{"id":"https://openalex.org/W3174305608","doi":"https://doi.org/10.1109/jstars.2021.3091125","title":"Subpixel Temperature Estimation by Information Transfer With Adaptive Ensemble Extreme Learning Machine (IT-AEELM)","display_name":"Subpixel Temperature Estimation by Information Transfer With Adaptive Ensemble Extreme Learning Machine (IT-AEELM)","publication_year":2021,"publication_date":"2021-01-01","ids":{"openalex":"https://openalex.org/W3174305608","doi":"https://doi.org/10.1109/jstars.2021.3091125","mag":"3174305608"},"language":"en","primary_location":{"id":"doi:10.1109/jstars.2021.3091125","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2021.3091125","pdf_url":"https://ieeexplore.ieee.org/ielx7/4609443/9314330/09462392.pdf","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":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","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":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/4609443/9314330/09462392.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5087167168","display_name":"Yue Hu","orcid":"https://orcid.org/0000-0002-4648-611X"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yue Hu","raw_affiliation_strings":["School of Electronics and Information Engineering, Harbin Institute of Technology, Harbin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronics and Information Engineering, Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074978791","display_name":"Xinyu Zhou","orcid":"https://orcid.org/0000-0003-3508-0883"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinyu Zhou","raw_affiliation_strings":["School of Electronics and Information Engineering, Harbin Institute of Technology, Harbin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronics and Information Engineering, Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100449291","display_name":"Ye Zhang","orcid":"https://orcid.org/0000-0001-8721-4535"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ye Zhang","raw_affiliation_strings":["School of Electronics and Information Engineering, Harbin Institute of Technology, Harbin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronics and Information Engineering, Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5074600560","display_name":"Shaoqi Shi","orcid":"https://orcid.org/0000-0003-0592-0247"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shaoqi Shi","raw_affiliation_strings":["School of Electronics and Information Engineering, Harbin Institute of Technology, Harbin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronics and Information Engineering, Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I204983213"],"apc_list":{"value":1250,"currency":"USD","value_usd":1250},"apc_paid":{"value":1250,"currency":"USD","value_usd":1250},"fwci":0.0892,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.38051512,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"14","issue":null,"first_page":"6743","last_page":"6754"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10766","display_name":"Urban Heat Island Mitigation","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10766","display_name":"Urban Heat Island Mitigation","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9983999729156494,"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/T10111","display_name":"Remote Sensing in Agriculture","score":0.9921000003814697,"subfield":{"id":"https://openalex.org/subfields/2303","display_name":"Ecology"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/subpixel-rendering","display_name":"Subpixel rendering","score":0.9808449745178223},{"id":"https://openalex.org/keywords/vnir","display_name":"VNIR","score":0.7648636102676392},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.762998640537262},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.6314760446548462},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.5767191648483276},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4650932848453522},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.43918377161026},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.4286864697933197},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.3904222846031189},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.349118709564209},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.33627021312713623},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3235815167427063},{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.1271241009235382},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.0775531530380249},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.07576790452003479}],"concepts":[{"id":"https://openalex.org/C68516990","wikidata":"https://www.wikidata.org/wiki/Q452912","display_name":"Subpixel rendering","level":3,"score":0.9808449745178223},{"id":"https://openalex.org/C5457282","wikidata":"https://www.wikidata.org/wiki/Q7907352","display_name":"VNIR","level":3,"score":0.7648636102676392},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.762998640537262},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.6314760446548462},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.5767191648483276},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4650932848453522},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.43918377161026},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.4286864697933197},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.3904222846031189},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.349118709564209},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.33627021312713623},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3235815167427063},{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.1271241009235382},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0775531530380249},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.07576790452003479}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/jstars.2021.3091125","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2021.3091125","pdf_url":"https://ieeexplore.ieee.org/ielx7/4609443/9314330/09462392.pdf","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":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","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"},{"id":"pmh:oai:doaj.org/article:dec4dc84c869432f8d7c604b77986ae9","is_oa":true,"landing_page_url":"https://doaj.org/article/dec4dc84c869432f8d7c604b77986ae9","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 