{"id":"https://openalex.org/W2053256611","doi":"https://doi.org/10.1080/13658810802587709","title":"An enhanced supervised spatial decision support system of image classification: consideration on the ancillary information of paddy rice area","display_name":"An enhanced supervised spatial decision support system of image classification: consideration on the ancillary information of paddy rice area","publication_year":2010,"publication_date":"2010-03-17","ids":{"openalex":"https://openalex.org/W2053256611","doi":"https://doi.org/10.1080/13658810802587709","mag":"2053256611"},"language":"en","primary_location":{"id":"doi:10.1080/13658810802587709","is_oa":false,"landing_page_url":"https://doi.org/10.1080/13658810802587709","pdf_url":null,"source":{"id":"https://openalex.org/S4210181446","display_name":"International Journal of Geographical Information Systems","issn_l":"0269-3798","issn":["0269-3798","1362-3087"],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547","https://openalex.org/P4310320449"],"host_organization_lineage_names":["Taylor & Francis","Informa"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Geographical Information Science","raw_type":"journal-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/A5029988308","display_name":"S. Wan","orcid":"https://orcid.org/0009-0009-8873-3084"},"institutions":[{"id":"https://openalex.org/I145935303","display_name":"Ling Tung University","ror":"https://ror.org/03vcw8k58","country_code":"TW","type":"education","lineage":["https://openalex.org/I145935303"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"S. Wan","raw_affiliation_strings":["Department of Information Management, Ling Tung University, Taichung, Taiwan, R.O.C"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Information Management, Ling Tung University, Taichung, Taiwan, R.O.C","institution_ids":["https://openalex.org/I145935303"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043480885","display_name":"T. C. Lei","orcid":"https://orcid.org/0009-0006-9672-7264"},"institutions":[{"id":"https://openalex.org/I4880106","display_name":"Feng Chia University","ror":"https://ror.org/05vhczg54","country_code":"TW","type":"education","lineage":["https://openalex.org/I4880106"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"T. C. Lei","raw_affiliation_strings":["Department of Urban Planning and Spatial Information, Feng Chia University, Taichung, Taiwan, R.O.C","Department of Urban Planning and Spatial Information, Feng Chia University, Taichung, Taiwan, R.O.C.#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Urban Planning and Spatial Information, Feng Chia University, Taichung, Taiwan, R.O.C","institution_ids":["https://openalex.org/I4880106"]},{"raw_affiliation_string":"Department of Urban Planning and Spatial Information, Feng Chia University, Taichung, Taiwan, R.O.C.#TAB#","institution_ids":["https://openalex.org/I4880106"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5053008131","display_name":"Tien\u2010Yin Chou","orcid":"https://orcid.org/0000-0001-8676-7832"},"institutions":[{"id":"https://openalex.org/I4880106","display_name":"Feng Chia University","ror":"https://ror.org/05vhczg54","country_code":"TW","type":"education","lineage":["https://openalex.org/I4880106"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"T. Y. Chou","raw_affiliation_strings":["GIS Center, Feng Chia University, Taichung, Taiwan, R.O.C"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"GIS Center, Feng Chia University, Taichung, Taiwan, R.O.C","institution_ids":["https://openalex.org/I4880106"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5029988308"],"corresponding_institution_ids":["https://openalex.org/I145935303"],"apc_list":null,"apc_paid":null,"fwci":2.0638,"has_fulltext":false,"cited_by_count":32,"citation_normalized_percentile":{"value":0.887897,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"24","issue":"4","first_page":"623","last_page":"642"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9948999881744385,"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"}},"topics":[{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9948999881744385,"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":0.9839000105857849,"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"}},{"id":"https://openalex.org/T10616","display_name":"Smart Agriculture and AI","score":0.9692000150680542,"subfield":{"id":"https://openalex.org/subfields/1110","display_name":"Plant Science"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.6219854354858398},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6032849550247192},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5434172749519348},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5308911204338074},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5162913203239441},{"id":"https://openalex.org/keywords/decision-support-system","display_name":"Decision support system","score":0.4976392090320587},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.4654662609100342},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.41695916652679443},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.39048629999160767},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3882351815700531},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.18907776474952698},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.13462939858436584}],"concepts":[{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.6219854354858398},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6032849550247192},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5434172749519348},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5308911204338074},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5162913203239441},{"id":"https://openalex.org/C107327155","wikidata":"https://www.wikidata.org/wiki/Q330268","display_name":"Decision