{"id":"https://openalex.org/W2050599078","doi":"https://doi.org/10.3390/rs70404318","title":"Automatic Case-Based Reasoning Approach for Landslide Detection: Integration of Object-Oriented Image Analysis and a Genetic Algorithm","display_name":"Automatic Case-Based Reasoning Approach for Landslide Detection: Integration of Object-Oriented Image Analysis and a Genetic Algorithm","publication_year":2015,"publication_date":"2015-04-13","ids":{"openalex":"https://openalex.org/W2050599078","doi":"https://doi.org/10.3390/rs70404318","mag":"2050599078"},"language":"en","primary_location":{"id":"doi:10.3390/rs70404318","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs70404318","pdf_url":"https://www.mdpi.com/2072-4292/7/4/4318/pdf?version=1429516491","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2072-4292/7/4/4318/pdf?version=1429516491","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5103127563","display_name":"Jie Dou","orcid":"https://orcid.org/0000-0001-5930-199X"},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Jie Dou","raw_affiliation_strings":["Department of Natural Environmental Studies, The University of Tokyo, Kashiwa 277-8568, Japan"],"affiliations":[{"raw_affiliation_string":"Department of Natural Environmental Studies, The University of Tokyo, Kashiwa 277-8568, Japan","institution_ids":["https://openalex.org/I74801974"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112570891","display_name":"Kuan-Tsung Chang","orcid":null},"institutions":[{"id":"https://openalex.org/I143003336","display_name":"Minghsin University of Science and Technology","ror":"https://ror.org/054etzm63","country_code":"TW","type":"education","lineage":["https://openalex.org/I143003336"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Kuan-Tsung Chang","raw_affiliation_strings":["Department of Civil Engineering and Environmental Informatics, Minghsin University of Science and Technology, Hsin-Chu 304, Taiwan"],"affiliations":[{"raw_affiliation_string":"Department of Civil Engineering and Environmental Informatics, Minghsin University of Science and Technology, Hsin-Chu 304, Taiwan","institution_ids":["https://openalex.org/I143003336"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014023304","display_name":"Shuisen Chen","orcid":"https://orcid.org/0000-0002-1204-9624"},"institutions":[{"id":"https://openalex.org/I4210147158","display_name":"Guangzhou Institute of Geography","ror":"https://ror.org/03tbxt129","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210147158"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuisen Chen","raw_affiliation_strings":["Guangdong Open Laboratory of Geospatial Information Technology and Application, Guangzhou Institute of Geography, Guangzhou 510070, China"],"affiliations":[{"raw_affiliation_string":"Guangdong Open Laboratory of Geospatial Information Technology and Application, Guangzhou Institute of Geography, Guangzhou 510070, China","institution_ids":["https://openalex.org/I4210147158"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110677826","display_name":"Ali P. Yunus","orcid":null},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Ali Yunus","raw_affiliation_strings":["Department of Natural Environmental Studies, The University of Tokyo, Kashiwa 277-8568, Japan"],"affiliations":[{"raw_affiliation_string":"Department of Natural Environmental Studies, The University of Tokyo, Kashiwa 277-8568, Japan","institution_ids":["https://openalex.org/I74801974"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024599722","display_name":"Jin-King Liu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jin-King Liu","raw_affiliation_strings":["LiDAR Technology Co., Zhubei, Hsin-Chu 302, Taiwan"],"affiliations":[{"raw_affiliation_string":"LiDAR Technology Co., Zhubei, Hsin-Chu 302, Taiwan","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052383427","display_name":"Huan Xia","orcid":"https://orcid.org/0000-0003-0309-3129"},"institutions":[{"id":"https://openalex.org/I170172562","display_name":"Guizhou University of Finance and Economics","ror":"https://ror.org/02sw6yz40","country_code":"CN","type":"education","lineage":["https://openalex.org/I170172562"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huan Xia","raw_affiliation_strings":["Guizhou University of Finance and Economics, Huaxi District, Guiyang 550025, China"],"affiliations":[{"raw_affiliation_string":"Guizhou University of Finance and Economics, Huaxi District, Guiyang 550025, China","institution_ids":["https://openalex.org/I170172562"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5045437724","display_name":"Zhongfan Zhu","orcid":"https://orcid.org/0000-0003-0579-608X"},"institutions":[{"id":"https://openalex.org/I25254941","display_name":"Beijing Normal University","ror":"https://ror.org/022k4wk35","country_code":"CN","type":"education","lineage":["https://openalex.org/I25254941"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhongfan Zhu","raw_affiliation_strings":["College of Water Sciences, Beijing Normal University, Xinjiekouwai Street 19, Beijing 100875, China"],"affiliations":[{"raw_affiliation_string":"College of Water Sciences, Beijing Normal University, Xinjiekouwai Street 19, Beijing 100875, China","institution_ids":["https://openalex.org/I25254941"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5103127563","https://openalex.org/A5112570891"],"corresponding_institution_ids":["https://openalex.org/I143003336","https://openalex.org/I74801974"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":55.261,"has_fulltext":false,"cited_by_count":154,"citation_normalized_percentile":{"value":0.99829903,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":"7","issue":"4","first_page":"4318","last_page":"4342"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10535","display_name":"Landslides and related hazards","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/2308","display_name":"Management, Monitoring, Policy and Law"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10535","display_name":"Landslides and related hazards","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/2308","display_name":"Management, Monitoring, Policy and Law"},"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/T10930","display_name":"Flood Risk Assessment and Management","score":0.9979000091552734,"subfield":{"id":"https://openalex.org/subfields/2306","display_name":"Global and Planetary Change"},"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/T12293","display_name":"Dam Engineering and Safety","score":0.982699990272522,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/landslide","display_name":"Landslide","score":0.7721394300460815},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7031148672103882},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5203030705451965},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5160583853721619},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4826434254646301},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.4463844299316406},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.43921220302581787},{"id":"https://openalex.org/keywords/case-based-reasoning","display_name":"Case-based reasoning","score":0.4311712980270386},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4296717047691345},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.38831627368927},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.2198314070701599},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.17014294862747192},{"id":"https://openalex.org/keywords/geomorphology","display_name":"Geomorphology","score":0.08111637830734253}],"concepts":[{"id":"https://openalex.org/C186295008","wikidata":"https://www.wikidata.org/wiki/Q167903","display_name":"Landslide","level":2,"score":0.7721394300460815},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7031148672103882},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5203030705451965},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5160583853721619},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4826434254646301},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4463844299316406},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.43921220302581787},{"id":"https://openalex.org/C20162079","wikidata":"https://www.wikidata.org/wiki/Q1151406","display_name":"Case-based reasoning","level":2,"score":0.4311712980270386},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4296717047691345},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.38831627368927},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2198314070701599},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.17014294862747192},{"id":"https://openalex.org/C114793014","wikidata":"https://www.wikidata.org/wiki/Q52109","display_name":"Geomorphology","level":1,"score":0.08111637830734253}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/rs70404318","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs70404318","pdf_url":"https://www.mdpi.com/2072-4292/7/4/4318/pdf?version=1429516491","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:c31757b54e06426c84af3c5db6de6d89","is_oa":true,"landing_page_url":"https://doaj.org/article/c31757b54e06426c84af3c5db6de6d89","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing, Vol 7, Iss 4, Pp 4318-4342 (2015)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2072-4292/7/4/4318/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/rs70404318","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing; Volume 7; Issue 4; Pages: 