{"id":"https://openalex.org/W4390752937","doi":"https://doi.org/10.1109/jstars.2024.3351873","title":"BisDeNet: A New Lightweight Deep Learning-Based Framework for Efficient Landslide Detection","display_name":"BisDeNet: A New Lightweight Deep Learning-Based Framework for Efficient Landslide Detection","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4390752937","doi":"https://doi.org/10.1109/jstars.2024.3351873"},"language":"en","primary_location":{"id":"doi:10.1109/jstars.2024.3351873","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2024.3351873","pdf_url":"https://ieeexplore.ieee.org/ielx7/4609443/4609444/10384668.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/ielx7/4609443/4609444/10384668.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5063406632","display_name":"Tao Chen","orcid":"https://orcid.org/0000-0001-6965-1256"},"institutions":[{"id":"https://openalex.org/I1327237609","display_name":"Ministry of Education of the People's Republic of China","ror":"https://ror.org/01mv9t934","country_code":"CN","type":"government","lineage":["https://openalex.org/I1327237609","https://openalex.org/I4210127390"]},{"id":"https://openalex.org/I211433327","display_name":"Ministry of Natural Resources","ror":"https://ror.org/02kxqx159","country_code":"CN","type":"government","lineage":["https://openalex.org/I211433327","https://openalex.org/I4210127390"]},{"id":"https://openalex.org/I3124059619","display_name":"China University of Geosciences","ror":"https://ror.org/04gcegc37","country_code":"CN","type":"education","lineage":["https://openalex.org/I3124059619"]},{"id":"https://openalex.org/I31595395","display_name":"Chengdu University of Technology","ror":"https://ror.org/05pejbw21","country_code":"CN","type":"education","lineage":["https://openalex.org/I31595395"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Tao Chen","raw_affiliation_strings":["School of Geophysics and Geomatics, China University of Geosciences, Wuhan, China","State Key Laboratory of Geohazard Prevention and Geoenvironment Protection, Chengdu University of Technology, Chengdu, China","Key Laboratory of National Geographic Census and Monitoring, Ministry of Natural Resources, Wuhan, China","Badong National Observation and Research Station of Geohazards, China University of Geosciences, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"School of Geophysics and Geomatics, China University of Geosciences, Wuhan, China","institution_ids":["https://openalex.org/I3124059619"]},{"raw_affiliation_string":"State Key Laboratory of Geohazard Prevention and Geoenvironment Protection, Chengdu University of Technology, Chengdu, China","institution_ids":["https://openalex.org/I31595395"]},{"raw_affiliation_string":"Key Laboratory of National Geographic Census and Monitoring, Ministry of Natural Resources, Wuhan, China","institution_ids":["https://openalex.org/I1327237609","https://openalex.org/I211433327"]},{"raw_affiliation_string":"Badong National Observation and Research Station of Geohazards, China University of Geosciences, Wuhan, China","institution_ids":["https://openalex.org/I3124059619"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101977577","display_name":"Xiao Gao","orcid":"https://orcid.org/0000-0002-2964-0605"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]},{"id":"https://openalex.org/I3124059619","display_name":"China University of Geosciences","ror":"https://ror.org/04gcegc37","country_code":"CN","type":"education","lineage":["https://openalex.org/I3124059619"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiao Gao","raw_affiliation_strings":["School of Geophysics and Geomatics, China University of Geosciences, Wuhan, China","Center for Spatial Information Science and Sustainable Development Applications, Tongji University, Shanghai, China","College of Surveying and Geo-Informatics, Tongji University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"School of Geophysics and Geomatics, China University of Geosciences, Wuhan, China","institution_ids":["https://openalex.org/I3124059619"]},{"raw_affiliation_string":"Center for Spatial Information Science and Sustainable Development Applications, Tongji University, Shanghai, China","institution_ids":["https://openalex.org/I116953780"]},{"raw_affiliation_string":"College of Surveying and Geo-Informatics, Tongji University, Shanghai, China","institution_ids":["https://openalex.org/I116953780"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100603493","display_name":"Gang Liu","orcid":"https://orcid.org/0000-0002-8856-8746"},"institutions":[{"id":"https://openalex.org/I31595395","display_name":"Chengdu University of Technology","ror":"https://ror.org/05pejbw21","country_code":"CN","type":"education","lineage":["https://openalex.org/I31595395"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Gang Liu","raw_affiliation_strings":["State Key Laboratory of Geohazard Prevention and Geoenvironment Protection, Chengdu University of Technology, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Geohazard Prevention and Geoenvironment Protection, Chengdu University of Technology, Chengdu, China","institution_ids":["https://openalex.org/I31595395"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100337715","display_name":"Chen