{"id":"https://openalex.org/W2941978588","doi":"https://doi.org/10.1109/intercon.2019.8853549","title":"End-to-end Cloud Segmentation in High-Resolution Multispectral Satellite Imagery Using Deep Learning","display_name":"End-to-end Cloud Segmentation in High-Resolution Multispectral Satellite Imagery Using Deep Learning","publication_year":2019,"publication_date":"2019-08-01","ids":{"openalex":"https://openalex.org/W2941978588","doi":"https://doi.org/10.1109/intercon.2019.8853549","mag":"2941978588"},"language":"en","primary_location":{"id":"doi:10.1109/intercon.2019.8853549","doi":"https://doi.org/10.1109/intercon.2019.8853549","is_oa":false,"landing_page_url":"https://doi.org/10.1109/intercon.2019.8853549","pdf_url":null,"source":{"id":"https://openalex.org/S4306498332","display_name":"IEEE International Conference on Electronics, Electrical Engineering and Computing (INTERCON)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE XXVI International Conference on Electronics, Electrical Engineering and Computing (INTERCON)","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","is_traditional":true,"indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1904.12743","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5061652989","display_name":"Giorgio Morales","orcid":"https://orcid.org/0000-0003-2911-8558","observed_orcids":["https://orcid.org/0000-0003-2911-8558"]},"institutions":[{"id":"https://openalex.org/I4405278504","display_name":"Instituto Nacional de Investigaci\u00f3n y Capacitaci\u00f3n de Telecomunicaciones","ror":"https://ror.org/004w2wp12","country_code":"PE","type":"facility","lineage":["https://openalex.org/I4405278504","https://openalex.org/I62520931"]},{"id":"https://openalex.org/I62520931","display_name":"National University of Engineering","ror":"https://ror.org/006v63s16","country_code":"PE","type":"education","lineage":["https://openalex.org/I62520931"]}],"countries":["PE"],"is_corresponding":false,"raw_author_name":"Giorgio Morales","raw_affiliation_strings":["National Institute of Research and Training in Telecommunications (INICTEL-UNI), National University of Engineering, Lima, Peru"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Institute of Research and Training in Telecommunications (INICTEL-UNI), National University of Engineering, Lima, Peru","institution_ids":["https://openalex.org/I4405278504","https://openalex.org/I62520931"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101861587","display_name":"Alejandro Ram\u00edrez","orcid":"https://orcid.org/0000-0003-1639-0907","observed_orcids":["https://orcid.org/0000-0003-1639-0907"]},"institutions":[{"id":"https://openalex.org/I4405278504","display_name":"Instituto Nacional de Investigaci\u00f3n y Capacitaci\u00f3n de Telecomunicaciones","ror":"https://ror.org/004w2wp12","country_code":"PE","type":"facility","lineage":["https://openalex.org/I4405278504","https://openalex.org/I62520931"]},{"id":"https://openalex.org/I62520931","display_name":"National University of Engineering","ror":"https://ror.org/006v63s16","country_code":"PE","type":"education","lineage":["https://openalex.org/I62520931"]}],"countries":["PE"],"is_corresponding":false,"raw_author_name":"Alejandro Ramirez","raw_affiliation_strings":["National Institute of Research and Training in Telecommunications (INICTEL-UNI), National University of Engineering, Lima, Peru"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Institute of Research and Training in Telecommunications (INICTEL-UNI), National University of Engineering, Lima, Peru","institution_ids":["https://openalex.org/I4405278504","https://openalex.org/I62520931"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5085151277","display_name":"Joel Telles","orcid":"https://orcid.org/0000-0002-1685-2289","observed_orcids":["https://orcid.org/0000-0002-1685-2289"]},"institutions":[{"id":"https://openalex.org/I4405278504","display_name":"Instituto Nacional de Investigaci\u00f3n y Capacitaci\u00f3n de Telecomunicaciones","ror":"https://ror.org/004w2wp12","country_code":"PE","type":"facility","lineage":["https://openalex.org/I4405278504","https://openalex.org/I62520931"]},{"id":"https://openalex.org/I62520931","display_name":"National University of Engineering","ror":"https://ror.org/006v63s16","country_code":"PE","type":"education","lineage":["https://openalex.org/I62520931"]}],"countries":["PE"],"is_corresponding":false,"raw_author_name":"Joel Telles","raw_affiliation_strings":["National Institute of Research and Training in Telecommunications (INICTEL-UNI), National University of Engineering, Lima, Peru"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Institute of Research and Training in Telecommunications (INICTEL-UNI), National University of Engineering, Lima, Peru","institution_ids":["https://openalex.org/I4405278504","https://openalex.org/I62520931"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.4041,"has_fulltext":true,"cited_by_count":15,"citation_normalized_percentile":{"value":0.67609287,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":87,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.5458999872207642,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.5458999872207642,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.447299987077713,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.0012000000569969416,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/cloud-segmentation","display_name":"cloud segmentation","score":0.9950000047683716},{"id":"https://openalex.org/keywords/high-resolution-satellite-imagery","display_name":"high-resolution satellite imagery","score":0.777999997138977},{"id":"https://openalex.org/keywords/multispectral-imagery","display_name":"multispectral imagery","score":0.9409999847412109},{"id":"https://openalex.org/keywords/cloud-detection","display_name":"cloud detection","score":0.6510000228881836},{"id":"https://openalex.org/keywords/end-to-end-segmentation","display_name":"end-to-end segmentation","score":0.8199999928474426},{"id":"https://openalex.org/keywords/deeplabv3","display_name":"DeepLabV3+","score":0.8960000276565552},{"id":"https://openalex.org/keywords/convolutional-neural-networks","display_name":"convolutional neural