{"id":"https://openalex.org/W4313477398","doi":"https://doi.org/10.1109/tgrs.2022.3233637","title":"Feature-Fusion Segmentation Network for Landslide Detection Using High-Resolution Remote Sensing Images and Digital Elevation Model Data","display_name":"Feature-Fusion Segmentation Network for Landslide Detection Using High-Resolution Remote Sensing Images and Digital Elevation Model Data","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4313477398","doi":"https://doi.org/10.1109/tgrs.2022.3233637"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2022.3233637","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2022.3233637","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"is_oa":false,"is_in_doaj":false,"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 Transactions on Geoscience and Remote Sensing","raw_type":"journal-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/A5100782679","display_name":"Xinran Liu","orcid":"https://orcid.org/0000-0002-8268-0286"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinran Liu","raw_affiliation_strings":["Key Lab of Universal Wireless Communication, MoE, School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Lab of Universal Wireless Communication, MoE, School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008656722","display_name":"Yuexing Peng","orcid":"https://orcid.org/0000-0002-6237-8995"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuexing Peng","raw_affiliation_strings":["Key Lab of Universal Wireless Communication, MoE, School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-6237-8995","affiliations":[{"raw_affiliation_string":"Key Lab of Universal Wireless Communication, MoE, School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039882720","display_name":"Zili Lu","orcid":"https://orcid.org/0000-0001-9381-4051"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zili Lu","raw_affiliation_strings":["Key Lab of Universal Wireless Communication, MoE, School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-9381-4051","affiliations":[{"raw_affiliation_string":"Key Lab of Universal Wireless Communication, MoE, School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100317994","display_name":"Wei Li","orcid":"https://orcid.org/0000-0001-7015-7335"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Li","raw_affiliation_strings":["School of Information and Electronics, Beijing Institute of Technology, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-7015-7335","affiliations":[{"raw_affiliation_string":"School of Information and Electronics, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007212758","display_name":"Junchuan Yu","orcid":"https://orcid.org/0000-0003-2987-0504"},"institutions":[{"id":"https://openalex.org/I4210092591","display_name":"China Centre for Resources Satellite Data and Application","ror":"https://ror.org/00ft0fw96","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210092591"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junchuan Yu","raw_affiliation_strings":["Department of Satellite Application Research, China Aero Geophysical Survey and Remote Sensing Center for Natural Resources, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Satellite Application Research, China Aero Geophysical Survey and Remote Sensing Center for Natural Resources, Beijing, China","institution_ids":["https://openalex.org/I4210092591"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026572747","display_name":"Daqing Ge","orcid":"https://orcid.org/0009-0005-2779-8854"},"institutions":[{"id":"https://openalex.org/I4210092591","display_name":"China Centre for Resources Satellite Data and Application","ror":"https://ror.org/00ft0fw96","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210092591"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Daqing Ge","raw_affiliation_strings":["Department of Satellite Application Research, China Aero Geophysical Survey and Remote Sensing Center for Natural Resources, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Satellite Application Research, China Aero Geophysical Survey and Remote Sensing Center for Natural Resources, Beijing, China","institution_ids":["https://openalex.org/I4210092591"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100389005","display_name":"Wei Xiang","orcid":"https://orcid.org/0000-0002-0608-065X"},"institutions":[{"id":"https://openalex.org/I196829312","display_name":"La Trobe University","ror":"https://ror.org/01rxfrp27","country_code":"AU","type":"education","lineage":["https://openalex.org/I196829312"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Wei Xiang","raw_affiliation_strings":["School of Computing, Engineering and Mathematical Sciences, La Trobe