{"id":"https://openalex.org/W2305745203","doi":"https://doi.org/10.3390/rs8040271","title":"Identification of Village Building via Google Earth Images and Supervised Machine Learning Methods","display_name":"Identification of Village Building via Google Earth Images and Supervised Machine Learning Methods","publication_year":2016,"publication_date":"2016-03-25","ids":{"openalex":"https://openalex.org/W2305745203","doi":"https://doi.org/10.3390/rs8040271","mag":"2305745203"},"language":"en","primary_location":{"id":"doi:10.3390/rs8040271","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs8040271","pdf_url":null,"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://doi.org/10.3390/rs8040271","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101828695","display_name":"Zhiling Guo","orcid":"https://orcid.org/0000-0002-2532-6117"},"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":"Zhiling Guo","raw_affiliation_strings":["Center for Spatial Information Science, University of Tokyo, Kashiwa 277-8568, Japan"],"affiliations":[{"raw_affiliation_string":"Center for Spatial Information Science, University of Tokyo, Kashiwa 277-8568, Japan","institution_ids":["https://openalex.org/I74801974"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050975050","display_name":"Xiaowei Shao","orcid":"https://orcid.org/0000-0002-2603-057X"},"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":"Xiaowei Shao","raw_affiliation_strings":["Earth Observation Data Integration and Fusion Research Initiative, University of Tokyo, Tokyo 153-8505, Japan"],"affiliations":[{"raw_affiliation_string":"Earth Observation Data Integration and Fusion Research Initiative, University of Tokyo, Tokyo 153-8505, Japan","institution_ids":["https://openalex.org/I74801974"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100540845","display_name":"Yongwei Xu","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":"Yongwei Xu","raw_affiliation_strings":["Center for Spatial Information Science, University of Tokyo, Kashiwa 277-8568, Japan"],"affiliations":[{"raw_affiliation_string":"Center for Spatial Information Science, University of Tokyo, Kashiwa 277-8568, Japan","institution_ids":["https://openalex.org/I74801974"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009668374","display_name":"Hiroyuki Miyazaki","orcid":"https://orcid.org/0000-0001-7262-4566"},"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":"Hiroyuki Miyazaki","raw_affiliation_strings":["Earth Observation Data Integration and Fusion Research Initiative, University of Tokyo, Tokyo 153-8505, Japan"],"affiliations":[{"raw_affiliation_string":"Earth Observation Data Integration and Fusion Research Initiative, University of Tokyo, Tokyo 153-8505, Japan","institution_ids":["https://openalex.org/I74801974"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062347082","display_name":"Wataru Ohira","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":"Wataru Ohira","raw_affiliation_strings":["Center for Spatial Information Science, University of Tokyo, Kashiwa 277-8568, Japan"],"affiliations":[{"raw_affiliation_string":"Center for Spatial Information Science, University of Tokyo, Kashiwa 277-8568, Japan","institution_ids":["https://openalex.org/I74801974"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5105206953","display_name":"Ryosuke Shibasaki","orcid":"https://orcid.org/0000-0001-8760-244X"},"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":"Ryosuke Shibasaki","raw_affiliation_strings":["Center for Spatial Information Science, University of Tokyo, Kashiwa 277-8568, Japan"],"affiliations":[{"raw_affiliation_string":"Center for Spatial Information Science, University of Tokyo, Kashiwa 277-8568, Japan","institution_ids":["https://openalex.org/I74801974"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5050975050"],"corresponding_institution_ids":["https://openalex.org/I74801974"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":8.8756,"has_fulltext":false,"cited_by_count":72,"citation_normalized_percentile":{"value":0.97936401,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"8","issue":"4","first_page":"271","last_page":"271"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9977999925613403,"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":0.9977999925613403,"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/T13890","display_name":"Remote Sensing and Land Use","score":0.9940999746322632,"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/T13282","display_name":"Automated Road and Building Extraction","score":0.9937000274658203,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean 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/computer-science","display_name":"Computer science","score":0.7882559299468994},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7550250291824341},{"id":"https://openalex.org/keywords/adaboost","display_name":"AdaBoost","score":0.7291429042816162},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5987235307693481},{"id":"https://openalex.org/keywords/rgb-color-model","display_name":"RGB color model","score":0.5797849893569946},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5600155591964722},{"id":"https://openalex.org/keywords/boosting","display_name":"Boosting (machine learning)","score":0.5303671360015869},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4552844762802124},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.4425988495349884},{"id":"https://openalex.org/keywords/supervised-learning","display_name":"Supervised learning","score":0.41368094086647034},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3320537805557251},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.297882080078125},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.2970404028892517}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7882559299468994},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7550250291824341},{"id":"https://openalex.org/C141404830","wikidata":"https://www.wikidata.org/wiki/Q2823869","display_name":"AdaBoost","level":3,"score":0.7291429042816162},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5987235307693481},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.5797849893569946},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5600155591964722},{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.5303671360015869},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4552844762802124},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.4425988495349884},{"id":"https://openalex.org/C136389625","wikidata":"https://www.wikidata.org/wiki/Q334384","display_name":"Supervised