{"id":"https://openalex.org/W3010846872","doi":"https://doi.org/10.3390/rs12050894","title":"Research on Post-Earthquake Landslide Extraction Algorithm Based on Improved U-Net Model","display_name":"Research on Post-Earthquake Landslide Extraction Algorithm Based on Improved U-Net Model","publication_year":2020,"publication_date":"2020-03-10","ids":{"openalex":"https://openalex.org/W3010846872","doi":"https://doi.org/10.3390/rs12050894","mag":"3010846872"},"language":"en","primary_location":{"id":"doi:10.3390/rs12050894","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs12050894","pdf_url":"https://www.mdpi.com/2072-4292/12/5/894/pdf?version=1584009489","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2072-4292/12/5/894/pdf?version=1584009489","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5023925857","display_name":"Peng Liu","orcid":"https://orcid.org/0000-0003-3292-8551"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210137199","display_name":"Aerospace Information Research Institute","ror":"https://ror.org/0419fj215","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Peng Liu","raw_affiliation_strings":["Key Laboratory of Digital Earth, Aerospace Information Research Institute, Chinese Academy of Sciences (CAS), Beijing 100094, China","University of Chinese Academy of Sciences, Beijing 100049, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Digital Earth, Aerospace Information Research Institute, Chinese Academy of Sciences (CAS), Beijing 100094, China","institution_ids":["https://openalex.org/I4210137199","https://openalex.org/I19820366"]},{"raw_affiliation_string":"University of Chinese Academy of Sciences, Beijing 100049, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079252888","display_name":"Yongming Wei","orcid":"https://orcid.org/0000-0003-0496-3827"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210137199","display_name":"Aerospace Information Research Institute","ror":"https://ror.org/0419fj215","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yongming Wei","raw_affiliation_strings":["National Engineering Center for Geoinformatics, Aerospace Information Research Institute, Chinese Academy of Sciences (CAS), Beijing 100101, China"],"affiliations":[{"raw_affiliation_string":"National Engineering Center for Geoinformatics, Aerospace Information Research Institute, Chinese Academy of Sciences (CAS), Beijing 100101, China","institution_ids":["https://openalex.org/I4210137199","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072210073","display_name":"Qinjun Wang","orcid":"https://orcid.org/0000-0001-6084-1889"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210137199","display_name":"Aerospace Information Research Institute","ror":"https://ror.org/0419fj215","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Qinjun Wang","raw_affiliation_strings":["Key Laboratory of Digital Earth, Aerospace Information Research Institute, Chinese Academy of Sciences (CAS), Beijing 100094, China","Key Laboratory of the Earth Observation of Hainan Province, Aerospace Information Research Institute, CAS, Hainan Research Institute, Sanya 572029, China","University of Chinese Academy of Sciences, Beijing 100049, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Digital Earth, Aerospace Information Research Institute, Chinese Academy of Sciences (CAS), Beijing 100094, China","institution_ids":["https://openalex.org/I4210137199","https://openalex.org/I19820366"]},{"raw_affiliation_string":"Key Laboratory of the Earth Observation of Hainan Province, Aerospace Information Research Institute, CAS, Hainan Research Institute, Sanya 572029, China","institution_ids":["https://openalex.org/I4210137199"]},{"raw_affiliation_string":"University of Chinese Academy of Sciences, Beijing 100049, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113940754","display_name":"Yu Chen","orcid":"https://orcid.org/0000-0002-9095-243X"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210137199","display_name":"Aerospace Information Research Institute","ror":"https://ror.org/0419fj215","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yu Chen","raw_affiliation_strings":["Key Laboratory of Digital Earth, Aerospace Information Research Institute, Chinese Academy of Sciences (CAS), Beijing 100094, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Digital Earth, Aerospace Information Research Institute, Chinese Academy of Sciences (CAS), Beijing 100094, China","institution_ids":["https://openalex.org/I4210137199","https://openalex.org/I19820366"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5115593342","display_name":"Jingjing