{"id":"https://openalex.org/W2910279167","doi":"https://doi.org/10.1145/3291801.3291839","title":"Cloud Segmentation of Remote Sensing Images on Landsat-8 by Deep Learning","display_name":"Cloud Segmentation of Remote Sensing Images on Landsat-8 by Deep Learning","publication_year":2018,"publication_date":"2018-10-27","ids":{"openalex":"https://openalex.org/W2910279167","doi":"https://doi.org/10.1145/3291801.3291839","mag":"2910279167"},"language":"en","primary_location":{"id":"doi:10.1145/3291801.3291839","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3291801.3291839","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2nd International Conference on Big Data Research","raw_type":"proceedings-article"},"type":"article","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/A5048614206","display_name":"Xiaoshuang Zeng","orcid":null},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xiaoshuang Zeng","raw_affiliation_strings":["College of Electronic Science, National University of Defense Technology, Changsha, China"],"affiliations":[{"raw_affiliation_string":"College of Electronic Science, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031465396","display_name":"Jungang Yang","orcid":"https://orcid.org/0000-0002-3127-8705"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jungang Yang","raw_affiliation_strings":["College of Electronic Science, National University of Defense Technology, Changsha, China"],"affiliations":[{"raw_affiliation_string":"College of Electronic Science, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101864017","display_name":"Xinpu Deng","orcid":"https://orcid.org/0000-0002-7847-8675"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinpu Deng","raw_affiliation_strings":["College of Electronic Science, National University of Defense Technology, Changsha, China"],"affiliations":[{"raw_affiliation_string":"College of Electronic Science, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5048614206"],"corresponding_institution_ids":["https://openalex.org/I170215575"],"apc_list":null,"apc_paid":null,"fwci":0.1906,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.62045962,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"174","last_page":"177"},"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9970999956130981,"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":0.9969000220298767,"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/remote-sensing","display_name":"Remote sensing","score":0.7638250589370728},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.755886435508728},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7557961344718933},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.71303391456604},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6978233456611633},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6009281873703003},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5569595098495483},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5331760048866272},{"id":"https://openalex.org/keywords/remote-sensing-application","display_name":"Remote sensing application","score":0.46218976378440857},{"id":"https://openalex.org/keywords/satellite","display_name":"Satellite","score":0.4584405720233917},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.44627389311790466},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.11631560325622559},{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.057697683572769165}],"concepts":[{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.7638250589370728},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.755886435508728},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7557961344718933},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.71303391456604},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6978233456611633},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6009281873703003},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5569595098495483},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5331760048866272},{"id":"https://openalex.org/C183365957","wikidata":"https://www.wikidata.org/wiki/Q17140402","display_name":"Remote sensing application","level":3,"score":0.46218976378440857},{"id":"https://openalex.org/C19269812","wikidata":"https://www.wikidata.org/wiki/Q26540","display_name":"Satellite","level":2,"score":0.4584405720233917},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.44627389311790466},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.11631560325622559},{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.057697683572769165},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"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/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3291801.3291839","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3291801.3291839","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2nd International Conference on Big Data Research","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W1903029394","https://openalex.org/W1981121910","https://openalex.org/W2014096274","https://openalex.org/W2062583931","https://openalex.org/W2077095720","https://openalex.org/W2098554604","https://openalex.org/W2102605133","https://openalex.org/W2142530961","https://openalex.org/W2618530766"],"related_works":["https://openalex.org/W4244478748","https://openalex.org/W4223488648","https://openalex.org/W2134969820","https://openalex.org/W2251605416","https://openalex.org/W4389340727","https://openalex.org/W4205786897","https://openalex.org/W3150465815","https://openalex.org/W1997222214","https://openalex.org/W2802581102","https://openalex.org/W1522196789"],"abstract_inverted_index":{"Cloud":[0],"is":[1,36,75,87,121],"always":[2],"the":[3,12,19,41,70,85,90,94,99,102],"weak":[4],"and":[5,16,26,29,81,131,141],"even":[6],"uninformative":[7],"area":[8],"inevitably":[9],"existing":[10],"in":[11,33],"remote":[13,22,44,66,72],"sensing":[14,23,45,67,73],"images,":[15],"greatly":[17],"limits":[18],"development":[20],"of":[21,31,43,101,114],"application.":[24],"Accurate":[25],"automatic":[27],"detection":[28],"segmentation":[30,64,120],"clouds":[32],"satellite":[34,109],"scenes":[35],"a":[37,52],"key":[38],"problem":[39],"for":[40,62,118],"application":[42],"images.":[46,68],"In":[47],"this":[48],"paper,":[49],"we":[50,104],"propose":[51],"fully":[53],"convolutional":[54],"network":[55],"(FCN)":[56],"based":[57],"on":[58,107],"deep":[59],"learning":[60],"framework":[61],"cloud":[63,95,119,133],"from":[65],"First,":[69],"obtained":[71],"image":[74,86],"pre-processed":[76],"by":[77,143],"using":[78,144],"band":[79],"merging":[80],"size":[82],"cropping.":[83],"Second":[84],"input":[88],"into":[89],"FCN":[91],"to":[92],"achieve":[93],"segmentation.":[96],"To":[97],"demonstrate":[98,127],"effectiveness":[100],"method,":[103],"conduct":[105],"experiments":[106],"Landsat-8":[108],"dataset.":[110],"The":[111],"overall":[112],"accuracy":[113,140],"our":[115,145],"proposed":[116],"method":[117],"higher":[122,139],"than":[123],"88%.":[124],"Experimental":[125],"results":[126],"that":[128],"both":[129],"thin":[130],"thick":[132],"can":[134],"be":[135],"well":[136],"segmented":[137],"with":[138],"robustness":[142],"method.":[146]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