14, Pp 6743-6754 (2021)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/jstars.2021.3091125","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2021.3091125","pdf_url":"https://ieeexplore.ieee.org/ielx7/4609443/9314330/09462392.pdf","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":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","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"},"sustainable_development_goals":[{"score":0.5299999713897705,"id":"https://metadata.un.org/sdg/15","display_name":"Life in Land"}],"awards":[{"id":"https://openalex.org/G6392893551","display_name":"\u81ea\u7531\u547c\u5438\u4e0b\u5feb\u901f\u9ad8\u65f6\u7a7a\u5206\u8fa8\u7387\u56db\u7ef4\u78c1\u5171\u632f\u56fe\u50cf\u91cd\u5efa\u65b9\u6cd5\u7814\u7a76","funder_award_id":"61871159","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":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3174305608.pdf","grobid_xml":"https://content.openalex.org/works/W3174305608.grobid-xml"},"referenced_works_count":44,"referenced_works":["https://openalex.org/W54257720","https://openalex.org/W1536929369","https://openalex.org/W1594730842","https://openalex.org/W1663371458","https://openalex.org/W1927014141","https://openalex.org/W1964217023","https://openalex.org/W1972793421","https://openalex.org/W1976712888","https://openalex.org/W1978578227","https://openalex.org/W1982302436","https://openalex.org/W1982934085","https://openalex.org/W1998742682","https://openalex.org/W2000698817","https://openalex.org/W2014508146","https://openalex.org/W2014630223","https://openalex.org/W2019281621","https://openalex.org/W2026316430","https://openalex.org/W2029733275","https://openalex.org/W2033600080","https://openalex.org/W2037714040","https://openalex.org/W2068274991","https://openalex.org/W2071312282","https://openalex.org/W2074346958","https://openalex.org/W2087325533","https://openalex.org/W2087649910","https://openalex.org/W2094273004","https://openalex.org/W2111072639","https://openalex.org/W2111496197","https://openalex.org/W2118741031","https://openalex.org/W2130989950","https://openalex.org/W2135617432","https://openalex.org/W2301692565","https://openalex.org/W2308804271","https://openalex.org/W2382343260","https://openalex.org/W2551014865","https://openalex.org/W2891158090","https://openalex.org/W2901276090","https://openalex.org/W2902126772","https://openalex.org/W2903707521","https://openalex.org/W2914802281","https://openalex.org/W2997019934","https://openalex.org/W3014474978","https://openalex.org/W3086090559","https://openalex.org/W6754405603"],"related_works":["https://openalex.org/W2118741031","https://openalex.org/W4312705334","https://openalex.org/W2048225904","https://openalex.org/W1971218353","https://openalex.org/W2137653915","https://openalex.org/W2004818310","https://openalex.org/W2063406554","https://openalex.org/W2049925947","https://openalex.org/W2025039112","https://openalex.org/W3088281917"],"abstract_inverted_index":{"The":[0,43,108,136],"retrieval":[1],"of":[2,75,88,139,170,191],"land":[3,91,102,178],"surface":[4,92,103],"temperature":[5],"(LST)":[6],"using":[7,34,89],"thermal":[8],"infrared":[9,63],"(TIR)":[10],"data":[11,19,83,110],"is":[12,129,145],"important":[13],"in":[14,105],"many":[15],"applications.":[16],"However,":[17],"TIR":[18,68],"usually":[20],"suffer":[21],"from":[22],"low":[23],"spatial":[24,154],"resolution.":[25],"We":[26],"introduce":[27],"a":[28,47,72,119,124,149],"novel":[29,120],"subpixel":[30,51,171,192],"LST":[31,52,114,193],"estimation":[32],"model":[33,141],"the":[35,54,81,101,112,140,184,189,196],"information-transfer-based":[36],"adaptive":[37],"ensemble":[38,126],"extreme":[39],"learning":[40,127],"machine":[41],"(IT-AEELM).":[42],"proposed":[44,185],"method":[45,186],"constructs":[46],"reliable":[48],"relationship":[49],"between":[50],"and":[53,58,66,111,167,173],"input":[55,82],"high-resolution":[56],"visible":[57],"near-infrared":[59],"(VNIR)":[60],"data,":[61,65,164],"short-wave":[62],"(SWIR)":[64],"low-resolution":[67,113],"data.":[69],"Based":[70],"on":[71],"detailed":[73],"analysis":[74],"different":[76,97,153],"ground":[77],"objects,":[78],"we":[79,95],"divide":[80],"into":[84],"multiple":[85],"subsets.":[86],"Instead":[87],"consistent":[90],"parameters":[93],"(LSPs),":[94],"utilize":[96],"LSPs":[98],"to":[99,117,131,176],"characterize":[100],"properties":[104],"each":[106],"subset.":[107],"VNIR-SWIR-LSPs":[109],"are":[115],"used":[116],"train":[118],"IT-AEELM":[121],"network,":[122],"where":[123],"feedback":[125],"scheme":[128],"introduced":[130],"effectively":[132],"remove":[133],"inaccurate":[134],"estimates.":[135],"main":[137],"difference":[138],"against":[142],"existing":[143],"methods":[144],"that":[146,183],"it":[147],"builds":[148],"robust":[150],"architecture":[151],"at":[152],"scales,":[155],"which":[156],"provides":[157],"benefits":[158],"including":[159],"lower":[160],"demand":[161],"for":[162],"training":[163],"more":[165],"rapid":[166],"accurate":[168],"acquisition":[169],"LST,":[172],"better":[174],"adaption":[175],"heterogeneous":[177],"surface.":[179],"Numerical":[180],"experiments":[181],"demonstrate":[182],"significantly":[187],"improves":[188],"accuracy":[190],"compared":[194],"with":[195],"state-of-the-art":[197],"algorithms.":[198]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
