{"id":"https://openalex.org/W2912632739","doi":"https://doi.org/10.1109/bigdata.2018.8622284","title":"Semantic Segmentation of Complex Road Environments from Aerial Images Using Convolutional Neural Networks","display_name":"Semantic Segmentation of Complex Road Environments from Aerial Images Using Convolutional Neural Networks","publication_year":2018,"publication_date":"2018-12-01","ids":{"openalex":"https://openalex.org/W2912632739","doi":"https://doi.org/10.1109/bigdata.2018.8622284","mag":"2912632739"},"language":"en","primary_location":{"id":"doi:10.1109/bigdata.2018.8622284","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata.2018.8622284","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE International Conference on Big Data (Big Data)","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/A5007744140","display_name":"David Schweitzer","orcid":null},"institutions":[{"id":"https://openalex.org/I4210088792","display_name":"United States Army","ror":"https://ror.org/00afsp483","country_code":"US","type":"government","lineage":["https://openalex.org/I1304082316","https://openalex.org/I1330347796","https://openalex.org/I4210088792"]},{"id":"https://openalex.org/I4210126846","display_name":"Information Technology Laboratory","ror":"https://ror.org/0440c3437","country_code":"US","type":"government","lineage":["https://openalex.org/I1321296531","https://openalex.org/I1343035065","https://openalex.org/I4210126846"]},{"id":"https://openalex.org/I87303767","display_name":"U.S. Army Engineer Research and Development Center","ror":"https://ror.org/027mhn368","country_code":"US","type":"facility","lineage":["https://openalex.org/I1304082316","https://openalex.org/I1306490931","https://openalex.org/I1330347796","https://openalex.org/I87303767"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"David Schweitzer","raw_affiliation_strings":["Information Technology Laboratory, U.S. Army Engineer Research and Development Center, Vicksburg, MS, United States"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Information Technology Laboratory, U.S. Army Engineer Research and Development Center, Vicksburg, MS, United States","institution_ids":["https://openalex.org/I4210088792","https://openalex.org/I4210126846","https://openalex.org/I87303767"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5016702627","display_name":"Rajeev Agrawal","orcid":"https://orcid.org/0000-0002-5415-5230"},"institutions":[{"id":"https://openalex.org/I4210088792","display_name":"United States Army","ror":"https://ror.org/00afsp483","country_code":"US","type":"government","lineage":["https://openalex.org/I1304082316","https://openalex.org/I1330347796","https://openalex.org/I4210088792"]},{"id":"https://openalex.org/I4210126846","display_name":"Information Technology Laboratory","ror":"https://ror.org/0440c3437","country_code":"US","type":"government","lineage":["https://openalex.org/I1321296531","https://openalex.org/I1343035065","https://openalex.org/I4210126846"]},{"id":"https://openalex.org/I87303767","display_name":"U.S. Army Engineer Research and Development Center","ror":"https://ror.org/027mhn368","country_code":"US","type":"facility","lineage":["https://openalex.org/I1304082316","https://openalex.org/I1306490931","https://openalex.org/I1330347796","https://openalex.org/I87303767"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Rajeev Agrawal","raw_affiliation_strings":["Information Technology Laboratory, U.S. Army Engineer Research and Development Center, Vicksburg, MS, United States"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Information Technology Laboratory, U.S. Army Engineer Research and Development Center, Vicksburg, MS, United States","institution_ids":["https://openalex.org/I4210088792","https://openalex.org/I4210126846","https://openalex.org/I87303767"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"8","issue":null,"first_page":"3464","last_page":"3469"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13282","display_name":"Automated Road and Building Extraction","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean Engineering"},"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/T13282","display_name":"Automated Road and Building Extraction","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean Engineering"},"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9954000115394592,"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/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9939000010490417,"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/dirt","display_name":"Dirt","score":0.7715440988540649},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7083093523979187},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6901876330375671},{"id":"https://openalex.org/keywords/variety","display_name":"Variety (cybernetics)","score":0.6069273948669434},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5977417826652527},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.595848798751831},{"id":"https://openalex.org/keywords/ground-truth","display_name":"Ground