{"id":"https://openalex.org/W4394938982","doi":"https://doi.org/10.1109/tgrs.2024.3391008","title":"Thermal Infrared Hyperspectral Band Selection via Graph Neural Network for Land Surface Temperature Retrieval","display_name":"Thermal Infrared Hyperspectral Band Selection via Graph Neural Network for Land Surface Temperature Retrieval","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4394938982","doi":"https://doi.org/10.1109/tgrs.2024.3391008"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2024.3391008","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2024.3391008","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"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 Transactions on Geoscience and Remote Sensing","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/A5031035100","display_name":"Enyu Zhao","orcid":"https://orcid.org/0000-0001-7165-1861"},"institutions":[{"id":"https://openalex.org/I43313876","display_name":"Dalian Maritime University","ror":"https://ror.org/002b7nr53","country_code":"CN","type":"education","lineage":["https://openalex.org/I43313876"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Enyu Zhao","raw_affiliation_strings":["Center for Hyperspectral Imaging in Remote Sensing (CHIRS), Information Science and Technology College, Dalian Maritime University, Dalian, Liaoning, China","Information Science and Technology College, Center for Hyperspectral Imaging in Remote Sensing (CHIRS), Dalian Maritime University, Dalian, Liaoning, China"],"raw_orcid":"https://orcid.org/0000-0001-7165-1861","affiliations":[{"raw_affiliation_string":"Center for Hyperspectral Imaging in Remote Sensing (CHIRS), Information Science and Technology College, Dalian Maritime University, Dalian, Liaoning, China","institution_ids":["https://openalex.org/I43313876"]},{"raw_affiliation_string":"Information Science and Technology College, Center for Hyperspectral Imaging in Remote Sensing (CHIRS), Dalian Maritime University, Dalian, Liaoning, China","institution_ids":["https://openalex.org/I43313876"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108915481","display_name":"Nianxin Qu","orcid":null},"institutions":[{"id":"https://openalex.org/I43313876","display_name":"Dalian Maritime University","ror":"https://ror.org/002b7nr53","country_code":"CN","type":"education","lineage":["https://openalex.org/I43313876"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Nianxin Qu","raw_affiliation_strings":["Center for Hyperspectral Imaging in Remote Sensing (CHIRS), Information Science and Technology College, Dalian Maritime University, Dalian, Liaoning, China","Information Science and Technology College, Center for Hyperspectral Imaging in Remote Sensing (CHIRS), Dalian Maritime University, Dalian, Liaoning, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Center for Hyperspectral Imaging in Remote Sensing (CHIRS), Information Science and Technology College, Dalian Maritime University, Dalian, Liaoning, China","institution_ids":["https://openalex.org/I43313876"]},{"raw_affiliation_string":"Information Science and Technology College, Center for Hyperspectral Imaging in Remote Sensing (CHIRS), Dalian Maritime University, Dalian, Liaoning, China","institution_ids":["https://openalex.org/I43313876"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100374604","display_name":"Yulei Wang","orcid":"https://orcid.org/0000-0001-6436-5883"},"institutions":[{"id":"https://openalex.org/I43313876","display_name":"Dalian Maritime University","ror":"https://ror.org/002b7nr53","country_code":"CN","type":"education","lineage":["https://openalex.org/I43313876"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yulei Wang","raw_affiliation_strings":["Center for Hyperspectral Imaging in Remote Sensing (CHIRS), Information Science and Technology College, Dalian Maritime University, Dalian, Liaoning, China","Information Science and Technology College, Center for Hyperspectral Imaging in Remote Sensing (CHIRS), Dalian Maritime University, Dalian, Liaoning, China"],"raw_orcid":"https://orcid.org/0000-0001-6436-5883","affiliations":[{"raw_affiliation_string":"Center for Hyperspectral Imaging in Remote Sensing (CHIRS), Information Science and Technology College, Dalian Maritime University, Dalian, Liaoning, China","institution_ids":["https://openalex.org/I43313876"]},{"raw_affiliation_string":"Information Science and Technology College, Center for Hyperspectral Imaging in Remote Sensing (CHIRS), Dalian Maritime