{"id":"https://openalex.org/W4402265162","doi":"https://doi.org/10.1109/igarss53475.2024.10640796","title":"Multi-Scale Classification of Sentinel-2 Images for Land Cover Mapping Using Two-Branch Convolutional Neural Network","display_name":"Multi-Scale Classification of Sentinel-2 Images for Land Cover Mapping Using Two-Branch Convolutional Neural Network","publication_year":2024,"publication_date":"2024-07-07","ids":{"openalex":"https://openalex.org/W4402265162","doi":"https://doi.org/10.1109/igarss53475.2024.10640796"},"language":"en","primary_location":{"id":"doi:10.1109/igarss53475.2024.10640796","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/igarss53475.2024.10640796","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"},"type":"conference-paper","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/A5091380300","display_name":"Azza Abidi","orcid":"https://orcid.org/0000-0003-0964-8797"},"institutions":[{"id":"https://openalex.org/I83259278","display_name":"Manouba University","ror":"https://ror.org/0503ejf32","country_code":"TN","type":"education","lineage":["https://openalex.org/I83259278"]}],"countries":["TN"],"is_corresponding":false,"raw_author_name":"A. Azza Abidi","raw_affiliation_strings":["National School of Computer Science,Riadi Laboratory,Manouba,Tunisia,2010"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National School of Computer Science,Riadi Laboratory,Manouba,Tunisia,2010","institution_ids":["https://openalex.org/I83259278"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5107014066","display_name":"B. Dino Ienco","orcid":null},"institutions":[{"id":"https://openalex.org/I4210088668","display_name":"Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement","ror":"https://ror.org/003vg9w96","country_code":"FR","type":"government","lineage":["https://openalex.org/I4210088668"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"B. Dino Ienco","raw_affiliation_strings":["INRAE UMR TETIS,Montpellier,France,34000"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"INRAE UMR TETIS,Montpellier,France,34000","institution_ids":["https://openalex.org/I4210088668"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041904594","display_name":"Chedly Abb\u00e8s","orcid":"https://orcid.org/0000-0001-5076-1607"},"institutions":[{"id":"https://openalex.org/I83259278","display_name":"Manouba University","ror":"https://ror.org/0503ejf32","country_code":"TN","type":"education","lineage":["https://openalex.org/I83259278"]}],"countries":["TN"],"is_corresponding":false,"raw_author_name":"C. Ali Ben Abbes","raw_affiliation_strings":["National School of Computer Science,Riadi Laboratory,Manouba,Tunisia,2010"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National School of Computer Science,Riadi Laboratory,Manouba,Tunisia,2010","institution_ids":["https://openalex.org/I83259278"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5107014067","display_name":"D. Imed Riadh Farah","orcid":null},"institutions":[{"id":"https://openalex.org/I83259278","display_name":"Manouba University","ror":"https://ror.org/0503ejf32","country_code":"TN","type":"education","lineage":["https://openalex.org/I83259278"]}],"countries":["TN"],"is_corresponding":false,"raw_author_name":"D. Imed Riadh Farah","raw_affiliation_strings":["National School of Computer Science,Riadi Laboratory,Manouba,Tunisia,2010"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National School of Computer Science,Riadi Laboratory,Manouba,Tunisia,2010","institution_ids":["https://openalex.org/I83259278"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"4109","last_page":"4113"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9991999864578247,"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":0.9991999864578247,"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":0.993399977684021,"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/T10111","display_name":"Remote Sensing in Agriculture","score":0.9912999868392944,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7815250754356384},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7181975245475769},{"id":"https://openalex.org/keywords/land-cover","display_name":"Land cover","score":0.6791516542434692},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.6234556436538696},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5377763509750366},{"id":"https://openalex.org/keywords/cover","display_name":"Cover (algebra)","score":0.5097002983093262},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4673156142234802},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.4341243803501129},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4263271987438202},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.4075627326965332},{"id":"https://openalex.org/keywords/land-use","display_name":"Land