{"id":"https://openalex.org/W2742878349","doi":"https://doi.org/10.1109/lgrs.2017.2728698","title":"Land Cover Classification via Multitemporal Spatial Data by Deep Recurrent Neural Networks","display_name":"Land Cover Classification via Multitemporal Spatial Data by Deep Recurrent Neural Networks","publication_year":2017,"publication_date":"2017-08-09","ids":{"openalex":"https://openalex.org/W2742878349","doi":"https://doi.org/10.1109/lgrs.2017.2728698","mag":"2742878349"},"language":"en","primary_location":{"id":"doi:10.1109/lgrs.2017.2728698","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2017.2728698","pdf_url":null,"source":{"id":"https://openalex.org/S126920919","display_name":"IEEE Geoscience and Remote Sensing Letters","issn_l":"1545-598X","issn":["1545-598X","1558-0571"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Geoscience and Remote Sensing Letters","raw_type":"journal-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1704.04055","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5018231294","display_name":"Dino Ienco","orcid":"https://orcid.org/0000-0002-8736-3132"},"institutions":[{"id":"https://openalex.org/I19894307","display_name":"Universit\u00e9 de Montpellier","ror":"https://ror.org/051escj72","country_code":"FR","type":"education","lineage":["https://openalex.org/I19894307"]},{"id":"https://openalex.org/I4210101743","display_name":"Laboratoire d'Informatique, de Robotique et de Micro\u00e9lectronique de Montpellier","ror":"https://ror.org/013yean28","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I1326498283","https://openalex.org/I151295451","https://openalex.org/I19894307","https://openalex.org/I4210101743","https://openalex.org/I4210159245","https://openalex.org/I4405261681"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"Dino Ienco","raw_affiliation_strings":["Laboratoire d\u2019Informatique, de Robotique et de Micro\u00e9lectronique de Montpellier Laboratory, Montpellier, France","UMR-TETIS Laboratory, IRSTEA, Montpellier, France","University of Montpellier, Montpellier, France"],"affiliations":[{"raw_affiliation_string":"Laboratoire d\u2019Informatique, de Robotique et de Micro\u00e9lectronique de Montpellier Laboratory, Montpellier, France","institution_ids":["https://openalex.org/I4210101743"]},{"raw_affiliation_string":"UMR-TETIS Laboratory, IRSTEA, Montpellier, France","institution_ids":[]},{"raw_affiliation_string":"University of Montpellier, Montpellier, France","institution_ids":["https://openalex.org/I19894307"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068424399","display_name":"Raffaele Gaetano","orcid":"https://orcid.org/0000-0002-9470-4791"},"institutions":[{"id":"https://openalex.org/I131077856","display_name":"Centre de Coop\u00e9ration Internationale en Recherche Agronomique pour le D\u00e9veloppement","ror":"https://ror.org/05kpkpg04","country_code":"FR","type":"facility","lineage":["https://openalex.org/I131077856"]},{"id":"https://openalex.org/I4387153996","display_name":"Territoires, Environnement, T\u00e9l\u00e9d\u00e9tection et Information Spatiale","ror":"https://ror.org/0458hw939","country_code":null,"type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I131077856","https://openalex.org/I22248866","https://openalex.org/I277688954","https://openalex.org/I4210088668","https://openalex.org/I4387153996"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Raffaele Gaetano","raw_affiliation_strings":["UMR-TETIS Laboratory, CIRAD, Montpellier, France"],"affiliations":[{"raw_affiliation_string":"UMR-TETIS Laboratory, CIRAD, Montpellier, France","institution_ids":["https://openalex.org/I131077856","https://openalex.org/I4387153996"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064516308","display_name":"C. Dupaquier","orcid":null},"institutions":[{"id":"https://openalex.org/I19894307","display_name":"Universit\u00e9 de Montpellier","ror":"https://ror.org/051escj72","country_code":"FR","type":"education","lineage":["https://openalex.org/I19894307"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Claire Dupaquier","raw_affiliation_strings":["UMR-TETIS Laboratory, IRSTEA, Montpellier, France","University of Montpellier, Montpellier, France"],"affiliations":[{"raw_affiliation_string":"UMR-TETIS Laboratory, IRSTEA, Montpellier, France","institution_ids":[]},{"raw_affiliation_string":"University of Montpellier, Montpellier, France","institution_ids":["https://openalex.org/I19894307"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5062455751","display_name":"Pierre