{"id":"https://openalex.org/W3171239169","doi":"https://doi.org/10.1109/igarss47720.2021.9553712","title":"Attention Based Semantic Segmentation on UAV Dataset for Natural Disaster Damage Assessment","display_name":"Attention Based Semantic Segmentation on UAV Dataset for Natural Disaster Damage Assessment","publication_year":2021,"publication_date":"2021-07-11","ids":{"openalex":"https://openalex.org/W3171239169","doi":"https://doi.org/10.1109/igarss47720.2021.9553712","mag":"3171239169"},"language":"en","primary_location":{"id":"doi:10.1109/igarss47720.2021.9553712","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss47720.2021.9553712","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2105.14540","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5037500879","display_name":"Tashnim Chowdhury","orcid":"https://orcid.org/0000-0003-0371-8109"},"institutions":[{"id":"https://openalex.org/I79272384","display_name":"University of Maryland, Baltimore County","ror":"https://ror.org/02qskvh78","country_code":"US","type":"education","lineage":["https://openalex.org/I79272384"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Tashnim Chowdhury","raw_affiliation_strings":["University of Maryland Baltimore County Baltimore,Computer Vision and Remote Sensing Laboratory (Bina Lab),Department of Information Systems,Maryland,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Maryland Baltimore County Baltimore,Computer Vision and Remote Sensing Laboratory (Bina Lab),Department of Information Systems,Maryland,USA","institution_ids":["https://openalex.org/I79272384"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5010792548","display_name":"Maryam Rahnemoonfar","orcid":"https://orcid.org/0000-0001-9358-2836"},"institutions":[{"id":"https://openalex.org/I79272384","display_name":"University of Maryland, Baltimore County","ror":"https://ror.org/02qskvh78","country_code":"US","type":"education","lineage":["https://openalex.org/I79272384"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Maryam Rahnemoonfar","raw_affiliation_strings":["University of Maryland Baltimore County Baltimore,Computer Vision and Remote Sensing Laboratory (Bina Lab),Department of Information Systems,Maryland,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Maryland Baltimore County Baltimore,Computer Vision and Remote Sensing Laboratory (Bina Lab),Department of Information Systems,Maryland,USA","institution_ids":["https://openalex.org/I79272384"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I79272384"],"apc_list":null,"apc_paid":null,"fwci":0.0955,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.3257225,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"2325","last_page":"2328"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9987999796867371,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9987999796867371,"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/T10930","display_name":"Flood Risk Assessment and Management","score":0.9911999702453613,"subfield":{"id":"https://openalex.org/subfields/2306","display_name":"Global and Planetary Change"},"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9904000163078308,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/natural-disaster","display_name":"Natural disaster","score":0.6979894042015076},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6715227365493774},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6509051322937012},{"id":"https://openalex.org/keywords/natural","display_name":"Natural (archaeology)","score":0.5888383388519287},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.520172119140625},{"id":"https://openalex.org/keywords/plan","display_name":"Plan (archaeology)","score":0.5044163465499878},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3901206851005554},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.17825844883918762}],"concepts":[{"id":"https://openalex.org/C166566181","wikidata":"https://www.wikidata.org/wiki/Q8065","display_name":"Natural disaster","level":2,"score":0.6979894042015076},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6715227365493774},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6509051322937012},{"id":"https://openalex.org/C2776608160","wikidata":"https://www.wikidata.org/wiki/Q4785462","display_name":"Natural (archaeology)","level":2,"score":0.5888383388519287},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.520172119140625},{"id":"https://openalex.org/C2776505523","wikidata":"https://www.wikidata.org/wiki/Q4785468","display_name":"Plan (archaeology)","level":2,"score":0.5044163465499878},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3901206851005554},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.17825844883918762},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.0},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0}],"mesh":[],"locations_count":6,"locations":[{"id":"doi:10.1109/igarss47720.2021.9553712","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss47720.2021.9553712","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2105.14540","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2105.14540","pdf_url":"https://arxiv.org/pdf/2105.14540","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,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"pmh:oai:mdsoar.org:11603/21746","is_oa":true,"landing_page_url":"http://hdl.handle.net/11603/21746","pdf_url":"http://hdl.handle.net/11603/21746","source":{"id":"https://openalex.org/S4306402556","display_name":"Maryland