use","score":0.21002355217933655},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.15294265747070312},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.14313611388206482},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.1298307478427887},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.10126784443855286},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.0826166570186615}],"concepts":[{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7815250754356384},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7181975245475769},{"id":"https://openalex.org/C2780648208","wikidata":"https://www.wikidata.org/wiki/Q3001793","display_name":"Land cover","level":3,"score":0.6791516542434692},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.6234556436538696},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5377763509750366},{"id":"https://openalex.org/C2780428219","wikidata":"https://www.wikidata.org/wiki/Q16952335","display_name":"Cover (algebra)","level":2,"score":0.5097002983093262},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4673156142234802},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.4341243803501129},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4263271987438202},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.4075627326965332},{"id":"https://openalex.org/C4792198","wikidata":"https://www.wikidata.org/wiki/Q1165944","display_name":"Land use","level":2,"score":0.21002355217933655},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.15294265747070312},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.14313611388206482},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.1298307478427887},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.10126784443855286},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0826166570186615},{"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/C147176958","wikidata":"https://www.wikidata.org/wiki/Q77590","display_name":"Civil engineering","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/igarss53475.2024.10640796","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/igarss53475.2024.10640796","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"},{"id":"pmh:oai:HAL:hal-04979555v1","is_oa":false,"landing_page_url":"https://hal.inrae.fr/hal-04979555","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium, Jul 2024, Ath\u00e8nes, Greece. pp.4109-4113, &#x27E8;10.1109/IGARSS53475.2024.10640796&#x27E9;","raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Climate action","id":"https://metadata.un.org/sdg/13","score":0.5600000023841858}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W2118246710","https://openalex.org/W2581906016","https://openalex.org/W2778213167","https://openalex.org/W2783608381","https://openalex.org/W2783670427","https://openalex.org/W2890443177","https://openalex.org/W2963131120","https://openalex.org/W2969850065","https://openalex.org/W3005428246","https://openalex.org/W4200239139","https://openalex.org/W4200524106","https://openalex.org/W4328050851"],"related_works":["https://openalex.org/W2952813363","https://openalex.org/W4360783045","https://openalex.org/W2963346891","https://openalex.org/W3176438653","https://openalex.org/W2770149305","https://openalex.org/W3167930666","https://openalex.org/W3014952856","https://openalex.org/W3010730661","https://openalex.org/W2043913960","https://openalex.org/W3129683637"],"abstract_inverted_index":{"Effectively":[0],"characterize":[1],"the":[2,32,39,50,55,64,88,92,99,102,126,134,144],"current":[3],"land":[4,19,68,113],"cover":[5,69,114],"status":[6],"is":[7],"crucial":[8],"for":[9,63],"assessing":[10],"agricultural":[11],"production,":[12],"monitoring":[13],"natural":[14],"resources,":[15],"and":[16,82,139],"making":[17],"informed":[18],"management":[20],"decisions.":[21],"Satellite":[22],"Image":[23],"Time":[24],"Series":[25],"(SITS)":[26],"data,":[27],"capturing":[28],"spatio-temporal":[29,56],"information,":[30],"are":[31],"primary":[33],"source":[34],"of":[35,42,67,101,137],"information":[36,57,86,141],"to":[37,52,90],"support":[38],"general":[40],"task":[41,66],"Land":[43,45],"Use":[44],"Cover":[46],"(LULC)":[47],"mapping.":[48],"With":[49],"aim":[51],"effectively":[53],"exploit":[54],"carried":[58],"out":[59],"by":[60],"SITS":[61,85],"data":[62],"underlying":[65],"mapping,":[70],"here":[71],"we":[72,105],"introduce":[73],"a":[74,107,118],"multi-scale":[75],"classification":[76,145],"framework":[77],"that":[78,133],"combines":[79],"together":[80],"pixel-level":[81,93,138],"object-level":[83,140],"multivariate":[84],"with":[87,110],"objective":[89],"ameliorate":[91],"time":[94],"series":[95],"analysis.":[96],"To":[97],"assess":[98],"behaviour":[100],"proposed":[103],"framework,":[104],"provide":[106],"comparative":[108],"analysis":[109],"several":[111],"SITS-based":[112],"mapping":[115],"strategies":[116],"on":[117],"challenging":[119],"study":[120],"area,":[121],"namely":[122],"Koumbia,":[123],"located":[124],"in":[125],"Burkina":[127],"Faso.":[128],"The":[129],"obtained":[130],"results":[131],"reveal":[132],"joint":[135],"use":[136],"clearly":[142],"ameliorates":[143],"performances.":[146]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