University, Melbourne, VIC, Australia"],"raw_orcid":"https://orcid.org/0000-0002-0608-065X","affiliations":[{"raw_affiliation_string":"School of Computing, Engineering and Mathematical Sciences, La Trobe University, Melbourne, VIC, Australia","institution_ids":["https://openalex.org/I196829312"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":7,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":22.353,"has_fulltext":false,"cited_by_count":56,"citation_normalized_percentile":{"value":0.99546635,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":"61","issue":null,"first_page":"1","last_page":"14"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10535","display_name":"Landslides and related hazards","score":0.9998000264167786,"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":0.9998000264167786,"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/T10930","display_name":"Flood Risk Assessment and Management","score":0.9872000217437744,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9753999710083008,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6531105041503906},{"id":"https://openalex.org/keywords/digital-elevation-model","display_name":"Digital elevation model","score":0.6505860686302185},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6441599726676941},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5807210206985474},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.549735963344574},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5210106372833252},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.49906229972839355},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.469387948513031},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.45877963304519653},{"id":"https://openalex.org/keywords/terrain","display_name":"Terrain","score":0.4574398994445801},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.44572484493255615},{"id":"https://openalex.org/keywords/landslide","display_name":"Landslide","score":0.44008925557136536},{"id":"https://openalex.org/keywords/bilinear-interpolation","display_name":"Bilinear interpolation","score":0.43981409072875977},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.28208592534065247},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.13479894399642944},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.11387908458709717}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6531105041503906},{"id":"https://openalex.org/C181843262","wikidata":"https://www.wikidata.org/wiki/Q640492","display_name":"Digital elevation model","level":2,"score":0.6505860686302185},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6441599726676941},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5807210206985474},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.549735963344574},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5210106372833252},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.49906229972839355},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.469387948513031},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.45877963304519653},{"id":"https://openalex.org/C161840515","wikidata":"https://www.wikidata.org/wiki/Q186131","display_name":"Terrain","level":2,"score":0.4574398994445801},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.44572484493255615},{"id":"https://openalex.org/C186295008","wikidata":"https://www.wikidata.org/wiki/Q167903","display_name":"Landslide","level":2,"score":0.44008925557136536},{"id":"https://openalex.org/C205203396","wikidata":"https://www.wikidata.org/wiki/Q612143","display_name":"Bilinear interpolation","level":2,"score":0.43981409072875977},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.28208592534065247},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.13479894399642944},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.11387908458709717},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C187320778","wikidata":"https://www.wikidata.org/wiki/Q1349130","display_name":"Geotechnical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tgrs.2022.3233637","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2022.3233637","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"is_oa":false,"is_in_doaj":false,"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 Transactions on Geoscience and Remote Sensing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6499999761581421,"display_name":"Climate