{"id":"https://openalex.org/W2144274776","doi":"https://doi.org/10.1109/igarss.2008.4779831","title":"RBF Neural Network Supported Classification of Remote Sensing Images Based on TM/ETM+ in Nanjing","display_name":"RBF Neural Network Supported Classification of Remote Sensing Images Based on TM/ETM+ in Nanjing","publication_year":2008,"publication_date":"2008-01-01","ids":{"openalex":"https://openalex.org/W2144274776","doi":"https://doi.org/10.1109/igarss.2008.4779831","mag":"2144274776"},"language":"en","primary_location":{"id":"doi:10.1109/igarss.2008.4779831","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2008.4779831","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2008 - 2008 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://ink.library.smu.edu.sg/sis_research/5452","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5055943045","display_name":"Kai Cao","orcid":"https://orcid.org/0000-0002-8043-1462"},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"HK","type":"education","lineage":["https://openalex.org/I177725633"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Cao Kai","raw_affiliation_strings":["Department of Geography and Resource Management, Chinese University of Hong Kong, New Territories, Hong Kong, China","Dept. of Geogr. & Resource Manage., Chinese Univ. of Hong Kong, Hong Kong"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Geography and Resource Management, Chinese University of Hong Kong, New Territories, Hong Kong, China","institution_ids":["https://openalex.org/I177725633"]},{"raw_affiliation_string":"Dept. of Geogr. & Resource Manage., Chinese Univ. of Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I177725633"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100705731","display_name":"Bo Huang","orcid":"https://orcid.org/0000-0002-5063-3522"},"institutions":[{"id":"https://openalex.org/I152031979","display_name":"Nanjing Normal University","ror":"https://ror.org/036trcv74","country_code":"CN","type":"education","lineage":["https://openalex.org/I152031979"]},{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"HK","type":"education","lineage":["https://openalex.org/I177725633"]}],"countries":["CN","HK"],"is_corresponding":false,"raw_author_name":"Huang Bo","raw_affiliation_strings":["Department of Geography and Resource Management, Chinese University of Hong Kong, New Territories, Hong Kong, China","Sch. of Geogr. Sci., Nanjing Normal Univ., Nanjing"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Geography and Resource Management, Chinese University of Hong Kong, New Territories, Hong Kong, China","institution_ids":["https://openalex.org/I177725633"]},{"raw_affiliation_string":"Sch. of Geogr. Sci., Nanjing Normal Univ., Nanjing","institution_ids":["https://openalex.org/I152031979"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072554975","display_name":"Heng L\u00fc","orcid":"https://orcid.org/0000-0002-3649-0983"},"institutions":[{"id":"https://openalex.org/I152031979","display_name":"Nanjing Normal University","ror":"https://ror.org/036trcv74","country_code":"CN","type":"education","lineage":["https://openalex.org/I152031979"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lu Heng","raw_affiliation_strings":["School of Geography Science, Nanjing Normal University, Nanjing, China","Sch. of Geogr. Sci., Nanjing Normal Univ., Nanjing"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Geography Science, Nanjing Normal University, Nanjing, China","institution_ids":["https://openalex.org/I152031979"]},{"raw_affiliation_string":"Sch. of Geogr. Sci., Nanjing Normal Univ., Nanjing","institution_ids":["https://openalex.org/I152031979"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103266074","display_name":"Biao Liu","orcid":"https://orcid.org/0009-0001-7004-9470"},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"HK","type":"education","lineage":["https://openalex.org/I177725633"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Liu Biao","raw_affiliation_strings":["Institute of Space &Earth Information Science, Chinese University of Hong Kong, New Territories, Hong Kong, China","Inst. of Space&Earth Inf. Sci., Chinese Univ. of Hong Kong, Hong Kong"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Space &Earth Information Science, Chinese University of Hong Kong, New Territories, Hong Kong, China","institution_ids":["https://openalex.org/I177725633"]},{"raw_affiliation_string":"Inst. of Space&Earth Inf. Sci., Chinese Univ. of Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I177725633"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.26206897,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"56","issue":null,"first_page":"IV ","last_page":" 750"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13890","display_name":"Remote Sensing and Land Use","score":0.9958999752998352,"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"}},"topics":[{"id":"https://openalex.org/T13890","display_name":"Remote Sensing and Land Use","score":0.9958999752998352,"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":0.963100016117096,"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/T13734","display_name":"Advanced Computational Techniques and Applications","score":0.9506000280380249,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.7542758584022522},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6776250600814819},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.5801325440406799},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.5632209777832031},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5513616800308228},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5080296993255615},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.5033132433891296},{"id":"https://openalex.org/keywords/data-classification","display_name":"Data