{"id":"https://openalex.org/W2155607498","doi":"https://doi.org/10.1109/igarss.2005.1525720","title":"A study of application of rough sets theory in vegetation classification of remote sensing image","display_name":"A study of application of rough sets theory in vegetation classification of remote sensing image","publication_year":2005,"publication_date":"2005-11-15","ids":{"openalex":"https://openalex.org/W2155607498","doi":"https://doi.org/10.1109/igarss.2005.1525720","mag":"2155607498"},"language":"en","primary_location":{"id":"doi:10.1109/igarss.2005.1525720","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2005.1525720","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings. 2005 IEEE International Geoscience and Remote Sensing Symposium, 2005. IGARSS '05.","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/A5100559836","display_name":"Longjiang Du","orcid":null},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Longjiang Du","raw_affiliation_strings":["GIS Institute of Peking University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"GIS Institute of Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100664314","display_name":"Yi Zhang","orcid":"https://orcid.org/0000-0002-0959-2853"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yi Zhang","raw_affiliation_strings":["GIS Institute of Peking University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"GIS Institute of Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032394700","display_name":"Yuan Tian","orcid":"https://orcid.org/0000-0001-5265-0177"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuan Tian","raw_affiliation_strings":["GIS Institute of Peking University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"GIS Institute of Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5027351570","display_name":"Zhenji Gao","orcid":"https://orcid.org/0009-0007-9106-039X"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhenji Gao","raw_affiliation_strings":["GIS Institute of Peking University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"GIS Institute of Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I20231570"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.20226662,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"6","issue":null,"first_page":"3737","last_page":"3740"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13734","display_name":"Advanced Computational Techniques and Applications","score":0.992900013923645,"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"}},{"id":"https://openalex.org/T14339","display_name":"Image Processing and 3D Reconstruction","score":0.958899974822998,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/vegetation","display_name":"Vegetation (pathology)","score":0.7022842168807983},{"id":"https://openalex.org/keywords/rough-set","display_name":"Rough set","score":0.7021042108535767},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.6509798765182495},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.6132311224937439},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5967223644256592},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4899879992008209},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4464183449745178},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.4295557737350464},{"id":"https://openalex.org/keywords/vegetation-classification","display_name":"Vegetation classification","score":0.42159950733184814},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.39311492443084717},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.23656687140464783}],"concepts":[{"id":"https://openalex.org/C2776133958","wikidata":"https://www.wikidata.org/wiki/Q7918366","display_name":"Vegetation (pathology)","level":2,"score":0.7022842168807983},{"id":"https://openalex.org/C111012933","wikidata":"https://www.wikidata.org/wiki/Q3137210","display_name":"Rough set","level":2,"score":0.7021042108535767},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.6509798765182495},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.6132311224937439},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5967223644256592},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4899879992008209},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4464183449745178},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.4295557737350464},{"id":"https://openalex.org/C2776054349","wikidata":"https://www.wikidata.org/wiki/Q18648871","display_name":"Vegetation classification","level":3,"score":0.42159950733184814},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.39311492443084717},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.23656687140464783},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","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.2005.1525720","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2005.1525720","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings. 2005 IEEE International Geoscience and Remote Sensing Symposium, 2005. IGARSS '05.","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Life in Land","score":0.6499999761581421,"id":"https://metadata.un.org/sdg/15"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":3,"referenced_works":["https://openalex.org/W2043068737","https://openalex.org/W2127336911","https://openalex.org/W4255833381"],"related_works":["https://openalex.org/W2981611434","https://openalex.org/W1990665660","https://openalex.org/W199225318","https://openalex.org/W2026951146","https://openalex.org/W15079738","https://openalex.org/W2373150498","https://openalex.org/W2117616466","https://openalex.org/W3027589277","https://openalex.org/W3111066618","https://openalex.org/W3193629973"],"abstract_inverted_index":{"During":[0],"the":[1,4,16],"recent":[2],"years,":[3],"topic":[5],"of":[6,18,40,48,53,64],"image":[7,41],"classification":[8,63,79],"has":[9],"become":[10],"more":[11,37],"complex":[12],"but":[13],"inspiring":[14],"with":[15,56],"development":[17,50],"subjects":[19],"such":[20,28],"as":[21],"nerve":[22,58],"network,":[23,59],"and":[24,51],"genetic":[25],"algorithm.":[26],"Under":[27],"a":[29,36,46],"condition,":[30],"many":[31],"scholars":[32],"are":[33],"working":[34],"toward":[35],"intelligent":[38],"method":[39],"classification.":[42],"This":[43],"study":[44,68],"provides":[45],"review":[47],"latest":[49],"achievement":[52],"RS,":[54],"combined":[55],"artificial":[57],"application":[60],"to":[61],"vegetation":[62,78],"image.":[65],"A":[66],"case":[67],"is":[69],"also":[70],"conducted":[71],"in":[72],"our":[73],"analysis.":[74],"Keywords-rough":[75],"sets;remote":[76],"sensing;":[77]},"counts_by_year":[],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}
