{"id":"https://openalex.org/W1549983020","doi":"https://doi.org/10.1109/igarss.2004.1369863","title":"The method research of city vegetation information abstraction based on high-resolution IKONOS image","display_name":"The method research of city vegetation information abstraction based on high-resolution IKONOS image","publication_year":2004,"publication_date":"2004-12-23","ids":{"openalex":"https://openalex.org/W1549983020","doi":"https://doi.org/10.1109/igarss.2004.1369863","mag":"1549983020"},"language":"en","primary_location":{"id":"doi:10.1109/igarss.2004.1369863","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2004.1369863","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE International IEEE International IEEE International Geoscience and Remote Sensing Symposium, 2004. IGARSS '04. Proceedings. 2004","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/A5101026525","display_name":"Yansong Bao","orcid":null},"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"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yansong Bao","raw_affiliation_strings":["School of Geography State key Laboratory of Remote Sensing Science, Research Center of Remote Sensing and GIS, Beijing, China","Res. Center for Remote Sensing & GIS, State Key Lab. of Remote Sensing Sci., Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Geography State key Laboratory of Remote Sensing Science, Research Center of Remote Sensing and GIS, Beijing, China","institution_ids":["https://openalex.org/I4210166112"]},{"raw_affiliation_string":"Res. Center for Remote Sensing & GIS, State Key Lab. of Remote Sensing Sci., Beijing, China","institution_ids":["https://openalex.org/I4210166112"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100717706","display_name":"Xiaowen Li","orcid":"https://orcid.org/0000-0002-4281-4091"},"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"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaowen Li","raw_affiliation_strings":["School of Geography State key Laboratory of Remote Sensing Science, Research Center of Remote Sensing and GIS, Beijing, China","Res. Center for Remote Sensing & GIS, State Key Lab. of Remote Sensing Sci., Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Geography State key Laboratory of Remote Sensing Science, Research Center of Remote Sensing and GIS, Beijing, China","institution_ids":["https://openalex.org/I4210166112"]},{"raw_affiliation_string":"Res. Center for Remote Sensing & GIS, State Key Lab. of Remote Sensing Sci., Beijing, China","institution_ids":["https://openalex.org/I4210166112"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077312657","display_name":"Wang Changzuo","orcid":null},"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"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Changzuo Wang","raw_affiliation_strings":["School of Geography State key Laboratory of Remote Sensing Science, Research Center of Remote Sensing and GIS, Beijing, China","Res. Center for Remote Sensing & GIS, State Key Lab. of Remote Sensing Sci., Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Geography State key Laboratory of Remote Sensing Science, Research Center of Remote Sensing and GIS, Beijing, China","institution_ids":["https://openalex.org/I4210166112"]},{"raw_affiliation_string":"Res. Center for Remote Sensing & GIS, State Key Lab. of Remote Sensing Sci., Beijing, China","institution_ids":["https://openalex.org/I4210166112"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100610291","display_name":"Jihua Wang","orcid":"https://orcid.org/0000-0003-2105-9514"},"institutions":[{"id":"https://openalex.org/I4210156423","display_name":"National Engineering Research Center for Information Technology in Agriculture","ror":"https://ror.org/04c3j3t84","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210156423"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jihua Wang","raw_affiliation_strings":["Technology in Agriculture, National Engineering Research Center for Information Security, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Technology in Agriculture, National Engineering Research Center for Information Security, Beijing, China","institution_ids":["https://openalex.org/I4210156423"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5107865072","display_name":"Liangyun Liu","orcid":"https://orcid.org/0000-0002-7987-037X"},"institutions":[{"id":"https://openalex.org/I4210156423","display_name":"National Engineering Research Center for Information Technology in Agriculture","ror":"https://ror.org/04c3j3t84","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210156423"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liangyun Liu","raw_affiliation_strings":["Technology in Agriculture, National Engineering Research Center for Information Security, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Technology in Agriculture, National Engineering Research Center for Information Security, Beijing, China","institution_ids":["https://openalex.org/I4210156423"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5101026525"],"corresponding_institution_ids":["https://openalex.org/I4210166112"],"apc_list":null,"apc_paid":null,"fwci":0.2547,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.58684805,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"4","issue":null,"first_page":"2720","last_page":"2723"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13890","display_name":"Remote Sensing and Land Use","score":0.9797999858856201,"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":0.9797999858856201,"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":0.9399999976158142,"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/shadow","display_name":"Shadow (psychology)","score":0.8812854290008545},{"id":"https://openalex.org/keywords/vegetation","display_name":"Vegetation (pathology)","score":0.7024602890014648},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6101767420768738},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.5831252336502075},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5387367606163025},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.5105100870132446},{"id":"https://openalex.org/keywords/abstraction","display_name":"Abstraction","score":0.5033621191978455},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4720474183559418},{"id":"https://openalex.org/keywords/texture","display_name":"Texture (cosmology)","score":0.4461004436016083},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.41979801654815674},{"id":"https://openalex.org/keywords/high-resolution","display_name":"High resolution","score":0.4121842086315155},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.2506067156791687}],"concepts":[{"id":"https://openalex.org/C117797892","wikidata":"https://www.wikidata.org/wiki/Q286363","display_name":"Shadow (psychology)","level":2,"score":0.8812854290008545},{"id":"https://openalex.org/C2776133958","wikidata":"https://www.wikidata.org/wiki/Q7918366","display_name":"Vegetation (pathology)","level":2,"score":0.7024602890014648},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6101767420768738},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5831252336502075},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5387367606163025},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.5105100870132446},{"id":"https://openalex.org/C124304363","wikidata":"https://www.wikidata.org/wiki/Q673661","display_name":"Abstraction","level":2,"score":0.5033621191978455},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4720474183559418},{"id":"https://openalex.org/C2781195486","wikidata":"https://www.wikidata.org/wiki/Q289436","display_name":"Texture (cosmology)","level":3,"score":0.4461004436016083},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.41979801654815674},{"id":"https://openalex.org/C3020199158","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"High resolution","level":2,"score":0.4121842086315155},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.2506067156791687},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C542102704","wikidata":"https://www.wikidata.org/wiki/Q183257","display_name":"Psychotherapist","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss.2004.1369863","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2004.1369863","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE International IEEE International IEEE International Geoscience and Remote Sensing Symposium, 2004. IGARSS '04. Proceedings. 2004","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8100000023841858,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":1,"referenced_works":["https://openalex.org/W2784599576"],"related_works":["https://openalex.org/W2893218741","https://openalex.org/W2558319350","https://openalex.org/W1492594177","https://openalex.org/W1842742976","https://openalex.org/W2803235238","https://openalex.org/W2045155990","https://openalex.org/W4313163053","https://openalex.org/W399661440","https://openalex.org/W410356389","https://openalex.org/W1992929574"],"abstract_inverted_index":{"In":[0,30,82,148],"the":[1,18,21,25,43,46,63,71,87,93,104,115,125,130,135,149,165,180,196],"first":[2],"part":[3,151],"of":[4,20,49,59,65,110,138,152,207],"this":[5,31,83,153],"article,":[6,32,84,154],"traditional":[7],"methods":[8,156],"for":[9,119],"deriving":[10],"city":[11,40,50,120,161],"vegetation":[12,51,139,162,166],"information":[13],"through":[14,52,103],"remotely":[15],"sensed":[16],"images,":[17],"study":[19],"area's":[22],"characteristics":[23],"and":[24,91,175,187],"research":[26],"flow":[27],"are":[28,36,157,185],"introduced.":[29],"two":[33],"main":[34],"issues":[35],"studied,":[37],"one":[38],"is":[39,45,62,132,191,194,200],"shadow":[41,64,76,94,111,123,131],"correction,":[42,124],"other":[44,141],"classifying":[47],"method":[48,78,199,210],"remote":[53],"sensing":[54],"images.":[55],"The":[56,97,108,205],"biggest":[57],"problem":[58],"high-resolution":[60],"images":[61],"high":[66],"buildings.":[67],"City":[68],"shadows":[69],"decrease":[70],"classification":[72,146,183,198,203,209],"accuracy,":[73],"so":[74],"a":[75,169,176,201],"adjustment":[77,95],"must":[79],"be":[80,101],"studied.":[81],"we":[85],"analyze":[86],"radiation":[88],"correction":[89,112,144],"model,":[90],"acquire":[92],"model.":[96],"model's":[98],"parameters":[99],"can":[100,117,211],"calculated":[102,186],"image":[105],"pixel":[106,127,136],"values.":[107],"result":[109],"shows":[113],"that":[114,195],"model":[116],"correct":[118],"shadow.":[121],"After":[122],"vegetation's":[126],"value":[128,137],"in":[129,140],"similar":[133],"to":[134,159],"areas.":[142],"Shadow":[143],"increases":[145],"accuracy.":[147],"second":[150],"three":[155,181],"studied":[158],"derive":[160],"information,":[163],"including":[164],"index":[167],"method,":[168,174],"back":[170],"propagation":[171],"neural":[172],"network":[173],"texture":[177,197,208],"method.":[178,204],"Finally,":[179],"methods'":[182],"accuracies":[184],"appraised.":[188],"A":[189],"conclusion":[190],"drawn,":[192],"which":[193],"good":[202],"accuracy":[206],"reach":[212],"91.53%.":[213]},"counts_by_year":[],"updated_date":"2026-02-25T21:11:00.739837","created_date":"2016-06-24T00:00:00"}