Maurel","orcid":"https://orcid.org/0000-0001-5988-5446"},"institutions":[{"id":"https://openalex.org/I19894307","display_name":"Universit\u00e9 de Montpellier","ror":"https://ror.org/051escj72","country_code":"FR","type":"education","lineage":["https://openalex.org/I19894307"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Pierre Maurel","raw_affiliation_strings":["UMR-TETIS Laboratory, IRSTEA, Montpellier, France","University of Montpellier, Montpellier, France"],"affiliations":[{"raw_affiliation_string":"UMR-TETIS Laboratory, IRSTEA, Montpellier, France","institution_ids":[]},{"raw_affiliation_string":"University of Montpellier, Montpellier, France","institution_ids":["https://openalex.org/I19894307"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5018231294"],"corresponding_institution_ids":["https://openalex.org/I19894307","https://openalex.org/I4210101743"],"apc_list":null,"apc_paid":null,"fwci":21.8405,"has_fulltext":false,"cited_by_count":277,"citation_normalized_percentile":{"value":0.99456223,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"14","issue":"10","first_page":"1685","last_page":"1689"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.996399998664856,"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":0.996399998664856,"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":0.9815999865531921,"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/T13890","display_name":"Remote Sensing and Land Use","score":0.9785000085830688,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/land-cover","display_name":"Land cover","score":0.6561235189437866},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5640867352485657},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.46724629402160645},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.448306679725647},{"id":"https://openalex.org/keywords/cover","display_name":"Cover (algebra)","score":0.4288973808288574},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4211256206035614},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3421539068222046},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.3315085172653198},{"id":"https://openalex.org/keywords/land-use","display_name":"Land use","score":0.30316925048828125}],"concepts":[{"id":"https://openalex.org/C2780648208","wikidata":"https://www.wikidata.org/wiki/Q3001793","display_name":"Land cover","level":3,"score":0.6561235189437866},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5640867352485657},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.46724629402160645},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.448306679725647},{"id":"https://openalex.org/C2780428219","wikidata":"https://www.wikidata.org/wiki/Q16952335","display_name":"Cover (algebra)","level":2,"score":0.4288973808288574},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4211256206035614},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3421539068222046},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.3315085172653198},{"id":"https://openalex.org/C4792198","wikidata":"https://www.wikidata.org/wiki/Q1165944","display_name":"Land use","level":2,"score":0.30316925048828125},{"id":"https://openalex.org/C147176958","wikidata":"https://www.wikidata.org/wiki/Q77590","display_name":"Civil engineering","level":1,"score":0.0},{"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/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/lgrs.2017.2728698","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2017.2728698","pdf_url":null,"source":{"id":"https://openalex.org/S126920919","display_name":"IEEE Geoscience and Remote Sensing Letters","issn_l":"1545-598X","issn":["1545-598X","1558-0571"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Geoscience and Remote Sensing Letters","raw_type":"journal-article"},{"id":"pmh:oai:arXiv.org:1704.04055","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1704.04055","pdf_url":"https://arxiv.org/pdf/1704.04055","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"pmh:oai:HAL:hal-01931486v1","is_oa":true,"landing_page_url":"https://hal.science/hal-01931486","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Geoscience and Remote Sensing Letters, 2017, 14 (10), pp.1685-1689. &#x27E8;10.1109/LGRS.2017.2728698&#x27E9;","raw_type":"Journal articles"},{"id":"pmh:oai:agritrop.cirad.fr:592814","is_oa":false,"landing_page_url":"http://agritrop.cirad.fr/592814/","pdf_url":null,"source":{"id":"https://openalex.org/S4306402311","display_name":"Agritrop (Cirad)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I131077856","host_organization_name":"Centre