{"id":"https://openalex.org/W2773496001","doi":"https://doi.org/10.1109/igarss.2017.8127172","title":"Multimodal, multitemporal, and multisource global data fusion for local climate zones classification based on ensemble learning","display_name":"Multimodal, multitemporal, and multisource global data fusion for local climate zones classification based on ensemble learning","publication_year":2017,"publication_date":"2017-07-01","ids":{"openalex":"https://openalex.org/W2773496001","doi":"https://doi.org/10.1109/igarss.2017.8127172","mag":"2773496001"},"language":"en","primary_location":{"id":"doi:10.1109/igarss.2017.8127172","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2017.8127172","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)","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/A5034435383","display_name":"Naoto Yokoya","orcid":"https://orcid.org/0000-0002-7321-4590"},"institutions":[{"id":"https://openalex.org/I2898391981","display_name":"Deutsches Zentrum f\u00fcr Luft- und Raumfahrt e. V. (DLR)","ror":"https://ror.org/04bwf3e34","country_code":"DE","type":"facility","lineage":["https://openalex.org/I1305996414","https://openalex.org/I2898391981"]},{"id":"https://openalex.org/I62916508","display_name":"Technical University of Munich","ror":"https://ror.org/02kkvpp62","country_code":"DE","type":"education","lineage":["https://openalex.org/I62916508"]},{"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":["DE","JP"],"is_corresponding":true,"raw_author_name":"Naoto Yokoya","raw_affiliation_strings":["Department of Advanced Interdisciplinary Studies, University of Tokyo, Japan","Remote Sensing Technology Institute (IMF), German Aerospace Center (DLR), Germany","Signal Processing in Earth Observation (SiPEO), Technische Universit\u00e4t M\u00fcnchen (TUM), Germany"],"affiliations":[{"raw_affiliation_string":"Department of Advanced Interdisciplinary Studies, University of Tokyo, Japan","institution_ids":["https://openalex.org/I74801974"]},{"raw_affiliation_string":"Remote Sensing Technology Institute (IMF), German Aerospace Center (DLR), Germany","institution_ids":["https://openalex.org/I2898391981"]},{"raw_affiliation_string":"Signal Processing in Earth Observation (SiPEO), Technische Universit\u00e4t M\u00fcnchen (TUM), Germany","institution_ids":["https://openalex.org/I62916508"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074919292","display_name":"Pedram Ghamisi","orcid":"https://orcid.org/0000-0003-1203-741X"},"institutions":[{"id":"https://openalex.org/I2898391981","display_name":"Deutsches Zentrum f\u00fcr Luft- und Raumfahrt e. V. (DLR)","ror":"https://ror.org/04bwf3e34","country_code":"DE","type":"facility","lineage":["https://openalex.org/I1305996414","https://openalex.org/I2898391981"]},{"id":"https://openalex.org/I62916508","display_name":"Technical University of Munich","ror":"https://ror.org/02kkvpp62","country_code":"DE","type":"education","lineage":["https://openalex.org/I62916508"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Pedram Ghamisi","raw_affiliation_strings":["Remote Sensing Technology Institute (IMF), German Aerospace Center (DLR), Germany","Signal Processing in Earth Observation (SiPEO), Technische Universit\u00e4t M\u00fcnchen (TUM), Germany"],"affiliations":[{"raw_affiliation_string":"Remote Sensing Technology Institute (IMF), German Aerospace Center (DLR), Germany","institution_ids":["https://openalex.org/I2898391981"]},{"raw_affiliation_string":"Signal Processing in Earth Observation (SiPEO), Technische Universit\u00e4t M\u00fcnchen (TUM), Germany","institution_ids":["https://openalex.org/I62916508"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5000395252","display_name":"Junshi Xia","orcid":"https://orcid.org/0000-0002-5586-6536"},"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":"Junshi Xia","raw_affiliation_strings":["Department of Advanced Interdisciplinary Studies, University of Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"Department of Advanced Interdisciplinary Studies, University of Tokyo, Japan","institution_ids":["https://openalex.org/I74801974"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5034435383"],"corresponding_institution_ids":["https://openalex.org/I2898391981","https://openalex.org/I62916508","https://openalex.org/I74801974"],"apc_list":null,"apc_paid":null,"fwci":3.5499,"has_fulltext":false,"cited_by_count":33,"citation_normalized_percentile":{"value":0.93815886,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1197","last_page":"1200"},"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/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":0.9980000257492065,"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":0.9972000122070312,"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/T10766","display_name":"Urban Heat Island Mitigation","score":0.9941999912261963,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"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/cohens-kappa","display_name":"Cohen's kappa","score":0.6901434063911438},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5842480063438416},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.525871992111206},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5134307146072388},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.506384015083313},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.49403220415115356},{"id":"https://openalex.org/keywords/weighted-voting","display_name":"Weighted