{"id":"https://openalex.org/W2053253267","doi":"https://doi.org/10.1109/geoinformatics.2010.5567695","title":"The extraction of water information based on SPOT5 image using object-oriented method","display_name":"The extraction of water information based on SPOT5 image using object-oriented method","publication_year":2010,"publication_date":"2010-06-01","ids":{"openalex":"https://openalex.org/W2053253267","doi":"https://doi.org/10.1109/geoinformatics.2010.5567695","mag":"2053253267"},"language":"en","primary_location":{"id":"doi:10.1109/geoinformatics.2010.5567695","is_oa":false,"landing_page_url":"https://doi.org/10.1109/geoinformatics.2010.5567695","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 18th International Conference on Geoinformatics","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/A5015577871","display_name":"Yujuan Yue","orcid":"https://orcid.org/0000-0002-6949-6820"},"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/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":"Yujuan Yue","raw_affiliation_strings":["State Key Lab of Remote Sensing Science, Institute of Remote Sensing Applications, Chinese Academy and Sciences, Beijing, China","State Key Lab. of Remote Sensing Science, Inst. of Remote Sensing Applications, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Lab of Remote Sensing Science, Institute of Remote Sensing Applications, Chinese Academy and Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210166112"]},{"raw_affiliation_string":"State Key Lab. of Remote Sensing Science, Inst. of Remote Sensing Applications, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111792151","display_name":"Jianhua Gong","orcid":null},"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/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":"Jianhua Gong","raw_affiliation_strings":["State Key Lab of Remote Sensing Science, Institute of Remote Sensing Applications, Chinese Academy and Sciences, Beijing, China","State Key Lab. of Remote Sensing Science, Inst. of Remote Sensing Applications, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Lab of Remote Sensing Science, Institute of Remote Sensing Applications, Chinese Academy and Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210166112"]},{"raw_affiliation_string":"State Key Lab. of Remote Sensing Science, Inst. of Remote Sensing Applications, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I19820366"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5072288938","display_name":"Dongchuan Wang","orcid":"https://orcid.org/0000-0001-7422-4291"},"institutions":[{"id":"https://openalex.org/I168673124","display_name":"Tianjin Chengjian University","ror":"https://ror.org/01d0bkz51","country_code":"CN","type":"education","lineage":["https://openalex.org/I168673124"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dongchuan Wang","raw_affiliation_strings":["Tianjin Institute of Urban Constructions, Tianjin, China","Tianjin Institute of Urban Construction, Tianjin, China, 300384"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tianjin Institute of Urban Constructions, Tianjin, China","institution_ids":["https://openalex.org/I168673124"]},{"raw_affiliation_string":"Tianjin Institute of Urban Construction, Tianjin, China, 300384","institution_ids":["https://openalex.org/I168673124"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.2425,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.63990826,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"72","issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13890","display_name":"Remote Sensing and Land Use","score":0.9944000244140625,"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":0.9944000244140625,"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":0.9796000123023987,"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":0.9753000140190125,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.7364981174468994},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7078172564506531},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.6373762488365173},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6052575707435608},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.588003396987915},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5695290565490723},{"id":"https://openalex.org/keywords/water-body","display_name":"Water body","score":0.5635895729064941},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5584380030632019},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5177873373031616},{"id":"https://openalex.org/keywords/image-texture","display_name":"Image texture","score":0.5018477439880371},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4645165503025055},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.4410092234611511},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.4344474673271179},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.4260631799697876},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.09690269827842712}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7364981174468994},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7078172564506531},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.6373762488365173},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6052575707435608},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.588003396987915},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5695290565490723},{"id":"https://openalex.org/C2986309107","wikidata":"https://www.wikidata.org/wiki/Q15324","display_name":"Water body","level":2,"score":0.5635895729064941},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5584380030632019},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5177873373031616},{"id":"https://openalex.org/C63099799","wikidata":"https://www.wikidata.org/wiki/Q17147001","display_name":"Image texture","level":4,"score":0.5018477439880371},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4645165503025055},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.4410092234611511},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.4344474673271179},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.4260631799697876},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.09690269827842712},{"id":"https://openalex.org/C187320778","wikidata":"https://www.wikidata.org/wiki/Q1349130","display_name":"Geotechnical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/geoinformatics.2010.5567695","is_oa":false,"landing_page_url":"https://doi.org/10.1109/geoinformatics.2010.5567695","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 18th International Conference on Geoinformatics","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Clean water and sanitation","score":0.7300000190734863,"id":"https://metadata.un.org/sdg/6"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W331016859","https://openalex.org/W2088061403","https://openalex.org/W2124706543","https://openalex.org/W2356629790","https://openalex.org/W2364110699","https://openalex.org/W2369112559","https://openalex.org/W2372897009","https://openalex.org/W2379105857","https://openalex.org/W2920851675","https://openalex.org/W6611401332"],"related_works":["https://openalex.org/W4360784979","https://openalex.org/W3017192027","https://openalex.org/W2204605857","https://openalex.org/W1996489018","https://openalex.org/W2007664797","https://openalex.org/W2120981610","https://openalex.org/W3129669851","https://openalex.org/W2360759360","https://openalex.org/W2799097543","https://openalex.org/W3196005494"],"abstract_inverted_index":{"The":[0,93],"paper":[1],"realizes":[2],"water":[3,68,108],"body":[4,69],"extraction":[5,110],"well":[6],"using":[7],"object-oriented":[8,103],"classification":[9,58,101,104,116],"method":[10,23,54,105],"based":[11,24],"on":[12,25],"SPOT5":[13,73],"image.":[14],"Firstly,":[15],"segment":[16],"image":[17,21,74],"according":[18,37],"to":[19,38,55],"multi-scale":[20],"segmentation":[22],"edge-detection":[26],"algorithm.":[27],"Secondly,":[28],"determine":[29],"various":[30],"characteristic":[31],"parameters":[32],"in":[33,75,81,107],"land":[34],"surface":[35],"features":[36],"object":[39,57],"characteristics":[40],"such":[41],"as":[42,89],"spectrum,":[43],"shape":[44],"and":[45,66,114],"texture.":[46],"And":[47],"thirdly,":[48],"use":[49],"SVM":[50],"(Support":[51],"Vector":[52],"Machine)":[53],"achieve":[56],"through":[59],"the":[60,63],"establishment":[61],"of":[62,78],"sample":[64],"rules,":[65],"extract":[67],"successfully.":[70],"It":[71],"takes":[72],"Xiaojiaqiao":[76],"section":[77],"Chaping":[79],"River":[80],"Anxian":[82],"County,":[83],"Mianyang":[84],"City,":[85],"Sichuan":[86],"Province,":[87],"China":[88],"a":[90],"case":[91],"study.":[92],"results":[94],"show":[95],"that,":[96],"compared":[97],"with":[98],"pixel-oriented":[99],"supervised":[100],"method,":[102],"applied":[106],"information":[109],"is":[111,118],"more":[112],"effective":[113],"its":[115],"accuracy":[117],"higher.":[119]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":2},{"year":2014,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}