networks","score":0.8149999976158142}],"concepts":[{"id":"https://openalex.org/C173163844","wikidata":"https://www.wikidata.org/wiki/Q1761440","display_name":"Multispectral image","level":2,"score":0.766009509563446},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.6940708756446838},{"id":"https://openalex.org/C2778102629","wikidata":"https://www.wikidata.org/wiki/Q725252","display_name":"Satellite imagery","level":2,"score":0.6443328857421875},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6130678057670593},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5893844962120056},{"id":"https://openalex.org/C19269812","wikidata":"https://www.wikidata.org/wiki/Q26540","display_name":"Satellite","level":2,"score":0.575947642326355},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.5747801065444946},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.569735050201416},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5694215297698975},{"id":"https://openalex.org/C74296488","wikidata":"https://www.wikidata.org/wiki/Q2527392","display_name":"End-to-end principle","level":2,"score":0.5150332450866699},{"id":"https://openalex.org/C3020199158","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"High resolution","level":2,"score":0.503415048122406},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.44406819343566895},{"id":"https://openalex.org/C104541649","wikidata":"https://www.wikidata.org/wiki/Q6935090","display_name":"Multispectral pattern recognition","level":3,"score":0.413432776927948},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.35262274742126465},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.07357767224311829},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.048725247383117676},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/intercon.2019.8853549","doi":"https://doi.org/10.1109/intercon.2019.8853549","is_oa":false,"landing_page_url":"https://doi.org/10.1109/intercon.2019.8853549","pdf_url":null,"source":{"id":"https://openalex.org/S4306498332","display_name":"IEEE International Conference on Electronics, Electrical Engineering and Computing (INTERCON)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE XXVI International Conference on Electronics, Electrical Engineering and Computing (INTERCON)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:1904.12743","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/1904.12743","pdf_url":"https://arxiv.org/pdf/1904.12743","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"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":"doi:10.48550/arxiv.1904.12743","doi":"https://doi.org/10.48550/arxiv.1904.12743","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.1904.12743","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"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":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article-journal"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1904.12743","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/1904.12743","pdf_url":"https://arxiv.org/pdf/1904.12743","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"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":[],"study_designs":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320336058","display_name":"Instituto Nacional de Investigaci\u00f3n y Capacitaci\u00f3n de Telecomunicaciones, Universidad Nacional de Ingenieria","ror":"https://ror.org/004w2wp12"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2941978588.pdf","grobid_xml":"https://content.openalex.org/works/W2941978588.grobid-xml"},"referenced_works_count":16,"referenced_works":["https://openalex.org/W1533693043","https://openalex.org/W1985841051","https://openalex.org/W2028240797","https://openalex.org/W2084516844","https://openalex.org/W2211843587","https://openalex.org/W2417292811","https://openalex.org/W2514511683","https://openalex.org/W2548491386","https://openalex.org/W2886885064","https://openalex.org/W2895746732","https://openalex.org/W2903052844","https://openalex.org/W2908549901","https://openalex.org/W2952317021","https://openalex.org/W2963163009","https://openalex.org/W2964309882","https://openalex.org/W6754028430"],"related_works":["https://openalex.org/W2895746732","https://openalex.org/W4409817811","https://openalex.org/W4387944594","https://openalex.org/W2900733456","https://openalex.org/W2910279167","https://openalex.org/W4281569609","https://openalex.org/W4308344043","https://openalex.org/W2979481925","https://openalex.org/W4412102919","https://openalex.org/W3094042410"],"abstract_inverted_index":{"Segmenting":[0],"clouds":[1,20,89],"in":[2],"high-resolution":[3],"satellite":[4,22,42],"images":[5,66],"is":[6,56,124],"an":[7,84,109],"arduous":[8],"and":[9,19,31,72,119],"challenging":[10],"task":[11],"due":[12],"to":[13,28,126],"the":[14,51,60,81,98,105,127],"many":[15],"types":[16],"of":[17,41,53,64,67,83,111,114,117,121],"geographies":[18],"a":[21,91],"can":[23],"capture.":[24],"Therefore,":[25],"it":[26],"needs":[27],"be":[29],"automated":[30],"optimized,":[32],"specially":[33],"for":[34,88],"those":[35],"who":[36],"regularly":[37],"process":[38],"great":[39],"amounts":[40],"images,":[43],"such":[44],"as":[45,78,80],"governmental":[46],"institutions.":[47],"In":[48],"that":[49],"sense,":[50],"contribution":[52],"this":[54],"work":[55],"twofold:":[57],"We":[58],"present":[59],"CloudPeru2":[61],"dataset,":[62],"consisting":[63],"22,400":[65],"512":[68,70],"\u00d7":[69],"pixels":[71],"their":[73],"respective":[74],"hand-drawn":[75],"cloud":[76],"masks,":[77],"well":[79],"proposal":[82],"end-to-end":[85],"segmentation":[86],"method":[87],"using":[90],"Convolutional":[92],"Neural":[93],"Network":[94],"(CNN)":[95],"based":[96],"on":[97],"Deeplab":[99],"v3+":[100],"architecture.":[101],"The":[102],"results":[103],"over":[104],"test":[106],"set":[107],"achieved":[108],"accuracy":[110],"96.62%,":[112],"precision":[113],"96.46%,":[115],"specificity":[116],"98.53%,":[118],"sensitivity":[120],"96.72%":[122],"which":[123],"superior":[125],"compared":[128],"methods.":[129]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":3},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":4}],"updated_date":"2026-11-05T12:25:35.769452","created_date":"2019-05-03T00:00:00"}
