{"id":"https://openalex.org/W2581480697","doi":"https://doi.org/10.3130/aije.69.79_2","title":"LAND-COVER CLASSIFICATION OF REMOTELY SENSED DATA USING FUZZY FILTER","display_name":"LAND-COVER CLASSIFICATION OF REMOTELY SENSED DATA USING FUZZY FILTER","publication_year":2004,"publication_date":"2004-01-01","ids":{"openalex":"https://openalex.org/W2581480697","doi":"https://doi.org/10.3130/aije.69.79_2","mag":"2581480697"},"language":"en","primary_location":{"id":"doi:10.3130/aije.69.79_2","doi":"https://doi.org/10.3130/aije.69.79_2","is_oa":true,"landing_page_url":"https://doi.org/10.3130/aije.69.79_2","pdf_url":"https://www.jstage.jst.go.jp/article/aije/69/583/69_KJ00004078782/_pdf","source":{"id":"https://openalex.org/S4210216402","display_name":"Journal of Environmental Engineering (Transactions of AIJ)","issn_l":"1348-0685","issn":["1348-0685","1881-817X"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":["poland-40","russia-white-list-4"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Environmental Engineering (Transactions of AIJ)","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://www.jstage.jst.go.jp/article/aije/69/583/69_KJ00004078782/_pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5064037789","display_name":"Iwao Okutani","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I137975476","display_name":"Shinshu University","ror":"https://ror.org/0244rem06","country_code":"JP","type":"education","lineage":["https://openalex.org/I137975476"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Iwao OKUTANI","raw_affiliation_strings":["Dept. of Architecture and Civil Engineering, Faculty of Engineering, Shinshu University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Architecture and Civil Engineering, Faculty of Engineering, Shinshu University","institution_ids":["https://openalex.org/I137975476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103659787","display_name":"Haoxiang Wu","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Haoxiang WU","raw_affiliation_strings":["World Co., Ltd"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"World Co., Ltd","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5010309224","display_name":"Tatsuo Takase","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I137975476","display_name":"Shinshu University","ror":"https://ror.org/0244rem06","country_code":"JP","type":"education","lineage":["https://openalex.org/I137975476"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Tatsuo TAKASE","raw_affiliation_strings":["Dept. of Architecture and Civil Engineering, Faculty of Engineering, Shinshu University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Architecture and Civil Engineering, Faculty of Engineering, Shinshu University","institution_ids":["https://openalex.org/I137975476"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.47907264,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"69","issue":"583","first_page":"79","last_page":"85"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9980000257492065,"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"}},"topics":[{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9980000257492065,"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"}},{"id":"https://openalex.org/T13890","display_name":"Remote Sensing and Land Use","score":0.0017000000225380063,"subfield":{"id":"https://openalex.org/subfields/3305","display_name":"Geography, Planning and Development"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10111","display_name":"Remote Sensing in Agriculture","score":9.999999747378752e-05,"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/land-cover-classification","display_name":"land cover classification","score":0.9860000014305115},{"id":"https://openalex.org/keywords/fuzzy-filtering","display_name":"fuzzy filtering","score":0.8050000071525574},{"id":"https://openalex.org/keywords/fuzzy-numbers","display_name":"fuzzy numbers","score":0.9660000205039978},{"id":"https://openalex.org/keywords/kalman-filter","display_name":"Kalman filter","score":0.9169999957084656},{"id":"https://openalex.org/keywords/spectral-classification","display_name":"spectral classification","score":0.6370000243186951},{"id":"https://openalex.org/keywords/remote-sensing-imagery","display_name":"remote sensing images","score":0.7519999742507935},{"id":"https://openalex.org/keywords/maximum-likelihood-classifier","display_name":"maximum likelihood classification","score":0.6610000133514404},{"id":"https://openalex.org/keywords/linear-discriminant-function","display_name":"linear discriminant function","score":0.746999979019165},{"id":"https://openalex.org/keywords/classification-accuracy","display_name":"classification accuracy","score":0.49900001287460327}],"concepts":[{"id":"https://openalex.org/C2780648208","wikidata":"https://www.wikidata.org/wiki/Q3001793","display_name":"Land