangyun Hu","orcid":"https://orcid.org/0000-0003-3623-8304"},"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":"Xiangyun Hu","raw_affiliation_strings":["Hubei Subsurface Multi-scale Imaging Key Laboratory, Institute of Geophysics and Geomatics, China University of Geosciences, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hubei Subsurface Multi-scale Imaging Key Laboratory, Institute of Geophysics and Geomatics, China University of Geosciences, Wuhan, China","institution_ids":["https://openalex.org/I3124059619"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.7294,"has_fulltext":false,"cited_by_count":16,"citation_normalized_percentile":{"value":0.91895976,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"14","issue":"11","first_page":"1933","last_page":"1937"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9998999834060669,"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":0.9998999834060669,"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/T13890","display_name":"Remote Sensing and Land Use","score":0.9866999983787537,"subfield":{"id":"https://openalex.org/subfields/1902","display_name":"Atmospheric Science"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9606000185012817,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/discriminative-model","display_name":"Discriminative model","score":0.8734842538833618},{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.7940517663955688},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7317822575569153},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7124420404434204},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6973748803138733},{"id":"https://openalex.org/keywords/sparse-approximation","display_name":"Sparse approximation","score":0.6068422794342041},{"id":"https://openalex.org/keywords/redundancy","display_name":"Redundancy (engineering)","score":0.5600235462188721},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.5168876647949219},{"id":"https://openalex.org/keywords/multi-task-learning","display_name":"Multi-task learning","score":0.4848290681838989},{"id":"https://openalex.org/keywords/encode","display_name":"ENCODE","score":0.4404340088367462},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.2206425666809082}],"concepts":[{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.8734842538833618},{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.7940517663955688},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7317822575569153},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7124420404434204},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6973748803138733},{"id":"https://openalex.org/C124066611","wikidata":"https://www.wikidata.org/wiki/Q28684319","display_name":"Sparse approximation","level":2,"score":0.6068422794342041},{"id":"https://openalex.org/C152124472","wikidata":"https://www.wikidata.org/wiki/Q1204361","display_name":"Redundancy (engineering)","level":2,"score":0.5600235462188721},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.5168876647949219},{"id":"https://openalex.org/C28006648","wikidata":"https://www.wikidata.org/wiki/Q6934509","display_name":"Multi-task learning","level":3,"score":0.4848290681838989},{"id":"https://openalex.org/C66746571","wikidata":"https://www.wikidata.org/wiki/Q1134833","display_name":"ENCODE","level":3,"score":0.4404340088367462},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.2206425666809082},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"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/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lgrs.2017.2739821","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2017.2739821","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":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.75}],"awards":[{"id":"https://openalex.org/G1698162802","display_name":null,"funder_award_id":"2015M580753","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"},{"id":"https://openalex.org/G3867327757","display_name":null,"funder_award_id":"61701452","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4098424951","display_name":null,"funder_award_id":"2017M612533","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"},{"id":"https://openalex.org/G4225307845","display_name":"\u57fa\u4e8e\u4e9a\u50cf\u5143\u5b9a\u4f4d\u7684\u9065\u611f\u5f71\u50cf