support system","level":2,"score":0.4976392090320587},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.4654662609100342},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.41695916652679443},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.39048629999160767},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3882351815700531},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.18907776474952698},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.13462939858436584}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1080/13658810802587709","is_oa":false,"landing_page_url":"https://doi.org/10.1080/13658810802587709","pdf_url":null,"source":{"id":"https://openalex.org/S4210181446","display_name":"International Journal of Geographical Information Systems","issn_l":"0269-3798","issn":["0269-3798","1362-3087"],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547","https://openalex.org/P4310320449"],"host_organization_lineage_names":["Taylor & Francis","Informa"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Geographical Information Science","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.6600000262260437}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":47,"referenced_works":["https://openalex.org/W1541827045","https://openalex.org/W1575210522","https://openalex.org/W1581230005","https://openalex.org/W1833005471","https://openalex.org/W1985818459","https://openalex.org/W1988502816","https://openalex.org/W1990446846","https://openalex.org/W1993614951","https://openalex.org/W1993650430","https://openalex.org/W2003152098","https://openalex.org/W2004396227","https://openalex.org/W2007697155","https://openalex.org/W2038622951","https://openalex.org/W2044465660","https://openalex.org/W2046404979","https://openalex.org/W2056513814","https://openalex.org/W2058723831","https://openalex.org/W2070029724","https://openalex.org/W2087475904","https://openalex.org/W2092722122","https://openalex.org/W2096869074","https://openalex.org/W2101308399","https://openalex.org/W2108701757","https://openalex.org/W2117527927","https://openalex.org/W2122507647","https://openalex.org/W2122949508","https://openalex.org/W2127318829","https://openalex.org/W2130349896","https://openalex.org/W2133941557","https://openalex.org/W2139051838","https://openalex.org/W2145102530","https://openalex.org/W2149034805","https://openalex.org/W2151011424","https://openalex.org/W2156005575","https://openalex.org/W2157582048","https://openalex.org/W2158469157","https://openalex.org/W2160208155","https://openalex.org/W2161848987","https://openalex.org/W2163133908","https://openalex.org/W2166250589","https://openalex.org/W2169386254","https://openalex.org/W2170308634","https://openalex.org/W2172009270","https://openalex.org/W2766736793","https://openalex.org/W3121926921","https://openalex.org/W3207342693","https://openalex.org/W4300402905"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W2391251536","https://openalex.org/W2362198218","https://openalex.org/W2019521278","https://openalex.org/W1984922432","https://openalex.org/W2375008505","https://openalex.org/W2086348228","https://openalex.org/W2005234362","https://openalex.org/W2162970382","https://openalex.org/W1997235926"],"abstract_inverted_index":{"The":[0,74],"analysis,":[1],"measurement,":[2],"and":[3,67,98,168],"computation":[4],"of":[5,28,56,61,69,108,164,177],"remote":[6,39,95],"sensing":[7,40,96],"images":[8,90],"often":[9],"require":[10],"an":[11,18,119],"enhanced":[12,75],"supervised":[13,121],"classification":[14,54],"technique":[15,97],"to":[16,51,104,117,126],"develop":[17],"efficient":[19],"spatial":[20],"decision":[21,76,146],"support":[22,77,147],"system.":[23,149],"Rice":[24],"is":[25,48,102,115,124,142,180],"a":[26,34],"crop":[27],"global":[29],"importance,":[30],"which":[31,123],"has":[32,82],"drawn":[33],"great":[35],"interest":[36],"in":[37,79],"using":[38,70],"techniques":[41],"for":[42],"evaluating":[43],"its":[44],"production.":[45],"Ancillary":[46],"information":[47,101,179],"widely":[49],"used":[50,125],"improve":[52],"the":[53,65,86,89,94,99,106,111,128,157,161,165,170],"accuracy":[55,107],"satellite":[57],"images.":[58],"However,":[59],"few":[60],"these":[62],"studies":[63],"questioned":[64],"importance":[66,172],"strategies":[68],"this":[71],"ancillary":[72,100,129,178],"information.":[73,130],"system":[78],"our":[80,145],"study":[81],"two":[83,153],"stages.":[84],"In":[85,110],"first":[87],"stage,":[88,113],"are":[91],"obtained":[92],"from":[93],"employed":[103],"increase":[105],"classification.":[109],"second":[112],"it":[114],"decided":[116],"construct":[118],"efficiently":[120],"classifier,":[122],"evaluate":[127],"Back-propagation":[131],"neural":[132],"network":[133],"(BPN)":[134],"with":[135],"extended":[136],"delta":[137,139],"bar":[138],"(EDBD)":[140],"algorithm":[141,159],"incorporated":[143],"into":[144],"classifier":[148,151],"This":[150],"renders":[152],"crucial":[154],"contributions:":[155],"(1)":[156],"EDBD":[158],"accelerates":[160],"convergence":[162],"speed":[163],"learning":[166],"process":[167],"(2)":[169],"relative":[171],"(RI)":[173],"on":[174],"each":[175],"band":[176],"evaluated":[181],"rationally.":[182]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":8},{"year":2012,"cited_by_count":1}],"updated_date":"2026-08-15T07:11:24.734988","created_date":"2025-10-10T00:00:00"}