truth","score":0.5082111358642578},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.47817403078079224},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.4586593508720398},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.45177099108695984},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.4449616074562073},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.4204683005809784},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.412355899810791},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.2126583755016327},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.19572019577026367},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.18585988879203796},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1132250428199768}],"concepts":[{"id":"https://openalex.org/C2778582501","wikidata":"https://www.wikidata.org/wiki/Q555882","display_name":"Dirt","level":2,"score":0.7715440988540649},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7083093523979187},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6901876330375671},{"id":"https://openalex.org/C136197465","wikidata":"https://www.wikidata.org/wiki/Q1729295","display_name":"Variety (cybernetics)","level":2,"score":0.6069273948669434},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5977417826652527},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.595848798751831},{"id":"https://openalex.org/C146849305","wikidata":"https://www.wikidata.org/wiki/Q370766","display_name":"Ground truth","level":2,"score":0.5082111358642578},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.47817403078079224},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4586593508720398},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.45177099108695984},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.4449616074562073},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.4204683005809784},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.412355899810791},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.2126583755016327},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.19572019577026367},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.18585988879203796},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1132250428199768},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bigdata.2018.8622284","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata.2018.8622284","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE International Conference on Big Data (Big Data)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.8399999737739563,"id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320309423","display_name":"Jackson State University","ror":"https://ror.org/01ecnnp60"},{"id":"https://openalex.org/F4320338258","display_name":"Engineer Research and Development Center","ror":"https://ror.org/027mhn368"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":41,"referenced_works":["https://openalex.org/W1480583224","https://openalex.org/W1511279056","https://openalex.org/W1536680647","https://openalex.org/W1570613334","https://openalex.org/W1861492603","https://openalex.org/W1903029394","https://openalex.org/W1903127635","https://openalex.org/W1983152292","https://openalex.org/W1998808035","https://openalex.org/W2031647436","https://openalex.org/W2036785686","https://openalex.org/W2037187106","https://openalex.org/W2095210813","https://openalex.org/W2098180043","https://openalex.org/W2130815581","https://openalex.org/W2146902889","https://openalex.org/W2163605009","https://openalex.org/W2279310754","https://openalex.org/W2341130385","https://openalex.org/W2559803985","https://openalex.org/W2613718673","https://openalex.org/W2769210209","https://openalex.org/W2796409016","https://openalex.org/W2800739703","https://openalex.org/W2922355292","https://openalex.org/W2953106684","https://openalex.org/W2962736495","https://openalex.org/W2963150697","https://openalex.org/W2963556638","https://openalex.org/W2964253222","https://openalex.org/W4293846201","https://openalex.org/W6620707391","https://openalex.org/W6630640248","https://openalex.org/W6639102338","https://openalex.org/W6659849045","https://openalex.org/W6674035541","https://openalex.org/W6679584661","https://openalex.org/W6684191040","https://openalex.org/W6694732770","https://openalex.org/W6739868092","https://openalex.org/W6746043372"],"related_works":["https://openalex.org/W2057213227","https://openalex.org/W2483334712","https://openalex.org/W195039303","https://openalex.org/W2921959338","https://openalex.org/W2352212546","https://openalex.org/W2157479968","https://openalex.org/W2036897369","https://openalex.org/W2382531111","https://openalex.org/W2381195684","https://openalex.org/W2793202985"],"abstract_inverted_index":{"Road":[0],"detection":[1,17],"is":[2,18],"a":[3,12,42,45,55,63,68,81],"difficult":[4],"task":[5],"because":[6],"roads":[7,29,61,90,100],"are":[8,86],"complex":[9,28,38,89],"objects":[10],"lacking":[11],"cohesive":[13],"shape;":[14],"as":[15,33,41],"such,":[16],"typically":[19],"limited":[20],"to":[21,59,80],"satellite":[22],"images":[23,74],"of":[24,54,65,70,105],"urban":[25],"environments.":[26],"Detecting":[27],"beyond":[30],"asphalt,":[31],"such":[32,40],"dirt":[34],"or":[35],"gravel,":[36],"in":[37,67],"environments,":[39],"desert,":[43],"poses":[44],"more":[46,95],"significant":[47],"challenge.":[48],"This":[49],"report":[50],"describes":[51],"the":[52,78,92,106],"implementation":[53],"convolutional":[56],"neural":[57],"network":[58],"segmentize":[60],"across":[62],"variety":[64,69],"types":[66],"environments":[71,98],"from":[72],"aerial":[73],"by":[75],"directly":[76],"comparing":[77],"image":[79],"corresponding":[82],"ground-truth.":[83],"Current":[84],"results":[85],"favorable":[87],"for":[88,97],"but":[91],"detector":[93],"needs":[94],"work":[96],"where":[99],"may":[101],"take":[102],"up":[103],"most":[104],"image.":[107]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}