voting","score":0.4773010015487671},{"id":"https://openalex.org/keywords/ensemble-learning","display_name":"Ensemble learning","score":0.4751339256763458},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.4738224744796753},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.4563307464122772},{"id":"https://openalex.org/keywords/majority-rule","display_name":"Majority rule","score":0.4315303862094879},{"id":"https://openalex.org/keywords/voting","display_name":"Voting","score":0.3210863173007965},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.22084125876426697},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.19559809565544128},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.1463746726512909}],"concepts":[{"id":"https://openalex.org/C163864269","wikidata":"https://www.wikidata.org/wiki/Q1107106","display_name":"Cohen's kappa","level":2,"score":0.6901434063911438},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5842480063438416},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.525871992111206},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5134307146072388},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.506384015083313},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.49403220415115356},{"id":"https://openalex.org/C132778050","wikidata":"https://www.wikidata.org/wiki/Q2065430","display_name":"Weighted voting","level":4,"score":0.4773010015487671},{"id":"https://openalex.org/C45942800","wikidata":"https://www.wikidata.org/wiki/Q245652","display_name":"Ensemble learning","level":2,"score":0.4751339256763458},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.4738224744796753},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.4563307464122772},{"id":"https://openalex.org/C153668964","wikidata":"https://www.wikidata.org/wiki/Q27636","display_name":"Majority rule","level":2,"score":0.4315303862094879},{"id":"https://openalex.org/C520049643","wikidata":"https://www.wikidata.org/wiki/Q189760","display_name":"Voting","level":3,"score":0.3210863173007965},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.22084125876426697},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.19559809565544128},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.1463746726512909},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/igarss.2017.8127172","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2017.8127172","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)","raw_type":"proceedings-article"},{"id":"pmh:oai:elib.dlr.de:118214","is_oa":false,"landing_page_url":"https://doi.org/10.1109/IGARSS.2017.8127172>.","pdf_url":null,"source":{"id":"https://openalex.org/S4377196266","display_name":"elib (German Aerospace Center)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I2898391981","host_organization_name":"Deutsches Zentrum f\u00fcr Luft- und Raumfahrt e. V. (DLR)","host_organization_lineage":["https://openalex.org/I2898391981"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":null,"raw_type":"PeerReviewed"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Climate action","score":0.8100000023841858,"id":"https://metadata.un.org/sdg/13"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W1019189097","https://openalex.org/W2030737358","https://openalex.org/W2052326455","https://openalex.org/W2114819256","https://openalex.org/W2150757437","https://openalex.org/W2346557146","https://openalex.org/W2524214095","https://openalex.org/W2911964244","https://openalex.org/W4297664336"],"related_works":["https://openalex.org/W2915435096","https://openalex.org/W4312560343","https://openalex.org/W2096510549","https://openalex.org/W2905430408","https://openalex.org/W1976415306","https://openalex.org/W2997514867","https://openalex.org/W2973321216","https://openalex.org/W4243868241","https://openalex.org/W2121434426","https://openalex.org/W4360861734"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"a":[3,89],"new":[4],"methodology":[5],"for":[6,53],"classification":[7,41,55,59,68],"of":[8,86,92],"local":[9],"climate":[10],"zones":[11],"based":[12],"on":[13,66],"ensemble":[14],"learning":[15],"techniques.":[16],"Landsat-8":[17],"data":[18,23],"and":[19,35,48,88],"open":[20],"street":[21],"map":[22,60],"are":[24,51],"used":[25,52],"to":[26,39],"extract":[27],"spectral-spatial":[28],"features,":[29],"including":[30],"spectral":[31,33],"reflectance,":[32],"indexes,":[34],"morphological":[36],"profiles":[37],"fed":[38],"subsequent":[40],"methods":[42],"as":[43],"inputs.":[44],"Canonical":[45],"correlation":[46],"forests":[47,50],"rotation":[49],"the":[54,72,95],"step.":[56],"The":[57,79],"final":[58],"is":[61],"generated":[62],"by":[63,71],"majority":[64],"voting":[65],"different":[67],"maps":[69],"obtained":[70],"two":[73],"classifiers":[74],"using":[75],"multiple":[76],"training":[77],"subsets.":[78],"proposed":[80],"method":[81],"achieved":[82],"an":[83],"overall":[84],"accuracy":[85],"74.94%":[87],"kappa":[90],"coefficient":[91],"0.71":[93],"in":[94],"2017":[96],"IEEE":[97],"GRSS":[98],"Data":[99],"Fusion":[100],"Contest.":[101]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":9},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":8}],"updated_date":"2026-03-09T07:00:12.390032","created_date":"2025-10-10T00:00:00"}