{"id":"https://openalex.org/W3094292582","doi":"https://doi.org/10.1109/access.2020.3031533","title":"Methodology of Data Fusion Using Deep Learning for Semantic Segmentation of Land Types in the Amazon","display_name":"Methodology of Data Fusion Using Deep Learning for Semantic Segmentation of Land Types in the Amazon","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3094292582","doi":"https://doi.org/10.1109/access.2020.3031533","mag":"3094292582"},"language":"en","primary_location":{"id":"doi:10.1109/access.2020.3031533","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.3031533","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09224624.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09224624.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5057873585","display_name":"Joel Parente De Oliveira","orcid":"https://orcid.org/0000-0002-7691-9457"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Joel Parente De Oliveira","raw_affiliation_strings":["Operations and Management Center of the Amazon Protection System (CENSIPAM), Manaus, Brazil"],"affiliations":[{"raw_affiliation_string":"Operations and Management Center of the Amazon Protection System (CENSIPAM), Manaus, Brazil","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057891403","display_name":"M. G. F. Costa","orcid":"https://orcid.org/0000-0002-6839-1402"},"institutions":[{"id":"https://openalex.org/I62885914","display_name":"Universidade Federal do Amazonas","ror":"https://ror.org/02263ky35","country_code":"BR","type":"education","lineage":["https://openalex.org/I62885914"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Marly Guimaraes Fernandes Costa","raw_affiliation_strings":["Federal University of Amazonas, Manaus, Brazil"],"affiliations":[{"raw_affiliation_string":"Federal University of Amazonas, Manaus, Brazil","institution_ids":["https://openalex.org/I62885914"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5004818827","display_name":"C\u00edcero Ferreira Fernandes Costa Filho","orcid":"https://orcid.org/0000-0003-3325-5715"},"institutions":[{"id":"https://openalex.org/I62885914","display_name":"Universidade Federal do Amazonas","ror":"https://ror.org/02263ky35","country_code":"BR","type":"education","lineage":["https://openalex.org/I62885914"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Cicero Ferreira Fernandes Costa Filho","raw_affiliation_strings":["Federal University of Amazonas, Manaus, Brazil"],"affiliations":[{"raw_affiliation_string":"Federal University of Amazonas, Manaus, Brazil","institution_ids":["https://openalex.org/I62885914"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5057873585"],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.9558,"has_fulltext":true,"cited_by_count":10,"citation_normalized_percentile":{"value":0.82256151,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"8","issue":null,"first_page":"187864","last_page":"187875"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11659","display_name":"Advanced Image Fusion Techniques","score":0.989799976348877,"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.989799976348877,"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9891999959945679,"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/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9768999814987183,"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/computer-science","display_name":"Computer science","score":0.7704089283943176},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.730755090713501},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5429158210754395},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5338678359985352},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.4912545084953308},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.42962098121643066},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3265266418457031}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7704089283943176},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.730755090713501},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5429158210754395},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5338678359985352},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4912545084953308},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.42962098121643066},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3265266418457031}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2020.3031533","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.3031533","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09224624.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:76a7190f37424c5f881cd692e9479941","is_oa":true,"landing_page_url":"https://doaj.org/article/76a7190f37424c5f881cd692e9479941","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":"IEEE Access, Vol 8, Pp 187864-187875 (2020)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2020.3031533","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.3031533","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09224624.