{"id":"https://openalex.org/W4389352519","doi":"https://doi.org/10.1109/jstars.2023.3339295","title":"Landslide Inventory Mapping Based on Independent Component Analysis and UNet3+: A Case of Jiuzhaigou, China","display_name":"Landslide Inventory Mapping Based on Independent Component Analysis and UNet3+: A Case of Jiuzhaigou, China","publication_year":2023,"publication_date":"2023-12-05","ids":{"openalex":"https://openalex.org/W4389352519","doi":"https://doi.org/10.1109/jstars.2023.3339295"},"language":"en","primary_location":{"id":"doi:10.1109/jstars.2023.3339295","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2023.3339295","pdf_url":"https://ieeexplore.ieee.org/ielx7/4609443/4609444/10342839.pdf","source":{"id":"https://openalex.org/S117727964","display_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","issn_l":"1939-1404","issn":["1939-1404","2151-1535"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/4609443/4609444/10342839.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101709840","display_name":"Xuerong Chen","orcid":"https://orcid.org/0000-0003-3792-8243"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xuerong Chen","raw_affiliation_strings":["School of Geological Engineering and Geomatics, Chang'an University, Xi'an, China"],"raw_orcid":"https://orcid.org/0000-0003-3792-8243","affiliations":[{"raw_affiliation_string":"School of Geological Engineering and Geomatics, Chang'an University, Xi'an, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067826216","display_name":"Chaoying Zhao","orcid":"https://orcid.org/0000-0002-5730-9602"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chaoying Zhao","raw_affiliation_strings":["School of Geological Engineering and Geomatics, Chang'an University, Xi'an, China"],"raw_orcid":"https://orcid.org/0000-0002-5730-9602","affiliations":[{"raw_affiliation_string":"School of Geological Engineering and Geomatics, Chang'an University, Xi'an, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010436195","display_name":"Zhong Lu","orcid":"https://orcid.org/0000-0001-9181-1818"},"institutions":[{"id":"https://openalex.org/I178169726","display_name":"Southern Methodist University","ror":"https://ror.org/042tdr378","country_code":"US","type":"education","lineage":["https://openalex.org/I178169726"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zhong Lu","raw_affiliation_strings":["Roy M. Huffington Department of Earth Sciences, Southern Methodist University, Dallas, TX, USA"],"raw_orcid":"https://orcid.org/0000-0001-9181-1818","affiliations":[{"raw_affiliation_string":"Roy M. Huffington Department of Earth Sciences, Southern Methodist University, Dallas, TX, USA","institution_ids":["https://openalex.org/I178169726"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5006463248","display_name":"Jiangbo Xi","orcid":"https://orcid.org/0000-0003-2258-0993"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jiangbo Xi","raw_affiliation_strings":["School of Geological Engineering and Geomatics, Chang'an University, Xi'an, China"],"raw_orcid":"https://orcid.org/0000-0003-2258-0993","affiliations":[{"raw_affiliation_string":"School of Geological Engineering and Geomatics, Chang'an University, Xi'an, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1250,"currency":"USD","value_usd":1250},"apc_paid":{"value":1250,"currency":"USD","value_usd":1250},"fwci":6.3472,"has_fulltext":true,"cited_by_count":17,"citation_normalized_percentile":{"value":0.96088024,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"17","issue":null,"first_page":"2213","last_page":"2223"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10535","display_name":"Landslides and related hazards","score":0.9983000159263611,"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":0.9983000159263611,"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/T12232","display_name":"Yersinia bacterium, plague, ectoparasites research","score":0.9894999861717224,"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"}},{"id":"https://openalex.org/T13890","display_name":"Remote Sensing and Land Use","score":0.9807999730110168,"subfield":{"id":"https://openalex.org/subfields/1902","display_name":"Atmospheric Science"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/landslide","display_name":"Landslide","score":0.819992184638977},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6844174861907959},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.6727951765060425},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6007182598114014},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5747660994529724},{"id":"https://openalex.org/keywords/normalized-difference-vegetation-index","display_name":"Normalized