de Coop\u00e9ration Internationale en Recherche Agronomique pour le D\u00e9veloppement","host_organization_lineage":["https://openalex.org/I131077856"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Geoscience and Remote Sensing Letters","raw_type":"info:eu-repo/semantics/publishedVersion"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1704.04055","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1704.04055","pdf_url":"https://arxiv.org/pdf/1704.04055","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/15","display_name":"Life in Land","score":0.5099999904632568}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W1689711448","https://openalex.org/W1924923137","https://openalex.org/W1974289021","https://openalex.org/W2062487775","https://openalex.org/W2101234009","https://openalex.org/W2116261113","https://openalex.org/W2139186179","https://openalex.org/W2143612262","https://openalex.org/W2153635508","https://openalex.org/W2163922914","https://openalex.org/W2249612659","https://openalex.org/W2410883106","https://openalex.org/W2412588858","https://openalex.org/W2423557781","https://openalex.org/W2431738724","https://openalex.org/W2471849660","https://openalex.org/W2549835527","https://openalex.org/W2949674892","https://openalex.org/W2963636093","https://openalex.org/W2981849677","https://openalex.org/W3120421331","https://openalex.org/W6637409405","https://openalex.org/W6675354045","https://openalex.org/W6691351710","https://openalex.org/W6729258615","https://openalex.org/W6769377118"],"related_works":["https://openalex.org/W1537861260","https://openalex.org/W3133615129","https://openalex.org/W2087854757","https://openalex.org/W2188959887","https://openalex.org/W2373152553","https://openalex.org/W3192667092","https://openalex.org/W4389201442","https://openalex.org/W2386169820","https://openalex.org/W604251607","https://openalex.org/W3170595163"],"abstract_inverted_index":{"Nowadays,":[0],"modern":[1],"earth":[2],"observation":[3],"programs":[4],"produce":[5],"huge":[6],"volumes":[7],"of":[8,30,94,118,157,179],"satellite":[9,119],"images":[10],"time":[11,85,116],"series":[12,117],"that":[13,140,167],"can":[14,175],"be":[15],"useful":[16],"to":[17,24,48,80,104],"monitor":[18],"geographical":[19],"areas":[20],"through":[21],"time.":[22],"How":[23],"efficiently":[25],"analyze":[26],"such":[27],"a":[28,115],"kind":[29],"information":[31],"is":[32],"still":[33],"an":[34],"open":[35],"question":[36],"in":[37,96,154],"the":[38,92,98,146,155,168,177],"remote":[39,51,83],"sensing":[40,52,84],"field.":[41],"Recently,":[42],"deep":[43,72],"learning":[44,73],"methods":[45],"proved":[46],"suitable":[47],"deal":[49,81],"with":[50,82,145],"data":[53,112,128],"mainly":[54],"for":[55],"scene":[56],"classification(i.e.,":[57],"convolutional":[58],"neural":[59,77],"networks":[60,78],"on":[61,125],"single":[62],"images)":[63],"while":[64],"only":[65],"very":[66],"few":[67],"studies":[68],"exist":[69],"involving":[70],"temporal":[71],"approaches":[74,153],"[i.e.,":[75],"recurrent":[76],"(RNNs)]":[79],"series.":[86],"In":[87],"this":[88],"letter,":[89],"we":[90],"evaluate":[91],"ability":[93],"RNNs,":[95],"particular,":[97],"long":[99],"short-term":[100],"memory":[101],"(LSTM)":[102],"model,":[103],"perform":[105],"land":[106],"cover":[107],"classification":[108],"considering":[109,130],"multitemporal":[110],"spatial":[111],"derived":[113],"from":[114],"images.":[120],"We":[121,164],"carried":[122],"out":[123],"experiments":[124],"two":[126],"different":[127],"sets":[129],"both":[131],"pixel-based":[132],"and":[133,149],"object-based":[134],"classifications.":[135],"The":[136],"obtained":[137],"results":[138],"show":[139,166],"RNNs":[141],"are":[142],"competitive":[143],"compared":[144],"state-of-the-art":[147],"classifiers,":[148],"may":[150],"outperform":[151],"classical":[152],"presence":[156],"low":[158],"represented":[159],"and/or":[160],"highly":[161],"mixed":[162],"classes.":[163],"also":[165],"alternative":[169],"feature":[170],"representation":[171],"generated":[172],"by":[173],"LSTM":[174],"improve":[176],"performances":[178],"standard":[180],"classifiers.":[181]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":24},{"year":2024,"cited_by_count":32},{"year":2023,"cited_by_count":31},{"year":2022,"cited_by_count":46},{"year":2021,"cited_by_count":47},{"year":2020,"cited_by_count":44},{"year":2019,"cited_by_count":36},{"year":2018,"cited_by_count":12}],"updated_date":"2026-04-03T22:45:19.894376","created_date":"2017-08-17T00:00:00"}