learning","level":3,"score":0.41368094086647034},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3320537805557251},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.297882080078125},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.2970404028892517},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/rs8040271","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs8040271","pdf_url":null,"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:1f25955da579439fb5e1082187f6f36c","is_oa":true,"landing_page_url":"https://doaj.org/article/1f25955da579439fb5e1082187f6f36c","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 8, Iss 4, p 271 (2016)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2072-4292/8/4/271/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/rs8040271","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 8; Issue 4; Pages: 271","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/rs8040271","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs8040271","pdf_url":null,"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","id":"https://metadata.un.org/sdg/11","score":0.8100000023841858}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":49,"referenced_works":["https://openalex.org/W576104647","https://openalex.org/W1555328055","https://openalex.org/W1569021610","https://openalex.org/W1578368825","https://openalex.org/W1643207656","https://openalex.org/W1950365613","https://openalex.org/W1964262728","https://openalex.org/W1972489704","https://openalex.org/W1977345771","https://openalex.org/W1983122779","https://openalex.org/W1984593755","https://openalex.org/W1988790447","https://openalex.org/W1993560214","https://openalex.org/W1998351672","https://openalex.org/W2012908927","https://openalex.org/W2016584912","https://openalex.org/W2027668293","https://openalex.org/W2029332336","https://openalex.org/W2050599078","https://openalex.org/W2051165725","https://openalex.org/W2053723633","https://openalex.org/W2080671440","https://openalex.org/W2082081125","https://openalex.org/W2087475273","https://openalex.org/W2090303121","https://openalex.org/W2098676252","https://openalex.org/W2101051003","https://openalex.org/W2109303076","https://openalex.org/W2111975408","https://openalex.org/W2116456623","https://openalex.org/W2117892041","https://openalex.org/W2118389488","https://openalex.org/W2140214824","https://openalex.org/W2141065292","https://openalex.org/W2142487694","https://openalex.org/W2146750654","https://openalex.org/W2153804780","https://openalex.org/W2162480849","https://openalex.org/W2162933551","https://openalex.org/W2164598857","https://openalex.org/W2166702119","https://openalex.org/W2187281534","https://openalex.org/W2312997001","https://openalex.org/W2491899631","https://openalex.org/W2962820688","https://openalex.org/W4254467998","https://openalex.org/W4298237232","https://openalex.org/W6649740184","https://openalex.org/W6682780409"],"related_works":["https://openalex.org/W2327035729","https://openalex.org/W2348748958","https://openalex.org/W3039673966","https://openalex.org/W1538046993","https://openalex.org/W2884325279","https://openalex.org/W1570592793","https://openalex.org/W1525436954","https://openalex.org/W2385662756","https://openalex.org/W2585372724","https://openalex.org/W2241444561"],"abstract_inverted_index":{"In":[0],"this":[1],"study,":[2],"a":[3,105,112],"method":[4,162,172],"based":[5,125],"on":[6,69,126],"supervised":[7,76],"machine":[8,48,77],"learning":[9,49,78],"is":[10,173],"proposed":[11,160],"to":[12,29,35,51],"identify":[13],"village":[14,40,92],"buildings":[15,93,142],"from":[16,141,148],"open":[17],"high-resolution":[18],"remote":[19],"sensing":[20],"images.":[21],"We":[22],"select":[23],"Google":[24],"Earth":[25],"(GE)":[26],"RGB":[27,101],"images":[28],"perform":[30,134],"the":[31,44,60,70,100,118,135,149,170],"classification":[32,54],"in":[33,55,111,117,155],"order":[34],"examine":[36],"its":[37],"suitability":[38],"for":[39,80],"mapping,":[41],"and":[42,85,97,104,130,143,169],"investigate":[43],"feasibility":[45],"of":[46,62,72,75,108,167,180],"using":[47],"methods":[50,79],"provide":[52],"automatic":[53],"such":[56],"fields.":[57],"By":[58],"analyzing":[59],"characteristics":[61],"GE":[63],"images,":[64],"we":[65],"design":[66],"different":[67],"features":[68,103,110],"basis":[71],"two":[73],"kinds":[74],"classification:":[81],"adaptive":[82],"boosting":[83],"(AdaBoost)":[84],"convolutional":[86],"neural":[87],"networks":[88,124],"(CNN).":[89],"To":[90],"recognize":[91],"via":[94],"their":[95,144],"color":[96,102],"texture":[98],"information,":[99],"large":[106],"number":[107],"Haar-like":[109],"local":[113],"window":[114],"are":[115],"utilized":[116],"AdaBoost":[119,161],"method;":[120],"with":[121,176],"multilayer":[122],"trained":[123],"gradient":[127],"descent":[128],"algorithms":[129],"back":[131],"propagation,":[132],"CNN":[133,171],"identification":[136],"by":[137],"mining":[138],"deeper":[139],"information":[140],"neighborhood.":[145],"Experimental":[146],"results":[147],"testing":[150],"area":[151],"at":[152],"Savannakhet":[153],"province":[154],"Laos":[156],"show":[157],"that":[158],"our":[159],"achieves":[163],"an":[164,177],"overall":[165,178],"accuracy":[166,179],"96.22%":[168],"also":[174],"competitive":[175],"96.30%.":[181]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":9},{"year":2022,"cited_by_count":9},{"year":2021,"cited_by_count":9},{"year":2020,"cited_by_count":11},{"year":2019,"cited_by_count":11},{"year":2018,"cited_by_count":10},{"year":2017,"cited_by_count":4},{"year":2016,"cited_by_count":2}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}