Difference Vegetation Index","score":0.5718132853507996},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5439385175704956},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.5190642476081848},{"id":"https://openalex.org/keywords/principal-component-analysis","display_name":"Principal component analysis","score":0.4817959666252136},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.4477696716785431},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.42990660667419434},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4235367178916931},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.2241278886795044},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.18431055545806885},{"id":"https://openalex.org/keywords/seismology","display_name":"Seismology","score":0.16374176740646362},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.1237439215183258}],"concepts":[{"id":"https://openalex.org/C186295008","wikidata":"https://www.wikidata.org/wiki/Q167903","display_name":"Landslide","level":2,"score":0.819992184638977},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6844174861907959},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.6727951765060425},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6007182598114014},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5747660994529724},{"id":"https://openalex.org/C1549246","wikidata":"https://www.wikidata.org/wiki/Q718775","display_name":"Normalized Difference Vegetation Index","level":3,"score":0.5718132853507996},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5439385175704956},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.5190642476081848},{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.4817959666252136},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.4477696716785431},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.42990660667419434},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4235367178916931},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.2241278886795044},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.18431055545806885},{"id":"https://openalex.org/C165205528","wikidata":"https://www.wikidata.org/wiki/Q83371","display_name":"Seismology","level":1,"score":0.16374176740646362},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.1237439215183258},{"id":"https://openalex.org/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","level":1,"score":0.0},{"id":"https://openalex.org/C132651083","wikidata":"https://www.wikidata.org/wiki/Q7942","display_name":"Climate change","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/jstars.2023.3339295","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2023.3339295","pdf_url":"https://ieeexplore.ieee.org/ielx7/4609443/4609444/10342839.pdf","source":{"id":"https://openalex.org/S117727964","display_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","issn_l":"1939-1404","issn":["1939-1404","2151-1535"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:ac03a9fadb0243f1814c3902275d95c9","is_oa":true,"landing_page_url":"https://doaj.org/article/ac03a9fadb0243f1814c3902275d95c9","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","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-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 2213-2223 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/jstars.2023.3339295","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2023.3339295","pdf_url":"https://ieeexplore.ieee.org/ielx7/4609443/4609444/10342839.pdf","source":{"id":"https://openalex.org/S117727964","display_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","issn_l":"1939-1404","issn":["1939-1404","2151-1535"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Climate action","id":"https://metadata.un.org/sdg/13","score":0.7599999904632568}],"awards":[{"id":"https://openalex.org/G4205838605","display_name":null,"funder_award_id":"41929001","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320318240","display_name":"European Space Agency","ror":"https://ror.org/03wd9za21"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321525","display_name":"Chang'an University","ror":"https://ror.org/05mxya461"},{"id":"https://openalex.org/F4320332183","display_name":"U.S. Geological