Xie","orcid":"https://orcid.org/0000-0002-6844-3743"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210137199","display_name":"Aerospace Information Research Institute","ror":"https://ror.org/0419fj215","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jingjing Xie","raw_affiliation_strings":["Key Laboratory of Digital Earth, Aerospace Information Research Institute, Chinese Academy of Sciences (CAS), Beijing 100094, China","University of Chinese Academy of Sciences, Beijing 100049, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Digital Earth, Aerospace Information Research Institute, Chinese Academy of Sciences (CAS), Beijing 100094, China","institution_ids":["https://openalex.org/I4210137199","https://openalex.org/I19820366"]},{"raw_affiliation_string":"University of Chinese Academy of Sciences, Beijing 100049, China","institution_ids":["https://openalex.org/I4210165038"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5072210073"],"corresponding_institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210137199","https://openalex.org/I4210165038"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":32.0553,"has_fulltext":false,"cited_by_count":135,"citation_normalized_percentile":{"value":0.99670377,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":"12","issue":"5","first_page":"894","last_page":"894"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10535","display_name":"Landslides and related hazards","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2308","display_name":"Management, Monitoring, Policy and Law"},"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/T10535","display_name":"Landslides and related hazards","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2308","display_name":"Management, Monitoring, Policy and Law"},"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9627000093460083,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T12232","display_name":"Yersinia bacterium, plague, ectoparasites research","score":0.9316999912261963,"subfield":{"id":"https://openalex.org/subfields/1311","display_name":"Genetics"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/landslide","display_name":"Landslide","score":0.8643935322761536},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5556215047836304},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.48945844173431396},{"id":"https://openalex.org/keywords/extraction","display_name":"Extraction (chemistry)","score":0.44802790880203247},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.4348564147949219},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4274865984916687},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.3653162717819214},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3389202058315277},{"id":"https://openalex.org/keywords/seismology","display_name":"Seismology","score":0.22801190614700317},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.07491198182106018}],"concepts":[{"id":"https://openalex.org/C186295008","wikidata":"https://www.wikidata.org/wiki/Q167903","display_name":"Landslide","level":2,"score":0.8643935322761536},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5556215047836304},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.48945844173431396},{"id":"https://openalex.org/C4725764","wikidata":"https://www.wikidata.org/wiki/Q844704","display_name":"Extraction (chemistry)","level":2,"score":0.44802790880203247},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.4348564147949219},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4274865984916687},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.3653162717819214},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3389202058315277},{"id":"https://openalex.org/C165205528","wikidata":"https://www.wikidata.org/wiki/Q83371","display_name":"Seismology","level":1,"score":0.22801190614700317},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.07491198182106018},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/rs12050894","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs12050894","pdf_url":"https://www.mdpi.com/2072-4292/12/5/894/pdf?version=1584009489","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:ad339316a9b340cea3a5447cdb796137","is_oa":true,"landing_page_url":"https://doaj.org/article/ad339316a9b340cea3a5447cdb796137","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":"Remote Sensing, Vol 12, Iss 5, p 894 (2020)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2072-4292/12/5/894/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/rs12050894","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"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":"Remote Sensing; Volume 