classification","score":0.4267755448818207},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.41744890809059143},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3258558511734009},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.29078948497772217},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.160299152135849}],"concepts":[{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.7542758584022522},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6776250600814819},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.5801325440406799},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.5632209777832031},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5513616800308228},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5080296993255615},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.5033132433891296},{"id":"https://openalex.org/C2780724565","wikidata":"https://www.wikidata.org/wiki/Q5227256","display_name":"Data classification","level":2,"score":0.4267755448818207},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.41744890809059143},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3258558511734009},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.29078948497772217},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.160299152135849},{"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/igarss.2008.4779831","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2008.4779831","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2008 - 2008 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"},{"id":"pmh:oai:ink.library.smu.edu.sg:sis_research-6455","is_oa":true,"landing_page_url":"https://ink.library.smu.edu.sg/sis_research/5452","pdf_url":null,"source":{"id":"https://openalex.org/S4306401925","display_name":"Singapore Management University Institutional Knowledge (InK) (Singapore Management University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I79891267","host_organization_name":"Singapore Management University","host_organization_lineage":["https://openalex.org/I79891267"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference Proceeding Article"},{"id":"pmh:oai:zenodo.org:1272703","is_oa":true,"landing_page_url":"https://zenodo.org/record/1272703","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"public-domain","license_id":"https://openalex.org/licenses/public-domain","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/conferencePaper"}],"best_oa_location":{"id":"pmh:oai:ink.library.smu.edu.sg:sis_research-6455","is_oa":true,"landing_page_url":"https://ink.library.smu.edu.sg/sis_research/5452","pdf_url":null,"source":{"id":"https://openalex.org/S4306401925","display_name":"Singapore Management University Institutional Knowledge (InK) (Singapore Management University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I79891267","host_organization_name":"Singapore Management University","host_organization_lineage":["https://openalex.org/I79891267"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference Proceeding Article"},"sustainable_development_goals":[{"score":0.5899999737739563,"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W28751035","https://openalex.org/W1524100745","https://openalex.org/W1526428665","https://openalex.org/W2013062088","https://openalex.org/W2020276811","https://openalex.org/W2062169322","https://openalex.org/W2081346329","https://openalex.org/W2095190520","https://openalex.org/W2102743925","https://openalex.org/W2142909879","https://openalex.org/W2144120083","https://openalex.org/W2148842444","https://openalex.org/W2153904408","https://openalex.org/W2157890204","https://openalex.org/W2164872084","https://openalex.org/W2171054798","https://openalex.org/W2521039468","https://openalex.org/W2800394774","https://openalex.org/W3017143921","https://openalex.org/W4285719527","https://openalex.org/W6601151140","https://openalex.org/W6631266481","https://openalex.org/W6631321490","https://openalex.org/W6675677689","https://openalex.org/W6727380617"],"related_works":["https://openalex.org/W4322731620","https://openalex.org/W2168809519","https://openalex.org/W2182664383","https://openalex.org/W2911956839","https://openalex.org/W2088230222","https://openalex.org/W2127154329","https://openalex.org/W2182653503","https://openalex.org/W2974328778","https://openalex.org/W2120924951","https://openalex.org/W2170083533"],"abstract_inverted_index":{"The":[0,59,159],"classification":[1,24,38,105,174],"of":[2,15,36,61,70,93,115,165,175],"remote":[3,108,176],"sensing":[4,109,177],"images":[5],"is":[6,47,66,139,150,168],"more":[7,9],"and":[8,17,100,128,145,195,205],"important":[10],"along":[11],"with":[12],"the":[13,21,29,31,34,54,94,113,116,129,134,154,163,173,198,203],"development":[14],"society":[16],"economy.":[18],"According":[19],"to":[20,52,82,102,192],"defects":[22],"general":[23],"methods":[25],"have,":[26],"such":[27,201],"as":[28,202],"accuracy,":[30],"efficiency":[32],"etc,":[33],"design":[35],"`robust'":[37],"system":[39],"based":[40,181],"on":[41,107,182],"a":[42,91,169],"Gaussian":[43],"RBF":[44,166],"neural":[45,63],"Network":[46],"used":[48],"in":[49,57,118,125,133,178,197],"this":[50,62,126,146,179],"article":[51],"classify":[53],"TM/ETM+":[55],"image":[56],"Nanjing.":[58],"choice":[60],"network":[64],"model":[65,117,157,164],"justified":[67],"by":[68],"some":[69],"its":[71],"particular":[72],"properties,":[73],"i.":[74],"e.,":[75],"local":[76],"learning,":[77],"fast":[78],"training":[79,98],"phase,":[80],"ability":[81],"recognize":[83],"when":[84],"an":[85],"input":[86,95],"pattern":[87],"has":[88],"fallen":[89],"into":[90],"region":[92],"space":[96],"without":[97],"data,":[99],"capability":[101],"provide":[103],"high":[104],"accuracies":[106],"images.":[110],"For":[111],"appraising":[112],"precision":[114],"brief,":[119],"over":[120],"1000":[121],"examples":[122],"are":[123,187],"chosen":[124],"research,":[127],"result":[130,160],"shows":[131],"that":[132,162],"whole":[135],"research":[136,200],"area":[137,180],"there":[138,186],"obvious":[140],"improvement":[141],"(86.6-89.7%)":[142],"between":[143],"MLC":[144],"model.":[147],"Besides,":[148],"it":[149],"also":[151,188],"better":[152],"than":[153],"MLP":[155],"NN":[156,167],"(87.9-89.7%).":[158],"indicates":[161],"good":[170],"approach":[171],"for":[172,206],"TM/ETM+.":[183],"Of":[184],"course,":[185],"many":[189],"aspects":[190],"need":[191],"be":[193],"revised":[194],"improved":[196],"future":[199],"accuracy":[204],"other":[207],"data":[208],"source.":[209]},"counts_by_year":[{"year":2015,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}