\u53d8\u5316\u68c0\u6d4b\u7406\u8bba\u4e0e\u65b9\u6cd5\u7814\u7a76","funder_award_id":"61372153","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5394380375","display_name":null,"funder_award_id":"61601522","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6975197512","display_name":"\u534e\u5357\u5730\u5757\u4e1c\u90e8\u5ca9\u77f3\u5708\u5c5e\u6027\u53ca\u5176\u52a8\u529b\u5b66\u8fc7\u7a0b\u7814\u7a76","funder_award_id":"41630317","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7947832955","display_name":"\u7a00\u758f\u8868\u8fbe\u548c\u8de8\u9886\u57df\u5b66\u4e60\u7684\u9ad8\u5149\u8c31\u9065\u611f\u56fe\u50cf\u4e9a\u50cf\u5143\u76ee\u6807\u63a2\u6d4b\u7814\u7a76","funder_award_id":"61471274","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8895439857","display_name":null,"funder_award_id":"U1536204","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"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W1503479455","https://openalex.org/W1558048826","https://openalex.org/W1799946925","https://openalex.org/W1899348529","https://openalex.org/W1977325095","https://openalex.org/W2007746769","https://openalex.org/W2020953322","https://openalex.org/W2028436154","https://openalex.org/W2037143195","https://openalex.org/W2043441451","https://openalex.org/W2061572659","https://openalex.org/W2069231830","https://openalex.org/W2089298795","https://openalex.org/W2105032938","https://openalex.org/W2108979787","https://openalex.org/W2117741752","https://openalex.org/W2135758523","https://openalex.org/W2141775747","https://openalex.org/W2162060765","https://openalex.org/W2163957348","https://openalex.org/W2166721725","https://openalex.org/W2288723698","https://openalex.org/W2316226477","https://openalex.org/W2507855991","https://openalex.org/W2512351403","https://openalex.org/W2558551153","https://openalex.org/W2560082588","https://openalex.org/W2565499339","https://openalex.org/W2913340405","https://openalex.org/W6684360038"],"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/W2468279273","https://openalex.org/W2374021060"],"abstract_inverted_index":{"Target":[0],"detection":[1,14,174],"is":[2,38],"playing":[3],"an":[4,78,85],"important":[5],"role":[6],"in":[7,104,154],"hyperspectral":[8],"image":[9],"(HSI)":[10],"processing.":[11],"Many":[12],"traditional":[13],"methods":[15,37],"utilize":[16],"the":[17,22,27,30,45,54,58,66,71,91,96,118,133,136,140,144,159,173,178,191,194],"discriminative":[18,46],"information":[19,122],"within":[20],"all":[21],"single-band":[23,73],"images":[24],"to":[25,56,100,106,123,156],"distinguish":[26],"target":[28,134,145],"and":[29,43,84,129,135,147,167,170],"background.":[31],"The":[32,48],"critical":[33],"challenge":[34],"with":[35,150],"these":[36],"simultaneously":[39],"reducing":[40],"spectral":[41,68,98,108],"redundancy":[42,109],"preserving":[44],"information.":[47],"multitask":[49],"learning":[50],"(MTL)":[51],"technique":[52],"has":[53,90],"potential":[55],"solve":[57],"aforementioned":[59],"challenge,":[60],"since":[61],"it":[62],"can":[63],"further":[64],"explore":[65],"inherent":[67,97],"similarity":[69,99],"between":[70,143],"adjacent":[72],"images.":[74],"This":[75,88],"letter":[76],"proposes":[77],"independent":[79],"encoding":[80],"joint":[81,126,164],"sparse":[82,127,165],"representation":[83,128,166],"MTL":[86,130,168],"method.":[87,196],"approach":[89],"following":[92],"capabilities:":[93],"1)":[94],"explores":[95,139],"construct":[101,124],"multiple":[102],"sub-HSIs":[103],"order":[105,155],"reduce":[107],"for":[110,132,162],"each":[111],"sub-HSI;":[112],"2)":[113],"takes":[114],"full":[115],"advantage":[116],"of":[117,193],"prior":[119,183],"class":[120,184],"label":[121],"reasonable":[125],"models":[131],"background;":[137],"3)":[138],"great":[141],"difference":[142],"dictionary":[146,149],"background":[148],"different":[151,182],"regularization":[152],"strategies":[153],"better":[157],"encode":[158],"task":[160],"relatedness":[161],"two":[163,188],"models;":[169],"4)":[171],"makes":[172],"decision":[175],"by":[176],"comparing":[177],"reconstruction":[179],"residuals":[180],"under":[181],"labels.":[185],"Experiments":[186],"on":[187],"HSIs":[189],"illustrated":[190],"effectiveness":[192],"proposed":[195]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":6},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}