Survey","ror":"https://ror.org/035a68863"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4389352519.pdf","grobid_xml":"https://content.openalex.org/works/W4389352519.grobid-xml"},"referenced_works_count":43,"referenced_works":["https://openalex.org/W590241356","https://openalex.org/W1967545681","https://openalex.org/W1968353677","https://openalex.org/W1996226159","https://openalex.org/W2012089683","https://openalex.org/W2058082754","https://openalex.org/W2083500801","https://openalex.org/W2086726221","https://openalex.org/W2161599811","https://openalex.org/W2412588858","https://openalex.org/W2530415363","https://openalex.org/W2556865753","https://openalex.org/W2599500356","https://openalex.org/W2765929751","https://openalex.org/W2790230321","https://openalex.org/W2894082056","https://openalex.org/W2903546516","https://openalex.org/W2911964244","https://openalex.org/W2912361013","https://openalex.org/W2912375518","https://openalex.org/W2934708281","https://openalex.org/W2963566126","https://openalex.org/W3003882269","https://openalex.org/W3008439211","https://openalex.org/W3010846872","https://openalex.org/W3015788359","https://openalex.org/W3037891846","https://openalex.org/W3047392236","https://openalex.org/W3081064176","https://openalex.org/W3091852895","https://openalex.org/W3093027459","https://openalex.org/W3111915298","https://openalex.org/W3112278501","https://openalex.org/W3120574494","https://openalex.org/W3130314725","https://openalex.org/W3154791864","https://openalex.org/W3175815213","https://openalex.org/W3194808133","https://openalex.org/W4220673566","https://openalex.org/W4220957530","https://openalex.org/W4228999611","https://openalex.org/W4229372223","https://openalex.org/W4322753249"],"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/W70668483","https://openalex.org/W2885606342","https://openalex.org/W3106883776","https://openalex.org/W1585144779"],"abstract_inverted_index":{"Landslide":[0],"inventory":[1,89],"mapping":[2,90],"(LIM)":[3],"is":[4,55,137],"an":[5,183],"important":[6],"prerequisite":[7],"for":[8,27,87,139],"disaster":[9],"emergency":[10],"rescue":[11],"and":[12,40,102,110,124,128,142,151,165,194,199,227],"landslide":[13,61,88,178,220],"sensitivity":[14],"analysis.":[15,134],"It":[16],"has":[17],"been":[18],"proven":[19],"that":[20,188,210],"convolutional":[21,73],"neural":[22,74],"networks":[23],"have":[24],"better":[25],"performance":[26,190],"LIM":[28,161],"than":[29,202],"traditional":[30],"machine":[31],"learning":[32],"methods":[33,49],"such":[34],"as":[35,182],"support":[36],"vector":[37,133],"machines":[38],"(SVM),":[39],"random":[41],"forests":[42],"(RF).":[43],"However,":[44],"the":[45,59,64,147,152,171,176,189,205,211,217],"accuracy":[46],"of":[47,67,179,191,204,219,224],"existing":[48],"based":[50,91],"only":[51],"on":[52,92],"optical":[53,93],"images":[54,121,154],"low":[56],"due":[57],"to":[58,159],"complex":[60,228],"background.":[62,229],"Moreover,":[63],"multi-scale":[65,163,225],"features":[66,164,226],"landslides":[68],"are":[69,116,155,196],"not":[70],"considered":[71],"in":[72,222],"network":[75],"methods.":[76],"Therefore,":[77],"this":[78],"study":[79],"proposes":[80],"Multi-featured":[81],"independent":[82,98],"component":[83,99],"analysis":[84,100],"UNet3+":[85,158],"(MICUNet3+)":[86],"images,":[94,207],"which":[95],"combines":[96],"co-feature,":[97],"(ICA),":[101],"UNet3+.":[103],"Firstly,":[104],"normalized":[105],"difference":[106],"vegetation":[107],"index":[108],"(NDVI)":[109],"gray":[111],"level":[112],"co-occurrence":[113],"matrix":[114],"(GLCM)":[115],"extracted":[117],"from":[118],"remote":[119],"sensing":[120],"acquired":[122],"pre-":[123],"post-":[125],"earthquake":[126,181],"event":[127],"then":[129],"processed":[130],"by":[131,162,174],"change":[132],"Then,":[135],"ICA":[136],"implemented":[138],"NDVI,":[140],"GLCM,":[141],"three":[143,148],"elevation":[144],"factors.":[145],"Lastly,":[146],"principal":[149],"components":[150],"post-event":[153],"fed":[156],"into":[157],"generate":[160],"deep":[166],"supervision.":[167],"Finally,":[168],"we":[169],"validate":[170],"proposed":[172,212],"method":[173,213],"using":[175],"co-seismic":[177],"Jiuzhaigou":[180],"experiment.":[184],"The":[185],"results":[186],"show":[187],"recall,":[192],"F1-score":[193],"mIoU":[195],"0.13,":[197],"0.22":[198],"0.11":[200],"higher":[201],"those":[203],"post-event-only":[206],"respectively,":[208],"indicating":[209],"can":[214],"effectively":[215],"solve":[216],"problems":[218],"identification":[221],"terms":[223]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":11},{"year":2024,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2023-12-06T00:00:00"}