{"id":"https://openalex.org/W2915888826","doi":"https://doi.org/10.1109/jstars.2019.2894802","title":"Multitask Learning-Based Reliability Analysis for Hyperspectral Target Detection","display_name":"Multitask Learning-Based Reliability Analysis for Hyperspectral Target Detection","publication_year":2019,"publication_date":"2019-02-19","ids":{"openalex":"https://openalex.org/W2915888826","doi":"https://doi.org/10.1109/jstars.2019.2894802","mag":"2915888826"},"language":"en","primary_location":{"id":"doi:10.1109/jstars.2019.2894802","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jstars.2019.2894802","pdf_url":null,"source":{"id":"https://openalex.org/S117727964","display_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","issn_l":"1939-1404","issn":["1939-1404","2151-1535"],"is_oa":false,"is_in_doaj":true,"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 Journal of Selected Topics in Applied Earth Observations and Remote Sensing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"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":["Institute of Geophysics and Geomatics, China University of Geosciences, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0002-2913-3515","affiliations":[{"raw_affiliation_string":"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":"Ke Wu","raw_affiliation_strings":["Institute of Geophysics and Geomatics, China University of Geosciences, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0001-9692-4221","affiliations":[{"raw_affiliation_string":"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/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, Wuhan University, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0002-0059-8458","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":["Institute of Geophysics and Geomatics, China University of Geosciences, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0003-3623-8304","affiliations":[{"raw_affiliation_string":"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":{"value":1250,"currency":"USD","value_usd":1250},"apc_paid":null,"fwci":4.4234,"has_fulltext":false,"cited_by_count":40,"citation_normalized_percentile":{"value":0.94927409,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"12","issue":"7","first_page":"2135","last_page":"2147"},"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/T12389","display_name":"Infrared Target Detection Methodologies","score":0.9761999845504761,"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/T13890","display_name":"Remote Sensing and Land Use","score":0.9664000272750854,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.9691736698150635},{"id":"https://openalex.org/keywords/a-priori-and-a-posteriori","display_name":"A priori and a posteriori","score":0.7102076411247253},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7097424268722534},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6599688529968262},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6419757604598999},{"id":"https://openalex.org/keywords/reliability","display_name":"Reliability (semiconductor)","score":0.5346521139144897},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.504996120929718},{"id":"https://openalex.org/keywords/full-spectral-imaging","display_name":"Full spectral imaging","score":0.4532259404659271},{"id":"https://openalex.org/keywords/spectral-signature","display_name":"Spectral signature","score":0.44289156794548035},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.32339680194854736},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.2469278872013092},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.1146908700466156}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.9691736698150635},{"id":"https://openalex.org/C75553542","wikidata":"https://www.wikidata.org/wiki/Q178161","display_name":"A priori and a posteriori","level":2,"score":0.7102076411247253},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7097424268722534},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6599688529968262},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6419757604598999},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.5346521139144897},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.504996120929718},{"id":"https://openalex.org/C78660771","wikidata":"https://www.wikidata.org/wiki/Q5508206","display_name":"Full spectral imaging","level":3,"score":0.4532259404659271},{"id":"https://openalex.org/C176641082","wikidata":"https://www.wikidata.org/wiki/Q2446767","display_name":"Spectral signature","level":2,"score":0.44289156794548035},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.32339680194854736},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.2469278872013092},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.1146908700466156},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/jstars.2019.2894802","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jstars.2019.2894802","pdf_url":null,"source":{"id":"https://openalex.org/S117727964","display_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","issn_l":"1939-1404","issn":["1939-1404","2151-1535"],"is_oa":false,"is_in_doaj":true,"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 Journal of Selected Topics in Applied Earth Observations and Remote Sensing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1028673978","display_name":null,"funder_award_id":"CUG2019ZR01","funder_id":"https://openalex.org/F4320322815","funder_display_name":"China University of Geosciences, Wuhan"},{"id":"https://openalex.org/G129630675","display_name":null,"funder_award_id":"CUG2019ZR01","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G3507083598","display_name":null,"funder_award_id":"61822113","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"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/G3931281444","display_name":null,"funder_award_id":"CUG170617","funder_id":"https://openalex.org/F4320322815","funder_display_name":"China