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.5799999833106995,"id":"https://metadata.un.org/sdg/15","display_name":"Life in Land"}],"awards":[{"id":"https://openalex.org/G3883789297","display_name":null,"funder_award_id":"Code 00","funder_id":"https://openalex.org/F4320321091","funder_display_name":"Coordena\u00e7\u00e3o de Aperfei\u00e7oamento de Pessoal de N\u00edvel Superior"},{"id":"https://openalex.org/G3938906640","display_name":null,"funder_award_id":"(CAPES)","funder_id":"https://openalex.org/F4320321091","funder_display_name":"Coordena\u00e7\u00e3o de Aperfei\u00e7oamento de Pessoal de N\u00edvel Superior"},{"id":"https://openalex.org/G4257313756","display_name":null,"funder_award_id":"8.387/1991","funder_id":"https://openalex.org/F4320332195","funder_display_name":"Samsung"},{"id":"https://openalex.org/G5139334624","display_name":null,"funder_award_id":"Coordena\u00e7\u00e3o","funder_id":"https://openalex.org/F4320321091","funder_display_name":"Coordena\u00e7\u00e3o de Aperfei\u00e7oamento de Pessoal de N\u00edvel Superior"},{"id":"https://openalex.org/G8837013128","display_name":null,"funder_award_id":"Code 0","funder_id":"https://openalex.org/F4320321091","funder_display_name":"Coordena\u00e7\u00e3o de Aperfei\u00e7oamento de Pessoal de N\u00edvel Superior"},{"id":"https://openalex.org/G963174003","display_name":null,"funder_award_id":"de Aperfei\u00e7","funder_id":"https://openalex.org/F4320321091","funder_display_name":"Coordena\u00e7\u00e3o de Aperfei\u00e7oamento de Pessoal de N\u00edvel Superior"}],"funders":[{"id":"https://openalex.org/F4320318869","display_name":"Universidade Federal do Amazonas","ror":"https://ror.org/02263ky35"},{"id":"https://openalex.org/F4320321091","display_name":"Coordena\u00e7\u00e3o de Aperfei\u00e7oamento de Pessoal de N\u00edvel Superior","ror":"https://ror.org/00x0ma614"},{"id":"https://openalex.org/F4320332195","display_name":"Samsung","ror":"https://ror.org/04w3jy968"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3094292582.pdf","grobid_xml":"https://content.openalex.org/works/W3094292582.grobid-xml"},"referenced_works_count":21,"referenced_works":["https://openalex.org/W1606936601","https://openalex.org/W2194775991","https://openalex.org/W2531409750","https://openalex.org/W2896556344","https://openalex.org/W2899385296","https://openalex.org/W2903301943","https://openalex.org/W2912633107","https://openalex.org/W2919115771","https://openalex.org/W2940756181","https://openalex.org/W2963163009","https://openalex.org/W2964350391","https://openalex.org/W2964984782","https://openalex.org/W2971890297","https://openalex.org/W2981849677","https://openalex.org/W3007627489","https://openalex.org/W3011156941","https://openalex.org/W3011869042","https://openalex.org/W3021436325","https://openalex.org/W3022838084","https://openalex.org/W6694260854","https://openalex.org/W6769377118"],"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/W4304166257","https://openalex.org/W4383066092","https://openalex.org/W3215138031","https://openalex.org/W4379231730","https://openalex.org/W1522196789"],"abstract_inverted_index":{"This":[0],"study":[1,63],"proposes":[2],"a":[3,9,28,40,45,167],"methodology":[4,71,201,216],"using":[5,27,39,180],"deep":[6],"learning":[7,182],"and":[8,30,80,112,130,132,135,172,197],"multi-resolution":[10,41],"segmentation":[11,17,42,206],"algorithm":[12],"to":[13,166],"perform":[14],"the":[15,23,56,65,75,95,98,107,113,133,161,173,181,188,211,214,230],"semantic":[16],"of":[18,62,97,207,210],"remote":[19],"sensing":[20],"images.":[21,88],"Initially":[22],"image":[24,33,205],"is":[25,37,49],"segmented":[26],"CNN,":[29],"then":[31],"an":[32],"with":[34,51,109,115,124,177],"homogeneous":[35],"regions":[36,209,220],"generated":[38],"algorithm.":[43],"Finally,":[44,213],"data":[46,84,91],"fusion":[47],"process":[48],"performed":[50],"these":[52],"two":[53],"images,":[54],"generating":[55],"final":[57],"classified":[58],"image.":[59],"The":[60,69,82,89,147,199,225],"field":[61],"was":[64,164,202,217],"Brazilian":[66],"Amazon":[67],"region.":[68],"proposed":[70,200,215],"classifies":[72],"images":[73,231],"in":[74,101,160,185,219],"following":[76],"classes:":[77],"forest,":[78],"pasture":[79],"agriculture.":[81],"input":[83],"used":[85,190,221],"were":[86,92,105,121,175,193,233],"LANDSAT-8/OLI":[87],"reference":[90],"extracted":[93],"from":[94],"results":[96,174],"TerraClass":[99],"project":[100],"2014.":[102],"Two":[103],"datasets":[104],"evaluated:":[106],"first":[108],"six":[110],"bands":[111],"second":[114],"three":[116,125],"bands.":[117],"Three":[118],"CNN":[119,150],"architectures":[120],"evaluated":[122,159,203,218,232],"together":[123],"optimization":[126,152],"methods:":[127],"SGDM,":[128],"ADAM,":[129],"RMSProp":[131],"dropout":[134],"L":[136],"<sub":[137],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[138],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">2</sub>":[139],"regularization":[140],"methods":[141,143],"as":[142],"for":[144,156,191,229],"generalization":[145,157],"improvement.":[146],"best":[148],"model,":[149],"+":[151,154],"method":[153],"technique":[155],"improvement,":[158],"validation":[162,170],"set,":[163],"submitted":[165],"5-fold":[168],"cross":[169],"methodology,":[171],"compared":[176],"pre-trained":[178],"networks":[179,189],"transfer":[183],"methodology;":[184],"this":[186],"case":[187],"comparison":[192],"ResNet50,":[194],"InceptionResnetv2,":[195],"MobileNetv2":[196],"Xception.":[198],"through":[204],"some":[208],"Amazon.":[212],"by":[222],"other":[223],"authors.":[224],"accuracy":[226],"values":[227],"obtained":[228],"over":[234],"99%.":[235]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2026-04-18T07:56:08.524223","created_date":"2025-10-10T00:00:00"}