4318-4342","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/rs70404318","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs70404318","pdf_url":"https://www.mdpi.com/2072-4292/7/4/4318/pdf?version=1429516491","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.8399999737739563,"id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2050599078.pdf","grobid_xml":"https://content.openalex.org/works/W2050599078.grobid-xml"},"referenced_works_count":46,"referenced_works":["https://openalex.org/W183366287","https://openalex.org/W1555930968","https://openalex.org/W1577409497","https://openalex.org/W1639032689","https://openalex.org/W1964262728","https://openalex.org/W1969477520","https://openalex.org/W1990335476","https://openalex.org/W1990748933","https://openalex.org/W2001831758","https://openalex.org/W2011109473","https://openalex.org/W2011221485","https://openalex.org/W2012089683","https://openalex.org/W2013205089","https://openalex.org/W2013377700","https://openalex.org/W2026535637","https://openalex.org/W2046752082","https://openalex.org/W2058082754","https://openalex.org/W2059428666","https://openalex.org/W2061240006","https://openalex.org/W2068998173","https://openalex.org/W2069591067","https://openalex.org/W2070395120","https://openalex.org/W2071054608","https://openalex.org/W2074833300","https://openalex.org/W2087559371","https://openalex.org/W2091842975","https://openalex.org/W2097134140","https://openalex.org/W2099491710","https://openalex.org/W2104896032","https://openalex.org/W2113972550","https://openalex.org/W2115367758","https://openalex.org/W2119879130","https://openalex.org/W2124797185","https://openalex.org/W2126385963","https://openalex.org/W2129846909","https://openalex.org/W2138973222","https://openalex.org/W2139479705","https://openalex.org/W2142347478","https://openalex.org/W2154351534","https://openalex.org/W2158698691","https://openalex.org/W2162380055","https://openalex.org/W2259874335","https://openalex.org/W2579321819","https://openalex.org/W4403696328","https://openalex.org/W6633352089","https://openalex.org/W6692017028"],"related_works":["https://openalex.org/W2389676928","https://openalex.org/W3169474304","https://openalex.org/W2369104181","https://openalex.org/W3201652628","https://openalex.org/W4212972401","https://openalex.org/W2389287188","https://openalex.org/W3081499580","https://openalex.org/W2615020820","https://openalex.org/W3106883776","https://openalex.org/W2950100253"],"abstract_inverted_index":{"This":[0],"paper":[1],"proposes":[2],"an":[3,11],"automatic":[4],"method":[5,95],"for":[6,96,135],"detecting":[7,46,97],"landslides":[8],"by":[9,181],"using":[10,128],"integrated":[12,130],"approach":[13,50,141],"comprising":[14],"object-oriented":[15],"image":[16,36],"analysis":[17],"(OOIA),":[18],"a":[19,24,54],"genetic":[20],"algorithm":[21],"(GA),":[22],"and":[23,38,44],"case-based":[25],"reasoning":[26],"(CBR)":[27],"technique.":[28],"It":[29],"consists":[30],"of":[31,67,74,110,118,157,164,175,178],"three":[32],"main":[33],"phases:":[34],"(1)":[35],"processing":[37],"multi-image":[39],"segmentation;":[40],"(2)":[41],"feature":[42],"optimization;":[43],"(3)":[45],"landslides.":[47,98],"The":[48,65,77,99,124,155],"proposed":[49,83,120],"was":[51,105],"employed":[52],"in":[53,62,143],"fast-growing":[55],"urban":[56],"region,":[57],"the":[58,72,82,91,111,115,119,129,151,176],"Pearl":[59],"River":[60],"Delta":[61],"South":[63],"China.":[64],"results":[66,79,156],"detection":[68,122],"were":[69],"validated":[70],"with":[71],"help":[73],"field":[75],"surveys.":[76],"experimental":[78],"indicated":[80],"that":[81,109],"OOIA-GA-CBR":[84],"(0.87)":[85],"demonstrates":[86],"higher":[87,107],"classification":[88],"performance":[89],"than":[90,108],"stand-alone":[92],"OOIA":[93],"(0.75)":[94],"area":[100],"under":[101],"curve":[102],"(AUC)":[103],"value":[104],"also":[106],"simple":[112],"OOIA,":[113],"indicating":[114],"high":[116],"efficiency":[117],"landslide":[121,166,182],"approach.":[123],"case":[125],"library":[126],"created":[127],"model":[131],"can":[132],"be":[133],"reused":[134],"time-independent":[136],"analysis,":[137],"thus":[138,160],"rendering":[139],"our":[140,173],"superior":[142],"comparison":[144],"to":[145],"other":[146],"traditional":[147],"methods,":[148],"such":[149],"as":[150],"maximum":[152],"likelihood":[153],"classifier.":[154],"this":[158],"study":[159],"facilitate":[161],"fast":[162],"generation":[163],"accurate":[165],"inventory":[167],"maps,":[168],"which":[169],"will":[170],"eventually":[171],"extend":[172],"understanding":[174],"evolution":[177],"landscapes":[179],"shaped":[180],"processes.":[183]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":17},{"year":2023,"cited_by_count":14},{"year":2022,"cited_by_count":15},{"year":2021,"cited_by_count":12},{"year":2020,"cited_by_count":24},{"year":2019,"cited_by_count":25},{"year":2018,"cited_by_count":12},{"year":2017,"cited_by_count":15},{"year":2016,"cited_by_count":11},{"year":2015,"cited_by_count":4}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}