{"id":"https://openalex.org/W2148224964","doi":"https://doi.org/10.1109/igarss.2007.4423824","title":"Multi-layer perceptron neural network based algorithm for simultaneous retrieving temperature and emissivity from hyperspectral FTIR dataset","display_name":"Multi-layer perceptron neural network based algorithm for simultaneous retrieving temperature and emissivity from hyperspectral FTIR dataset","publication_year":2007,"publication_date":"2007-01-01","ids":{"openalex":"https://openalex.org/W2148224964","doi":"https://doi.org/10.1109/igarss.2007.4423824","mag":"2148224964"},"language":"en","primary_location":{"id":"doi:10.1109/igarss.2007.4423824","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2007.4423824","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2007 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-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/A5023190435","display_name":"Jie Cheng","orcid":"https://orcid.org/0000-0002-7620-4507"},"institutions":[{"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"]},{"id":"https://openalex.org/I25254941","display_name":"Beijing Normal University","ror":"https://ror.org/022k4wk35","country_code":"CN","type":"education","lineage":["https://openalex.org/I25254941"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jie Cheng","raw_affiliation_strings":["Graduate school of Chinese Academy of Sciences, Beijing, China","State Key Laboratory of Remote Sensing Science, Jointly Sponsored by the Institute of Remote Sensing Applications, Chinese Academy of Sciences, Beijing Normal University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Graduate school of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I19820366"]},{"raw_affiliation_string":"State Key Laboratory of Remote Sensing Science, Jointly Sponsored by the Institute of Remote Sensing Applications, Chinese Academy of Sciences, Beijing Normal University, Beijing, China","institution_ids":["https://openalex.org/I4210166112","https://openalex.org/I25254941"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112461780","display_name":"Qing Xiao","orcid":"https://orcid.org/0000-0001-5355-4400"},"institutions":[{"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"]},{"id":"https://openalex.org/I25254941","display_name":"Beijing Normal University","ror":"https://ror.org/022k4wk35","country_code":"CN","type":"education","lineage":["https://openalex.org/I25254941"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qing Xiao","raw_affiliation_strings":["State Key Laboratory of Remote Sensing Science, Jointly Sponsored by the Institute of Remote Sensing Applications, Chinese Academy of Sciences, Beijing Normal University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Remote Sensing Science, Jointly Sponsored by the Institute of Remote Sensing Applications, Chinese Academy of Sciences, Beijing Normal University, Beijing, China","institution_ids":["https://openalex.org/I4210166112","https://openalex.org/I25254941"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100717701","display_name":"Xiaowen Li","orcid":"https://orcid.org/0000-0001-8660-3387"},"institutions":[{"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"]},{"id":"https://openalex.org/I25254941","display_name":"Beijing Normal University","ror":"https://ror.org/022k4wk35","country_code":"CN","type":"education","lineage":["https://openalex.org/I25254941"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaowen Li","raw_affiliation_strings":["State Key Laboratory of Remote Sensing Science, Jointly Sponsored by the Institute of Remote Sensing Applications, Chinese Academy of Sciences, Beijing Normal University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Remote Sensing Science, Jointly Sponsored by the Institute of Remote Sensing Applications, Chinese Academy of Sciences, Beijing Normal University, Beijing, China","institution_ids":["https://openalex.org/I4210166112","https://openalex.org/I25254941"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018009227","display_name":"Qinhuo Liu","orcid":"https://orcid.org/0000-0002-3713-9511"},"institutions":[{"id":"https://openalex.org/I25254941","display_name":"Beijing Normal University","ror":"https://ror.org/022k4wk35","country_code":"CN","type":"education","lineage":["https://openalex.org/I25254941"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]},{"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":"Qinhuo Liu","raw_affiliation_strings":["Graduate school of Chinese Academy of Sciences, Beijing, China","State Key Laboratory of Remote Sensing Science, Jointly Sponsored by the Institute of Remote Sensing Applications, Chinese Academy of Sciences, Beijing Normal