{"id":"https://openalex.org/W4387802628","doi":"https://doi.org/10.1109/igarss52108.2023.10282190","title":"Investigating Sar-Optical Deep Learning Data Fusion to Map the Brazilian Cerrado Vegetation with Sentinel Data","display_name":"Investigating Sar-Optical Deep Learning Data Fusion to Map the Brazilian Cerrado Vegetation with Sentinel Data","publication_year":2023,"publication_date":"2023-07-16","ids":{"openalex":"https://openalex.org/W4387802628","doi":"https://doi.org/10.1109/igarss52108.2023.10282190"},"language":"en","primary_location":{"id":"doi:10.1109/igarss52108.2023.10282190","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss52108.2023.10282190","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://ris.utwente.nl/ws/files/350436697/Investigating_Sar-Optical_Deep_Learning_Data_Fusion_to_Map_the_Brazilian_Cerrado_Vegetation_with_Sentinel_Data.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5040596065","display_name":"Paulo Silva Filho","orcid":null},"institutions":[{"id":"https://openalex.org/I107428990","display_name":"Instituto Tecnol\u00f3gico de Aeron\u00e1utica","ror":"https://ror.org/05vh67662","country_code":"BR","type":"education","lineage":["https://openalex.org/I107428990"]},{"id":"https://openalex.org/I4210123805","display_name":"Instituto de Aeron\u00e1utica e Espa\u00e7o","ror":"https://ror.org/025n1fp68","country_code":"BR","type":"other","lineage":["https://openalex.org/I4210123805"]},{"id":"https://openalex.org/I94624287","display_name":"University of Twente","ror":"https://ror.org/006hf6230","country_code":"NL","type":"education","lineage":["https://openalex.org/I94624287"]}],"countries":["BR","NL"],"is_corresponding":false,"raw_author_name":"Paulo Silva Filho","raw_affiliation_strings":["Aeronautics Institute of Technology,São José dos Campos-SP,Brazil","Faculty of Geo-Information Science and Earth Observation, University of Twente, Enschede, The Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Aeronautics Institute of Technology,São José dos Campos-SP,Brazil","institution_ids":["https://openalex.org/I107428990","https://openalex.org/I4210123805"]},{"raw_affiliation_string":"Faculty of Geo-Information Science and Earth Observation, University of Twente, Enschede, The Netherlands","institution_ids":["https://openalex.org/I94624287"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029035818","display_name":"Claudio Persello","orcid":"https://orcid.org/0000-0003-3742-5398"},"institutions":[{"id":"https://openalex.org/I94624287","display_name":"University of Twente","ror":"https://ror.org/006hf6230","country_code":"NL","type":"education","lineage":["https://openalex.org/I94624287"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Claudio Persello","raw_affiliation_strings":["University of Twente,Faculty of Geo-Information Science and Earth Observation,Enschede,The Netherlands","Faculty of Geo-Information Science and Earth Observation, University of Twente, Enschede, The Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Twente,Faculty of Geo-Information Science and Earth Observation,Enschede,The Netherlands","institution_ids":["https://openalex.org/I94624287"]},{"raw_affiliation_string":"Faculty of Geo-Information Science and Earth Observation, University of Twente, Enschede, The Netherlands","institution_ids":["https://openalex.org/I94624287"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062875901","display_name":"Raian Vargas Maretto","orcid":"https://orcid.org/0000-0002-4983-2700"},"institutions":[{"id":"https://openalex.org/I94624287","display_name":"University of Twente","ror":"https://ror.org/006hf6230","country_code":"NL","type":"education","lineage":["https://openalex.org/I94624287"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Raian V. Maretto","raw_affiliation_strings":["University of Twente,Faculty of Geo-Information Science and Earth Observation,Enschede,The Netherlands","Faculty of Geo-Information Science and Earth Observation, University of Twente, Enschede, The Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Twente,Faculty of Geo-Information Science and Earth Observation,Enschede,The Netherlands","institution_ids":["https://openalex.org/I94624287"]},{"raw_affiliation_string":"Faculty of Geo-Information Science and Earth Observation, University of Twente, Enschede, The