Shared Open Access Repository (USMAI Consortium)","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Text"},{"id":"mag:3171239169","is_oa":true,"landing_page_url":"http://export.arxiv.org/pdf/2105.14540","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,"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":"arXiv (Cornell University)","raw_type":null},{"id":"doi:10.48550/arxiv.2105.14540","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2105.14540","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,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"},{"id":"doi:10.13016/m25oqs-2fqb","is_oa":true,"landing_page_url":"https://doi.org/10.13016/m25oqs-2fqb","pdf_url":null,"source":{"id":"https://openalex.org/S4306402644","display_name":"Digital Repository at the University of Maryland (University of Maryland College Park)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I66946132","host_organization_name":"University of Maryland, College Park","host_organization_lineage":["https://openalex.org/I66946132"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Collection"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2105.14540","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2105.14540","pdf_url":"https://arxiv.org/pdf/2105.14540","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,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[{"score":0.7699999809265137,"display_name":"Climate action","id":"https://metadata.un.org/sdg/13"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3171239169.pdf","grobid_xml":"https://content.openalex.org/works/W3171239169.grobid-xml"},"referenced_works_count":23,"referenced_works":["https://openalex.org/W1903029394","https://openalex.org/W2125215748","https://openalex.org/W2194775991","https://openalex.org/W2340897893","https://openalex.org/W2419448466","https://openalex.org/W2560023338","https://openalex.org/W2901139858","https://openalex.org/W2955058313","https://openalex.org/W2963526604","https://openalex.org/W2964309882","https://openalex.org/W3016460859","https://openalex.org/W3039427991","https://openalex.org/W3082958251","https://openalex.org/W3083718391","https://openalex.org/W3110791293","https://openalex.org/W3137356689","https://openalex.org/W6717372056","https://openalex.org/W6748481559","https://openalex.org/W6756709046","https://openalex.org/W6776127678","https://openalex.org/W6779888764","https://openalex.org/W6782530550","https://openalex.org/W6787376183"],"related_works":["https://openalex.org/W3207809295","https://openalex.org/W3007325754","https://openalex.org/W2905543287","https://openalex.org/W3045468501","https://openalex.org/W3205364717","https://openalex.org/W3014700452","https://openalex.org/W1967223694","https://openalex.org/W2808130550","https://openalex.org/W3187310013","https://openalex.org/W3015433531","https://openalex.org/W3011467724","https://openalex.org/W3127802402","https://openalex.org/W3140905399","https://openalex.org/W2024404047","https://openalex.org/W2073270374","https://openalex.org/W3179713855","https://openalex.org/W125229880","https://openalex.org/W2016148424","https://openalex.org/W2740889922","https://openalex.org/W3004026256"],"abstract_inverted_index":{"The":[0,86],"detrimental":[1],"impacts":[2],"of":[3,21,56,79],"climate":[4],"change":[5],"include":[6],"stronger":[7],"and":[8,26,74,103],"more":[9],"destructive":[10],"hurricanes":[11],"happening":[12],"all":[13],"over":[14],"the":[15,33,42,83],"world.":[16],"Identifying":[17],"different":[18,54],"damaged":[19],"structures":[20],"an":[22,57],"area":[23],"including":[24],"buildings":[25],"roads":[27],"are":[28],"vital":[29],"since":[30],"it":[31],"helps":[32,51],"rescue":[34],"team":[35],"to":[36,40,52,89],"plan":[37],"their":[38],"efforts":[39],"minimize":[41],"damage":[43,96],"caused":[44],"by":[45],"a":[46,61,69],"natural":[47,94],"disaster.":[48],"Semantic":[49],"segmentation":[50,66],"identify":[53],"parts":[55],"image.":[58],"We":[59],"implement":[60],"novel":[62],"self-attention":[63,91],"based":[64],"semantic":[65],"model":[67],"on":[68,82],"high":[70],"resolution":[71],"UAV":[72],"dataset":[73],"attain":[75],"Mean":[76],"IoU":[77],"score":[78],"around":[80],"88%":[81],"test":[84],"set.":[85],"result":[87],"inspires":[88],"use":[90],"schemes":[92],"in":[93],"disaster":[95],"assessment":[97],"which":[98],"will":[99],"save":[100],"human":[101],"lives":[102],"reduce":[104],"economic":[105],"losses.":[106]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2026-08-05T07:39:15.569665","created_date":"2025-10-10T00:00:00"}