University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Graduate school of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I19820366"]},{"raw_affiliation_string":"State Key Laboratory of Remote Sensing Science, Jointly Sponsored by the Institute of Remote Sensing Applications, Chinese Academy of Sciences, Beijing Normal University, Beijing, China","institution_ids":["https://openalex.org/I4210166112","https://openalex.org/I25254941"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101927589","display_name":"Yongming Du","orcid":"https://orcid.org/0000-0001-7823-3566"},"institutions":[{"id":"https://openalex.org/I25254941","display_name":"Beijing Normal University","ror":"https://ror.org/022k4wk35","country_code":"CN","type":"education","lineage":["https://openalex.org/I25254941"]},{"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":"Yongming Du","raw_affiliation_strings":["State Key Laboratory of Remote Sensing Science, Jointly Sponsored by the Institute of Remote Sensing Applications, Chinese Academy of Sciences, Beijing Normal University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Remote Sensing Science, Jointly Sponsored by the Institute of Remote Sensing Applications, Chinese Academy of Sciences, Beijing Normal University, Beijing, China","institution_ids":["https://openalex.org/I4210166112","https://openalex.org/I25254941"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5007860974","display_name":"Aixiu Nie","orcid":null},"institutions":[{"id":"https://openalex.org/I4472751","display_name":"Anhui Normal University","ror":"https://ror.org/05fsfvw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I4472751"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Aixiu Nie","raw_affiliation_strings":["College of territorial resources and tourism, Anhui Normal University, Wuhu, China"],"affiliations":[{"raw_affiliation_string":"College of territorial resources and tourism, Anhui Normal University, Wuhu, China","institution_ids":["https://openalex.org/I4472751"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5023190435"],"corresponding_institution_ids":["https://openalex.org/I19820366","https://openalex.org/I25254941","https://openalex.org/I4210166112"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.15706085,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"23","issue":null,"first_page":"4383","last_page":"4385"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10766","display_name":"Urban Heat Island Mitigation","score":0.9987999796867371,"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":0.9987999796867371,"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/T13890","display_name":"Remote Sensing and Land Use","score":0.9944999814033508,"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9751999974250793,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/emissivity","display_name":"Emissivity","score":0.9436375498771667},{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.8438377380371094},{"id":"https://openalex.org/keywords/radiance","display_name":"Radiance","score":0.7094842195510864},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.616820216178894},{"id":"https://openalex.org/keywords/perceptron","display_name":"Perceptron","score":0.613033652305603},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.6034342050552368},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5585322976112366},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5291348695755005},{"id":"https://openalex.org/keywords/multilayer-perceptron","display_name":"Multilayer perceptron","score":0.4976480305194855},{"id":"https://openalex.org/keywords/black-body-radiation","display_name":"Black-body radiation","score":0.4858062267303467},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.36967676877975464},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.32608112692832947},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.23653775453567505},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.2352207601070404},{"id":"https://openalex.org/keywords/radiation","display_name":"Radiation","score":0.18368342518806458},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.17764613032341003}],"concepts":[{"id":"https://openalex.org/C163651212","wikidata":"https://www.wikidata.org/wiki/Q899670","display_name":"Emissivity","level":2,"score":0.9436375498771667},{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.8438377380371094},{"id":"https://openalex.org/C23690007","wikidata":"https://www.wikidata.org/wiki/Q1411145","display_name":"Radiance","level":2,"score":0.7094842195510864},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.616820216178894},{"id":"https://openalex.org/C60908668","wikidata":"https://www.wikidata.org/wiki/Q690207","display_name":"Perceptron","level":3,"score":0.613033652305603},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6034342050552368},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5585322976112366},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5291348695755005},{"id":"https://openalex.org/C179717631","wikidata":"https://www.wikidata.org/wiki/Q2991667","display_name":"Multilayer