Netherlands","institution_ids":["https://openalex.org/I94624287"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5009137640","display_name":"Renato Machado","orcid":"https://orcid.org/0000-0003-0856-5391"},"institutions":[{"id":"https://openalex.org/I107428990","display_name":"Instituto Tecnol\u00f3gico de Aeron\u00e1utica","ror":"https://ror.org/05vh67662","country_code":"BR","type":"education","lineage":["https://openalex.org/I107428990"]},{"id":"https://openalex.org/I4210123805","display_name":"Instituto de Aeron\u00e1utica e Espa\u00e7o","ror":"https://ror.org/025n1fp68","country_code":"BR","type":"other","lineage":["https://openalex.org/I4210123805"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Renato Machado","raw_affiliation_strings":["Aeronautics Institute of Technology,São José dos Campos-SP,Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Aeronautics Institute of Technology,São José dos Campos-SP,Brazil","institution_ids":["https://openalex.org/I107428990","https://openalex.org/I4210123805"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":4.0807,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.9347875,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1365","last_page":"1368"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10111","display_name":"Remote Sensing in Agriculture","score":0.9991000294685364,"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"}},"topics":[{"id":"https://openalex.org/T10111","display_name":"Remote Sensing in Agriculture","score":0.9991000294685364,"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/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.991599977016449,"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"}},{"id":"https://openalex.org/T12157","display_name":"Geochemistry and Geologic Mapping","score":0.9832000136375427,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/vegetation","display_name":"Vegetation (pathology)","score":0.7156271934509277},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.5881925821304321},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.48088744282722473},{"id":"https://openalex.org/keywords/synthetic-aperture-radar","display_name":"Synthetic aperture radar","score":0.4383859932422638},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4243549108505249},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.42358189821243286},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4234102964401245},{"id":"https://openalex.org/keywords/3d-optical-data-storage","display_name":"3D optical data storage","score":0.41752681136131287},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.3724876046180725},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.28268927335739136},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.27499455213546753}],"concepts":[{"id":"https://openalex.org/C2776133958","wikidata":"https://www.wikidata.org/wiki/Q7918366","display_name":"Vegetation (pathology)","level":2,"score":0.7156271934509277},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.5881925821304321},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.48088744282722473},{"id":"https://openalex.org/C87360688","wikidata":"https://www.wikidata.org/wiki/Q740686","display_name":"Synthetic aperture radar","level":2,"score":0.4383859932422638},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4243549108505249},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.42358189821243286},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4234102964401245},{"id":"https://openalex.org/C128717455","wikidata":"https://www.wikidata.org/wiki/Q2024185","display_name":"3D optical data storage","level":2,"score":0.41752681136131287},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.3724876046180725},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.28268927335739136},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.27499455213546753},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","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}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/igarss52108.2023.10282190","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss52108.2023.10282190","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"},{"id":"pmh:oai:ris.utwente.nl:publications/ee75d7c7-2d0d-4500-9535-f35570302ec9","is_oa":true,"landing_page_url":"https://research.utwente.nl/en/publications/ee75d7c7-2d0d-4500-9535-f35570302ec9","pdf_url":"https://ris.utwente.nl/ws/files/350436697/Investigating_Sar-Optical_Deep_Learning_Data_Fusion_to_Map_the_Brazilian_Cerrado_Vegetation_with_Sentinel_Data.pdf","source":{"id":"https://openalex.org/S4406922991","display_name":"University