University, Dalian, Liaoning, China","institution_ids":["https://openalex.org/I43313876"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032238020","display_name":"Caixia Gao","orcid":"https://orcid.org/0000-0003-1571-7381"},"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/I4210137199","display_name":"Aerospace Information Research Institute","ror":"https://ror.org/0419fj215","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Caixia Gao","raw_affiliation_strings":["Key Laboratory of Quantitative Remote Sensing Information Technology, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China","Aerospace Information Research Institute, Key Laboratory of Quantitative Remote Sensing Information Technology, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-1571-7381","affiliations":[{"raw_affiliation_string":"Key Laboratory of Quantitative Remote Sensing Information Technology, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]},{"raw_affiliation_string":"Aerospace Information Research Institute, Key Laboratory of Quantitative Remote Sensing Information Technology, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055755007","display_name":"Si\u2010Bo Duan","orcid":"https://orcid.org/0000-0002-4390-2421"},"institutions":[{"id":"https://openalex.org/I4210108914","display_name":"Institute of Agricultural Resources and Regional Planning","ror":"https://ror.org/01nrzdp21","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210108914","https://openalex.org/I4210127390","https://openalex.org/I4210138501","https://openalex.org/I4210151987"]},{"id":"https://openalex.org/I4210138501","display_name":"Chinese Academy of Agricultural Sciences","ror":"https://ror.org/0313jb750","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210127390","https://openalex.org/I4210138501","https://openalex.org/I4210151987"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Si-Bo Duan","raw_affiliation_strings":["Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-4390-2421","affiliations":[{"raw_affiliation_string":"Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210108914","https://openalex.org/I4210138501"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049128695","display_name":"Jian Zeng","orcid":"https://orcid.org/0000-0002-8261-3403"},"institutions":[{"id":"https://openalex.org/I4210092591","display_name":"China Centre for Resources Satellite Data and Application","ror":"https://ror.org/00ft0fw96","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210092591"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jian Zeng","raw_affiliation_strings":["China Center for Resources Satellite Data and Application, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"China Center for Resources Satellite Data and Application, Beijing, China","institution_ids":["https://openalex.org/I4210092591"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101858835","display_name":"Qiang Zhang","orcid":"https://orcid.org/0000-0002-7116-9327"},"institutions":[{"id":"https://openalex.org/I43313876","display_name":"Dalian Maritime University","ror":"https://ror.org/002b7nr53","country_code":"CN","type":"education","lineage":["https://openalex.org/I43313876"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiang Zhang","raw_affiliation_strings":["Center for Hyperspectral Imaging in Remote Sensing (CHIRS), Information Science and Technology College, Dalian Maritime University, Dalian, Liaoning, China","Information Science and Technology College, Center for Hyperspectral Imaging in Remote Sensing (CHIRS), Dalian Maritime University, Dalian, Liaoning, China"],"raw_orcid":"https://orcid.org/0000-0002-7116-9327","affiliations":[{"raw_affiliation_string":"Center for Hyperspectral Imaging in Remote Sensing (CHIRS), Information Science and Technology College, Dalian Maritime University, Dalian, Liaoning, China","institution_ids":["https://openalex.org/I43313876"]},{"raw_affiliation_string":"Information Science and Technology College, Center for Hyperspectral Imaging in Remote Sensing (CHIRS), Dalian Maritime University, Dalian, Liaoning, China","institution_ids":["https://openalex.org/I43313876"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.2096,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.88013865,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":"62","issue":null,"first_page":"1","last_page":"14"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9994000196456909,"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":0.9994000196456909,"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":0.9922999739646912,"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/T10111","display_name":"Remote