perceptron","level":3,"score":0.4976480305194855},{"id":"https://openalex.org/C157909335","wikidata":"https://www.wikidata.org/wiki/Q900097","display_name":"Black-body radiation","level":3,"score":0.4858062267303467},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.36967676877975464},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.32608112692832947},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.23653775453567505},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.2352207601070404},{"id":"https://openalex.org/C153385146","wikidata":"https://www.wikidata.org/wiki/Q18335","display_name":"Radiation","level":2,"score":0.18368342518806458},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.17764613032341003}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss.2007.4423824","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2007.4423824","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2007 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6200000047683716,"id":"https://metadata.un.org/sdg/15","display_name":"Life in Land"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1977803272","https://openalex.org/W1986876733","https://openalex.org/W2009649743","https://openalex.org/W2077234047","https://openalex.org/W2088849220","https://openalex.org/W2104942413","https://openalex.org/W2114306877","https://openalex.org/W2126271593","https://openalex.org/W2142855340","https://openalex.org/W2169447826","https://openalex.org/W2356052244","https://openalex.org/W2515530652","https://openalex.org/W6725835036"],"related_works":["https://openalex.org/W2371519602","https://openalex.org/W1987023039","https://openalex.org/W2326191128","https://openalex.org/W4317602508","https://openalex.org/W2994935401","https://openalex.org/W216680316","https://openalex.org/W4365147355","https://openalex.org/W2353168918","https://openalex.org/W2360595951","https://openalex.org/W2887046964"],"abstract_inverted_index":{"The":[0,103],"paper":[1],"firstly":[2],"points":[3],"out":[4],"the":[5,20,33,47,53,65,74,92,108,117,121,126,135,138,144,157,162,167,178,188,203,213],"defect":[6],"of":[7,35,67,95,140,169,180,190],"conventional":[8,21,181,214],"temperature":[9,22,45,96,158,182,215],"and":[10,23,38,46,56,97,120,159,171,183,216],"emissivity":[11,24,30,98,105,123,160,184,192,217],"separation":[12,185,218],"algorithms":[13,25],"when":[14,32],"dealing":[15],"with":[16],"hyperspectral":[17,100],"FTIR":[18,101],"data:":[19],"can":[26,176,205],"not":[27],"reproduce":[28],"correct":[29],"value":[31],"difference":[34],"ground-leaving":[36],"radiance":[37],"object's":[39],"blackbody":[40],"radiation":[41],"at":[42],"its":[43],"true":[44],"instrument":[48],"random":[49],"noise":[50],"are":[51],"on":[52],"same":[54],"order,":[55],"this":[57,81],"phenomenon":[58],"is":[59,146,195],"very":[60],"prone":[61],"to":[62,79,115,133,155,212],"occur":[63],"in":[64,73],"extremity":[66],"714-1250":[68],"cm":[69],"<sup":[70],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[71],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">-1</sup>":[72],"field":[75],"measurements.":[76],"In":[77],"order":[78],"settle":[80],"defect,":[82],"a":[83,200,209],"three-layer":[84],"perceptron":[85],"neural":[86],"network":[87,141],"has":[88,151],"been":[89,113,131,153],"introduced":[90],"into":[91],"simultaneous":[93],"inversion":[94],"from":[99,107,125,161],"data.":[102],"soil":[104,122],"spectra":[106,124],"ASTER":[109],"spectral":[110,128],"library":[111,129],"have":[112,130],"used":[114,132,154],"produce":[116,134],"training":[118],"dataset,":[119,137],"MODIS":[127],"test":[136,142,163],"result":[139,168],"shows":[143],"MLP":[145,170,175,194,204],"robust.":[147],"Meanwhile,":[148],"ISSTES":[149,198],"algorithm":[150],"also":[152],"retrieve":[156],"dataset.":[164],"By":[165],"Comparison":[166],"ISSTES,":[172],"we":[173],"find":[174],"overcome":[177],"disadvantage":[179],"algorithms,":[186],"although":[187],"RMSE":[189],"derived":[191],"using":[193],"lower":[196],"than":[197],"as":[199,208],"whole.":[201],"Hence,":[202],"be":[206],"regarded":[207],"beneficial":[210],"complementarity":[211],"algorithms.":[219]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2016,"cited_by_count":2},{"year":2014,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}