12; Issue 5; Pages: 894","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/rs12050894","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs12050894","pdf_url":"https://www.mdpi.com/2072-4292/12/5/894/pdf?version=1584009489","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Climate action","score":0.5899999737739563,"id":"https://metadata.un.org/sdg/13"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3010846872.pdf","grobid_xml":"https://content.openalex.org/works/W3010846872.grobid-xml"},"referenced_works_count":22,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W1926561698","https://openalex.org/W1993905934","https://openalex.org/W2021866405","https://openalex.org/W2051446435","https://openalex.org/W2090091295","https://openalex.org/W2194775991","https://openalex.org/W2359116675","https://openalex.org/W2367887380","https://openalex.org/W2375899226","https://openalex.org/W2388098628","https://openalex.org/W2795224626","https://openalex.org/W2909494862","https://openalex.org/W2912361013","https://openalex.org/W2967019526","https://openalex.org/W2971158620","https://openalex.org/W6673250033","https://openalex.org/W6708224903","https://openalex.org/W6758749190","https://openalex.org/W6767471494","https://openalex.org/W6981146839","https://openalex.org/W6986241954"],"related_works":["https://openalex.org/W2389676928","https://openalex.org/W3169474304","https://openalex.org/W2369104181","https://openalex.org/W3201652628","https://openalex.org/W4212972401","https://openalex.org/W2389287188","https://openalex.org/W3081499580","https://openalex.org/W2615020820","https://openalex.org/W3106883776","https://openalex.org/W2950100253"],"abstract_inverted_index":{"Seismic":[0],"landslides":[1],"are":[2,13,144],"the":[3,32,46,63,78,83,110,123,127,130,147,153,171,178,181,188,191,199,202,204,219,222,232,240,248],"most":[4,44],"common":[5],"and":[6,17,37,62,81,139,146,173,245],"highly":[7],"destructive":[8],"earthquake-triggered":[9],"geological":[10],"hazards.":[11],"They":[12],"large":[14],"in":[15,20,56,72,209],"scale":[16],"occur":[18],"simultaneously":[19],"many":[21],"places.":[22],"Therefore,":[23],"obtaining":[24],"landslide":[25,86,93,105,193],"information":[26,68,106,143],"quickly":[27],"after":[28],"an":[29,91],"earthquake":[30,70],"is":[31,107,156,163,207,225,228,237,243],"key":[33],"to":[34,65,76,176],"disaster":[35],"mitigation":[36],"relief.":[38],"The":[39,100,116,159,215],"survey":[40],"results":[41,216],"show":[42,217],"that":[43,180,218,239],"of":[45,60,85,103,113,119,129,149,152,190,201,221,251],"landslide-information":[47],"extraction":[48,102,112,250],"methods":[49],"involve":[50],"too":[51],"much":[52],"manual":[53],"participation,":[54],"resulting":[55],"a":[57],"low":[58],"degree":[59],"automation":[61],"inability":[64],"provide":[66],"effective":[67,244],"for":[69,194,247],"rescue":[71],"time.":[73],"In":[74],"order":[75],"solve":[77,177],"abovementioned":[79],"problems":[80],"improve":[82],"efficiency":[84],"identification,":[87],"this":[88,120],"paper":[89,121],"proposes":[90],"automatic":[92,111,249],"identification":[94],"method":[95,206,224,242],"named":[96],"improved":[97],"U-Net":[98,160,183,234],"model.":[99,235],"intelligent":[101],"post-earthquake":[104,252],"realized":[108],"through":[109],"hierarchical":[114],"features.":[115],"main":[117],"innovations":[118],"include":[122],"following:":[124],"(1)":[125],"On":[126],"basis":[128],"three":[131,134],"RGB":[132],"bands,":[133,136],"new":[135,205,223,241],"DSM,":[137],"slope,":[138],"aspect,":[140],"with":[141],"spatial":[142],"added,":[145],"number":[148],"feature":[150],"parameters":[151],"training":[154],"samples":[155],"increased.":[157],"(2)":[158],"model":[161,184],"structure":[162],"rebuilt":[164],"by":[165],"adding":[166],"residual":[167],"learning":[168],"units":[169],"during":[170],"up-sampling":[172],"down-sampling":[174],"processes,":[175],"problem":[179],"traditional":[182,233],"cannot":[185],"fully":[186],"extract":[187],"characteristics":[189],"six-channel":[192],"its":[195],"shallow":[196],"structure.":[197],"At":[198],"end":[200],"paper,":[203],"used":[208],"Jiuzhaigou":[210],"County,":[211],"Sichuan":[212],"Province,":[213],"China.":[214],"accuracy":[220],"91.3%,":[226],"which":[227],"13.8%":[229],"higher":[230],"than":[231],"It":[236],"proved":[238],"feasible":[246],"landslides.":[253]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":28},{"year":2024,"cited_by_count":23},{"year":2023,"cited_by_count":27},{"year":2022,"cited_by_count":33},{"year":2021,"cited_by_count":16},{"year":2020,"cited_by_count":4}],"updated_date":"2026-03-31T07:56:22.981413","created_date":"2020-03-23T00:00:00"}