Sensing in Agriculture","score":0.9898999929428101,"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/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.8747559785842896},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6627548933029175},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.6395795345306396},{"id":"https://openalex.org/keywords/spectral-bands","display_name":"Spectral bands","score":0.5933821797370911},{"id":"https://openalex.org/keywords/modtran","display_name":"MODTRAN","score":0.5291460156440735},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5259889960289001},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5145255923271179},{"id":"https://openalex.org/keywords/multispectral-image","display_name":"Multispectral image","score":0.4875037372112274},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.458992063999176},{"id":"https://openalex.org/keywords/infrared","display_name":"Infrared","score":0.4303252696990967},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.4213002324104309},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3430917263031006},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.20235034823417664},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.1320800483226776},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.11472350358963013}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.8747559785842896},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6627548933029175},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.6395795345306396},{"id":"https://openalex.org/C114700698","wikidata":"https://www.wikidata.org/wiki/Q2882278","display_name":"Spectral bands","level":2,"score":0.5933821797370911},{"id":"https://openalex.org/C2776445388","wikidata":"https://www.wikidata.org/wiki/Q6716998","display_name":"MODTRAN","level":3,"score":0.5291460156440735},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5259889960289001},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5145255923271179},{"id":"https://openalex.org/C173163844","wikidata":"https://www.wikidata.org/wiki/Q1761440","display_name":"Multispectral image","level":2,"score":0.4875037372112274},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.458992063999176},{"id":"https://openalex.org/C158355884","wikidata":"https://www.wikidata.org/wiki/Q11388","display_name":"Infrared","level":2,"score":0.4303252696990967},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.4213002324104309},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3430917263031006},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.20235034823417664},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.1320800483226776},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.11472350358963013},{"id":"https://openalex.org/C23690007","wikidata":"https://www.wikidata.org/wiki/Q1411145","display_name":"Radiance","level":2,"score":0.0},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tgrs.2024.3391008","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2024.3391008","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"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 Transactions on Geoscience and Remote Sensing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Climate action","id":"https://metadata.un.org/sdg/13","score":0.7300000190734863}],"awards":[{"id":"https://openalex.org/G1874286693","display_name":null,"funder_award_id":"61801075","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7167985160","display_name":null,"funder_award_id":"42271355","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":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":55,"referenced_works":["https://openalex.org/W1982755765","https://openalex.org/W2012206380","https://openalex.org/W2029660080","https://openalex.org/W2055254487","https://openalex.org/W2056658020","https://openalex.org/W2082271913","https://openalex.org/W2127437631","https://openalex.org/W2138038253","https://openalex.org/W2150566919","https://openalex.org/W2292865806","https://openalex.org/W2341121466","https://openalex.org/W2754355658","https://openalex.org/W2937638900","https://openalex.org/W2949739315","https://openalex.org/W2963939798","https://openalex.org/W2964231441","https://openalex.org/W3010117814","https://openalex.org/W3027540008","https://openalex.org/W3034422010","https://openalex.org/W3034566098","https://openalex.org/W3049737467","https://openalex.org/W3096638611","https://openalex.org/W3103615857","https://openalex.org/W3105005050","https://openalex.org/W