cover","level":3,"score":0.5945627689361572},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5465835928916931},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.49738529324531555},{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.4879988729953766},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.48216766119003296},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.46992218494415283},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4606791138648987},{"id":"https://openalex.org/C41771347","wikidata":"https://www.wikidata.org/wiki/Q1228929","display_name":"Discriminant function analysis","level":2,"score":0.4397379457950592},{"id":"https://openalex.org/C69738355","wikidata":"https://www.wikidata.org/wiki/Q1228929","display_name":"Linear discriminant analysis","level":2,"score":0.4259752631187439},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4234619736671448},{"id":"https://openalex.org/C2780428219","wikidata":"https://www.wikidata.org/wiki/Q16952335","display_name":"Cover (algebra)","level":2,"score":0.4200344979763031},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.40292543172836304},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.2879142463207245},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.2397463023662567},{"id":"https://openalex.org/C4792198","wikidata":"https://www.wikidata.org/wiki/Q1165944","display_name":"Land use","level":2,"score":0.14858204126358032},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09528613090515137},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C147176958","wikidata":"https://www.wikidata.org/wiki/Q77590","display_name":"Civil engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3130/aije.69.79_2","doi":"https://doi.org/10.3130/aije.69.79_2","is_oa":true,"landing_page_url":"https://doi.org/10.3130/aije.69.79_2","pdf_url":"https://www.jstage.jst.go.jp/article/aije/69/583/69_KJ00004078782/_pdf","source":{"id":"https://openalex.org/S4210216402","display_name":"Journal of Environmental Engineering (Transactions of AIJ)","issn_l":"1348-0685","issn":["1348-0685","1881-817X"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":["poland-40","russia-white-list-4"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Environmental Engineering (Transactions of AIJ)","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.3130/aije.69.79_2","doi":"https://doi.org/10.3130/aije.69.79_2","is_oa":true,"landing_page_url":"https://doi.org/10.3130/aije.69.79_2","pdf_url":"https://www.jstage.jst.go.jp/article/aije/69/583/69_KJ00004078782/_pdf","source":{"id":"https://openalex.org/S4210216402","display_name":"Journal of Environmental Engineering (Transactions of AIJ)","issn_l":"1348-0685","issn":["1348-0685","1881-817X"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":["poland-40","russia-white-list-4"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Environmental Engineering (Transactions of AIJ)","raw_type":"journal-article"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2581480697.pdf","grobid_xml":"https://content.openalex.org/works/W2581480697.grobid-xml"},"referenced_works_count":2,"referenced_works":["https://openalex.org/W2314072880","https://openalex.org/W2800394774"],"related_works":["https://openalex.org/W401909474","https://openalex.org/W2318816714","https://openalex.org/W2777553708","https://openalex.org/W2016787939","https://openalex.org/W2906805815","https://openalex.org/W1982467212","https://openalex.org/W2110406263","https://openalex.org/W1648556314","https://openalex.org/W2052908338","https://openalex.org/W2137343229"],"abstract_inverted_index":{"In":[0],"this":[1],"study":[2,32],"the":[3,9,23,53,58,90,98,102,132,145,150],"fuzzy":[4,79],"filtering":[5,92,105,152],"algorithm":[6],"enunciated":[7],"by":[8,89,149],"authors":[10],"is":[11,34,63],"employed":[12],"as":[13,78,107,109],"a":[14,39,43],"classifier":[15],"to":[16,26,65,69,141],"accurately":[17],"label":[18],"spectral":[19],"classes":[20],"distinguished":[21],"within":[22],"imagery":[24],"according":[25],"their":[27],"corresponding":[28],"land-cover":[29,61,70],"condition.":[30],"The":[31],"area":[33],"composed":[35],"of":[36,52,60],"two":[37,110],"parts,":[38],"training":[40],"site":[41],"and":[42,85,117],"test":[44],"site,":[45],"each":[46],"divided":[47],"into":[48],"small":[49],"square":[50],"meshes":[51],"size":[54],"200m\u00d7200m":[55],"for":[56],"which":[57],"proportion":[59],"category":[62,72,124,130],"required":[64],"be":[66],"estimated.":[67],"Prior":[68],"classification":[71,125],"specific":[73],"brightness":[74],"spectra":[75],"dealt":[76],"with":[77,83,137],"numbers":[80],"are":[81],"identified,":[82],"centers":[84],"widths":[86],"separately":[87],"determined":[88],"Kalman":[91,104,151],"technique.":[93],"Classification":[94],"results":[95,146],"show":[96],"that":[97],"proposed":[99,133],"method":[100,106,116,121,134],"outperforms":[101],"simple":[103],"well":[108],"conventional":[111],"methods":[112],"or":[113,142],"maximum":[114],"likelihood":[115],"linear":[118],"discriminant":[119],"function":[120],"in":[122],"five":[123],"case.":[126],"As":[127],"regards":[128],"thirteen":[129],"case,":[131],"yields":[135],"estimates":[136],"satisfied":[138],"accuracy":[139],"comparable":[140],"better":[143],"than":[144],"brought":[147],"about":[148],"method.":[153]},"counts_by_year":[],"updated_date":"2026-08-23T07:36:19.812096","created_date":"2017-02-03T00:00:00"}