of Twente Research Information","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"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":null,"raw_type":"info:eu-repo/semantics/conferenceObject"},{"id":"pmh:oai:ris.utwente.nl:openaire/ee75d7c7-2d0d-4500-9535-f35570302ec9","is_oa":true,"landing_page_url":"https://research.utwente.nl/files/350436697/Investigating_Sar-Optical_Deep_Learning_Data_Fusion_to_Map_the_Brazilian_Cerrado_Vegetation_with_Sentinel_Data.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S4406922991","display_name":"University of Twente Research Information","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"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":null,"raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":{"id":"pmh:oai:ris.utwente.nl:publications/ee75d7c7-2d0d-4500-9535-f35570302ec9","is_oa":true,"landing_page_url":"https://research.utwente.nl/en/publications/ee75d7c7-2d0d-4500-9535-f35570302ec9","pdf_url":"https://ris.utwente.nl/ws/files/350436697/Investigating_Sar-Optical_Deep_Learning_Data_Fusion_to_Map_the_Brazilian_Cerrado_Vegetation_with_Sentinel_Data.pdf","source":{"id":"https://openalex.org/S4406922991","display_name":"University of Twente Research Information","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"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":null,"raw_type":"info:eu-repo/semantics/conferenceObject"},"sustainable_development_goals":[{"score":0.75,"display_name":"Life in Land","id":"https://metadata.un.org/sdg/15"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4387802628.pdf"},"referenced_works_count":10,"referenced_works":["https://openalex.org/W2945199820","https://openalex.org/W2956041202","https://openalex.org/W2972235037","https://openalex.org/W2985175000","https://openalex.org/W3011435629","https://openalex.org/W3080573970","https://openalex.org/W3160248683","https://openalex.org/W3205340507","https://openalex.org/W4210536186","https://openalex.org/W4282559067"],"related_works":["https://openalex.org/W4375867731","https://openalex.org/W2611989081","https://openalex.org/W4230611425","https://openalex.org/W2731899572","https://openalex.org/W4294635752","https://openalex.org/W2132659060","https://openalex.org/W2031992971","https://openalex.org/W3214791684","https://openalex.org/W2353265673","https://openalex.org/W2152662039"],"abstract_inverted_index":{"Despite":[0],"its":[1],"environmental":[2],"and":[3,28,49,91,103],"societal":[4],"importance,":[5],"accurately":[6],"mapping":[7],"the":[8,42,59,68,81,86,92,106,109,115],"Brazilian":[9],"Cerrado\u2019s":[10],"vegetation":[11],"is":[12,71,112],"still":[13],"an":[14],"open":[15],"challenge.":[16],"Its":[17],"diverse":[18],"but":[19],"spectrally":[20],"similar":[21],"physiognomies":[22],"are":[23,78],"difficult":[24],"to":[25,57,62,73,117],"be":[26],"identified":[27],"mapped":[29],"by":[30,80],"state-of-the-art":[31],"methods":[32],"from":[33],"only":[34],"medium-to":[35],"high-resolution":[36],"optical":[37,50],"images.":[38],"This":[39],"work":[40],"investigates":[41],"fusion":[43,101],"of":[44],"Synthetic":[45],"Aperture":[46],"Radar":[47],"(SAR)":[48],"data":[51,94,100,110],"in":[52,83],"convolutional":[53],"neural":[54],"network":[55,116],"architectures":[56],"map":[58],"Cerrado":[60],"according":[61],"a":[63],"2-level":[64],"class":[65],"hierarchy.":[66],"Additionally,":[67],"proposed":[69],"model":[70],"designed":[72],"deal":[74],"with":[75],"uncertainties":[76],"that":[77,105],"brought":[79],"difference":[82],"resolution":[84],"between":[85],"input":[87],"images":[88],"(at":[89,95],"10m)":[90],"reference":[93],"30m).":[96],"We":[97],"tested":[98],"four":[99],"strategies":[102],"showed":[104],"position":[107],"for":[108,114],"combination":[111],"important":[113],"learn":[118],"better":[119],"features.":[120]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2}],"updated_date":"2026-08-01T09:00:35.917206","created_date":"2025-10-10T00:00:00"}