University of Geosciences, Wuhan"},{"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/G5713367916","display_name":null,"funder_award_id":"CKWV2018476/KY","funder_id":"https://openalex.org/F4320326485","funder_display_name":"Changjiang River Scientific Research Institute"},{"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/G7545859506","display_name":null,"funder_award_id":"41871243","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8885173874","display_name":null,"funder_award_id":"CUG170617","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"}],"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/F4320322815","display_name":"China University of Geosciences, Wuhan","ror":"https://ror.org/04q6c7p66"},{"id":"https://openalex.org/F4320326485","display_name":"Changjiang River Scientific Research Institute","ror":null},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":62,"referenced_works":["https://openalex.org/W1503479455","https://openalex.org/W1529476013","https://openalex.org/W1799946925","https://openalex.org/W1800306869","https://openalex.org/W1899348529","https://openalex.org/W1972676608","https://openalex.org/W1973176871","https://openalex.org/W1977325095","https://openalex.org/W1984775121","https://openalex.org/W1986740828","https://openalex.org/W1990953362","https://openalex.org/W2005106632","https://openalex.org/W2008094348","https://openalex.org/W2010928391","https://openalex.org/W2012810082","https://openalex.org/W2017014096","https://openalex.org/W2020210211","https://openalex.org/W2020953322","https://openalex.org/W2036043322","https://openalex.org/W2037143195","https://openalex.org/W2040812261","https://openalex.org/W2047096209","https://openalex.org/W2061572659","https://openalex.org/W2062649076","https://openalex.org/W2065180801","https://openalex.org/W2069231830","https://openalex.org/W2078296814","https://openalex.org/W2092762391","https://openalex.org/W2102630986","https://openalex.org/W2107820823","https://openalex.org/W2111537739","https://openalex.org/W2117741752","https://openalex.org/W2119317657","https://openalex.org/W2121338139","https://openalex.org/W2143950702","https://openalex.org/W2149936180","https://openalex.org/W2163957348","https://openalex.org/W2166682552","https://openalex.org/W2166721725","https://openalex.org/W2167799103","https://openalex.org/W2171188998","https://openalex.org/W2288752886","https://openalex.org/W2331050942","https://openalex.org/W2343117455","https://openalex.org/W2354867529","https://openalex.org/W2560082588","https://openalex.org/W2565499339","https://openalex.org/W2581808969","https://openalex.org/W2609615231","https://openalex.org/W2743255627","https://openalex.org/W2746394985","https://openalex.org/W2760763333","https://openalex.org/W2776456086","https://openalex.org/W2790587317","https://openalex.org/W2807946621","https://openalex.org/W2809328251","https://openalex.org/W2913340405","https://openalex.org/W2964036110","https://openalex.org/W6638370976","https://openalex.org/W6676758484","https://openalex.org/W6678381592","https://openalex.org/W6684360038"],"related_works":["https://openalex.org/W2889956472","https://openalex.org/W2104436778","https://openalex.org/W2738168532","https://openalex.org/W4367471608","https://openalex.org/W2799746630","https://openalex.org/W2498675177","https://openalex.org/W2020953322","https://openalex.org/W4399039556","https://openalex.org/W4322753676","https://openalex.org/W2039721451"],"abstract_inverted_index":{"Hyperspectral":[0],"images":[1],"contain":[2],"abundant":[3],"spectral":[4,19,37,51,63,72,119,147,167,194],"information,":[5],"which":[6,26],"provide":[7],"great":[8],"potential":[9,91],"for":[10,22,129],"target":[11,24,30,62,97,112,118,131,140,146,174,186,193],"detection.":[12],"However,":[13,53],"it":[14,101],"also":[15],"introduces":[16],"a":[17,116,124,184],"critical":[18],"variability":[20],"problem":[21,75],"hyperspectral":[23,29,96,130,200,205],"detection,":[25],"makes":[27],"the":[28,35,50,61,70,77,90,94,104,145,160,166,179,192,208,211,216],"detection":[31,42,98,132,153],"much":[32],"difficult":[33],"than":[34],"classical":[36],"match":[38],"issue.":[39],"Many":[40],"traditional":[41],"methods":[43],"have":[44,89],"been":[45],"proposed":[46,123,212],"to":[47,60,92,114,142,164,182,190,215],"deal":[48],"with":[49,80],"variability.":[52,64,195],"these":[54,81],"algorithms":[55],"are":[56,76],"still":[57],"highly":[58],"susceptible":[59],"The":[65,83],"single":[66],"input":[67],"restriction":[68],"and":[69,107,149,169,177,202],"inherent":[71,105],"characteristics":[73,148],"mining":[74],"main":[78],"issues":[79,99],"methods.":[82],"multitask":[84,161],"learning":[85,162],"(MTL)":[86],"technique":[87,163],"may":[88],"solve":[93],"above":[95],"since":[100],"can":[102],"extract":[103],"similarity":[106,168],"difference":[108,170],"within":[109],"multiple":[110,138,151,172],"priori":[111,139,173],"spectra":[113,141],"learn":[115],"robust":[117],"signature.":[120],"This":[121,134],"paper":[122],"MTL-based":[125],"reliability":[126,180],"analysis":[127,181],"method":[128],"(MultiRely).":[133],"approach:":[135],"1)":[136],"utilizes":[137],"better":[143],"represent":[144],"construct":[150],"related":[152],"tasks;":[154],"2)":[155],"takes":[156],"full":[157],"advantage":[158],"of":[159,210],"explore":[165],"between":[171],"spectra;":[175],"3)":[176],"applies":[178],"obtain":[183],"reliable":[185],"spectrum":[187],"in":[188],"order":[189],"alleviate":[191],"Experiments":[196],"on":[197],"two":[198],"real":[199],"datasets":[201],"one":[203],"synthetic":[204],"dataset":[206],"illustrated":[207],"effectiveness":[209],"algorithm":[213],"compared":[214],"state-of-the-art":[217],"detectors.":[218]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":10},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":5}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