3107907297","https://openalex.org/W3108907884","https://openalex.org/W3129293716","https://openalex.org/W3137544784","https://openalex.org/W3176037231","https://openalex.org/W3197325378","https://openalex.org/W3197834504","https://openalex.org/W4205183250","https://openalex.org/W4225515009","https://openalex.org/W4226438862","https://openalex.org/W4228996734","https://openalex.org/W4229444897","https://openalex.org/W4229449022","https://openalex.org/W4285189165","https://openalex.org/W4285256423","https://openalex.org/W4293812006","https://openalex.org/W4312039421","https://openalex.org/W4312203760","https://openalex.org/W4312761526","https://openalex.org/W4313888889","https://openalex.org/W4317907976","https://openalex.org/W4319595233","https://openalex.org/W4320713397","https://openalex.org/W4324393403","https://openalex.org/W4381733617","https://openalex.org/W4385863660","https://openalex.org/W4386825350","https://openalex.org/W4386825387","https://openalex.org/W4387336491","https://openalex.org/W4387350468","https://openalex.org/W4388726190"],"related_works":["https://openalex.org/W2022304901","https://openalex.org/W2018850895","https://openalex.org/W1987483041","https://openalex.org/W2988577871","https://openalex.org/W4391030644","https://openalex.org/W4205174160","https://openalex.org/W2084145074","https://openalex.org/W1982418987","https://openalex.org/W1978077614","https://openalex.org/W2160357252"],"abstract_inverted_index":{"Thermal":[0],"infrared":[1,58,72,229,246],"hyperspectral":[2,59,73,230,247],"imagery":[3],"presents":[4],"a":[5,24,53,79,87,106,110,144,160,199,223,238],"superior":[6],"capability":[7],"for":[8,28,66,129,167,182,186,232],"capturing":[9],"intricate":[10],"spectral":[11],"details":[12],"of":[13,56,115,162,194,205,227,244],"atmospheres":[14],"and":[15,41,125,184],"ground":[16],"objects":[17],"compared":[18],"to":[19,95,140,150,220,241],"multispectral":[20],"images,":[21],"thus":[22,236],"offering":[23,237],"more":[25,123],"nuanced":[26],"dataset":[27],"land":[29],"surface":[30],"temperature":[31,93],"(LST)":[32],"retrieval.":[33,68,169],"However,":[34],"extensive":[35],"inter-band":[36],"correlations":[37],"pose":[38],"computational":[39],"challenges":[40],"undesirable":[42],"\u201cdimension":[43],"disaster\u201d":[44],"problem.":[45],"To":[46],"address":[47],"this":[48,50],"issue,":[49],"paper":[51],"proposes":[52],"purpose-built":[54],"framework":[55],"thermal":[57,71,228,245],"band":[60,97,103],"selection":[61,146],"using":[62],"graph":[63,80,88],"neural":[64],"network":[65],"LST":[67,168,233],"Specifically,":[69],"the":[70,101,131,152,171,192,195,217,242],"data":[74],"is":[75,148],"firstly":[76],"mapped":[77],"onto":[78],"topology,":[81],"followed":[82],"by":[83],"feeding":[84],"it":[85],"into":[86],"attention":[89],"module":[90,113,147],"with":[91,118,164,198],"brightness":[92],"constraints":[94],"extract":[96],"features.":[98],"Following":[99],"this,":[100],"extracted":[102],"features":[104],"undergo":[105],"comprehensive":[107],"analysis":[108],"through":[109],"multi-scale":[111],"convolution":[112,116],"consisting":[114],"kernels":[117],"multiple":[119],"sizes,":[120],"which":[121],"has":[122],"variety":[124],"larger":[126],"receptive":[127],"fields":[128],"calculating":[130],"correlation":[132],"between":[133],"different":[134,138],"bands":[135,153,163,231],"features,":[136],"assigning":[137],"weights":[139],"each":[141],"band.":[142],"Finally,":[143],"weight":[145],"designed":[149,172],"filter":[151],"based":[154],"on":[155,211],"their":[156],"assigned":[157],"weights,":[158],"creating":[159],"subset":[161,226],"greater":[165],"significance":[166],"Training":[170],"model,":[173,197],"65100":[174],"observations":[175],"are":[176],"simulated":[177],"utilizing":[178],"MODTRAN,":[179],"80%":[180],"allocated":[181],"training":[183],"20%":[185],"testing.":[187],"The":[188],"experimental":[189],"results":[190],"validate":[191],"effectiveness":[193],"proposed":[196],"Root":[200],"Mean":[201],"Square":[202],"Error":[203],"(RMSE)":[204],"1.85":[206],"K":[207],"in":[208],"practical":[209],"applications":[210],"IASI":[212],"imagery.":[213],"This":[214],"accomplishment":[215],"substantiates":[216],"model\u2019s":[218],"capacity":[219],"reliably":[221],"employ":[222],"judiciously":[224],"selected":[225],"retrieval":[234],"applications,":[235],"promising":[239],"contribution":[240],"advancement":[243],"image":[248],"processing":[249],"methodologies.":[250]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":8}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}