action","id":"https://metadata.un.org/sdg/13"}],"awards":[{"id":"https://openalex.org/G4275209577","display_name":null,"funder_award_id":"2021YFC3000400","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"}],"funders":[{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":39,"referenced_works":["https://openalex.org/W178818838","https://openalex.org/W1901129140","https://openalex.org/W1984792953","https://openalex.org/W2005802434","https://openalex.org/W2081620141","https://openalex.org/W2111416525","https://openalex.org/W2142347478","https://openalex.org/W2194775991","https://openalex.org/W2195324661","https://openalex.org/W2412782625","https://openalex.org/W2530415363","https://openalex.org/W2587922254","https://openalex.org/W2751000232","https://openalex.org/W2753093605","https://openalex.org/W2753203118","https://openalex.org/W2787091153","https://openalex.org/W2811420403","https://openalex.org/W2930302290","https://openalex.org/W2946802127","https://openalex.org/W2947982909","https://openalex.org/W2962858109","https://openalex.org/W2963289561","https://openalex.org/W2963420686","https://openalex.org/W2967019526","https://openalex.org/W2972540077","https://openalex.org/W2981581709","https://openalex.org/W2992240579","https://openalex.org/W3001525167","https://openalex.org/W3003882269","https://openalex.org/W3007268491","https://openalex.org/W3011692993","https://openalex.org/W3043068087","https://openalex.org/W3045566724","https://openalex.org/W3161697506","https://openalex.org/W3163894833","https://openalex.org/W3173420347","https://openalex.org/W3195027214","https://openalex.org/W6620021501","https://openalex.org/W6780695396"],"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":{"Landslide":[0],"is":[1,16,93,134,264],"one":[2],"of":[3,36,45,117,200,251],"the":[4,34,139,148,181,191,197,213,226,236,249,262],"most":[5],"dangerous":[6],"and":[7,39,66,99,105,143,167,170,179,208,222,231,235,243,261,273],"frequently":[8],"occurred":[9],"natural":[10],"disasters.":[11],"The":[12],"semantic":[13,89,145],"segmentation":[14,90,198,263],"technique":[15],"efficient":[17],"for":[18,60,266],"wide":[19],"area":[20],"landslide":[21],"identification":[22],"from":[23,73,79,102,108,127,220,229,241],"high-resolution":[24],"remote":[25],"sensing":[26],"images":[27],"(HRSIs).":[28],"However,":[29],"considerable":[30],"challenges":[31],"exist":[32],"because":[33],"effects":[35],"sediments,":[37],"vegetation,":[38],"human":[40],"activities":[41],"over":[42,216],"long":[43],"periods":[44],"time":[46],"make":[47],"visually":[48,201,252,267],"blurred":[49,202],"old":[50,203],"landslides":[51,126,269],"very":[52],"challenging":[53],"to":[54,137,158,176,188,206,224,233,245,275],"detect":[55],"based":[56,88],"upon":[57],"HRSIs.":[58],"Moreover,":[59],"terrain":[61,106],"features":[62,101,107,118],"like":[63],"slopes,":[64],"aspect":[65],"altitude":[67],"variations":[68],"cannot":[69],"be":[70,78],"sufficiently":[71],"extracted":[72],"2-D":[74,103],"HRSIs":[75,104],"but":[76],"can":[77,96,194,211],"digital":[80],"elevation":[81],"model":[82],"(DEM)":[83],"data.":[84],"Then,":[85],"a":[86,120,129],"feature-fusion":[87],"network":[91,182],"(FFS-Net)":[92],"proposed,":[94],"which":[95],"extract":[97],"texture":[98,274],"shape":[100],"DEM":[109],"data":[110],"before":[111],"fusing":[112],"these":[113],"two":[114],"distinct":[115,253,268],"types":[116],"in":[119],"higher":[121],"feature":[122],"layer.":[123],"To":[124],"segment":[125],"background,":[128],"multiscale":[130],"channel":[131],"attention":[132],"module":[133],"purposely":[135],"designed":[136],"balance":[138],"low-level":[140],"fine":[141],"information":[142],"high-level":[144],"features.":[146],"In":[147],"decoder,":[149],"transposed":[150],"convolution":[151],"layer":[152],"replaces":[153],"original":[154],"mathematical":[155],"bilinear":[156],"interpolation":[157],"better":[159],"restore":[160],"image":[161],"resolution":[162],"via":[163],"learnable":[164],"convolutional":[165],"kernels,":[166],"both":[168],"dropout":[169],"batch":[171],"normalization":[172],"(BN)":[173],"are":[174,186],"introduced":[175],"prevent":[177],"over-fitting":[178],"accelerate":[180],"convergence.":[183],"Experimental":[184],"results":[185],"presented":[187],"validate":[189],"that":[190],"proposed":[192],"FFS-Net":[193,210],"greatly":[195],"improve":[196,212],"accuracy":[199,238],"landslides.":[204],"Compared":[205],"U-Net":[207],"DeepLabV3+,":[209],"mean":[214],"intersection":[215],"union":[217],"(mIoU)":[218],"metric":[219,228,240],"0.508":[221],"0.624":[223],"0.67,":[225],"F1":[227],"0.254":[230],"0.516":[232],"0.596,":[234],"pixel":[237],"(PA)":[239],"0.874":[242],"0.906":[244],"0.92,":[246],"respectively.":[247],"For":[248],"detection":[250,259],"landslides,":[254],"FFS-NET":[255],"also":[256],"offers":[257],"comparable":[258],"performance,":[260],"improved":[265],"with":[270],"similar":[271],"color":[272],"surroundings.":[276]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":20},{"year":2024,"cited_by_count":26},{"year":2023,"cited_by_count":6}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