Wang","orcid":"https://orcid.org/0009-0005-1551-077X"},"institutions":[{"id":"https://openalex.org/I3124059619","display_name":"China University of Geosciences","ror":"https://ror.org/04gcegc37","country_code":"CN","type":"education","lineage":["https://openalex.org/I3124059619"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chen Wang","raw_affiliation_strings":["School of Geophysics and Geomatics, China University of Geosciences, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"School of Geophysics and Geomatics, China University of Geosciences, Wuhan, China","institution_ids":["https://openalex.org/I3124059619"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103221976","display_name":"Zeyang Zhao","orcid":"https://orcid.org/0009-0004-1132-1616"},"institutions":[{"id":"https://openalex.org/I3124059619","display_name":"China University of Geosciences","ror":"https://ror.org/04gcegc37","country_code":"CN","type":"education","lineage":["https://openalex.org/I3124059619"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zeyang Zhao","raw_affiliation_strings":["School of Geophysics and Geomatics, China University of Geosciences, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"School of Geophysics and Geomatics, China University of Geosciences, Wuhan, China","institution_ids":["https://openalex.org/I3124059619"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103127563","display_name":"Jie Dou","orcid":"https://orcid.org/0000-0001-5930-199X"},"institutions":[{"id":"https://openalex.org/I3124059619","display_name":"China University of Geosciences","ror":"https://ror.org/04gcegc37","country_code":"CN","type":"education","lineage":["https://openalex.org/I3124059619"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jie Dou","raw_affiliation_strings":["Badong National Observation and Research Station of Geohazards, China University of Geosciences, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"Badong National Observation and Research Station of Geohazards, China University of Geosciences, Wuhan, China","institution_ids":["https://openalex.org/I3124059619"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063163226","display_name":"Ruiqing Niu","orcid":"https://orcid.org/0000-0002-0862-7890"},"institutions":[{"id":"https://openalex.org/I3124059619","display_name":"China University of Geosciences","ror":"https://ror.org/04gcegc37","country_code":"CN","type":"education","lineage":["https://openalex.org/I3124059619"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ruiqing Niu","raw_affiliation_strings":["School of Geophysics and Geomatics, China University of Geosciences, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"School of Geophysics and Geomatics, China University of Geosciences, Wuhan, China","institution_ids":["https://openalex.org/I3124059619"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5054292278","display_name":"Antonio Plaza","orcid":"https://orcid.org/0000-0002-9613-1659"},"institutions":[{"id":"https://openalex.org/I80606768","display_name":"Universidad de Extremadura","ror":"https://ror.org/0174shg90","country_code":"ES","type":"education","lineage":["https://openalex.org/I80606768"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Antonio J. Plaza","raw_affiliation_strings":["Hyperspectral Computing Laboratory, Department of Technology of Computers and Communications, Escuela Politécnica, University of Extremadura, Cáceres, Spain"],"affiliations":[{"raw_affiliation_string":"Hyperspectral Computing Laboratory, Department of Technology of Computers and Communications, Escuela Politécnica, University of Extremadura, Cáceres, Spain","institution_ids":["https://openalex.org/I80606768"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5063406632"],"corresponding_institution_ids":["https://openalex.org/I1327237609","https://openalex.org/I211433327","https://openalex.org/I3124059619","https://openalex.org/I31595395"],"apc_list":{"value":1250,"currency":"USD","value_usd":1250},"apc_paid":{"value":1250,"currency":"USD","value_usd":1250},"fwci":34.6925,"has_fulltext":true,"cited_by_count":50,"citation_normalized_percentile":{"value":0.99846968,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"17","issue":null,"first_page":"3648","last_page":"3663"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10535","display_name":"Landslides and related hazards","score":0.9994000196456909,"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":0.9994000196456909,"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":0.9919000267982483,"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/T11606","display_name":"Infrastructure Maintenance and Monitoring","score":0.9871000051498413,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural Engineering"},"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/landslide","display_name":"Landslide","score":0.817380964756012},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8145752549171448},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5784735083580017},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5388625860214233},{"id":"https://openalex.org/keywords/rendering","display_name":"Rendering (computer graphics)","score":0.5097693800926208},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.44218480587005615},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.43562763929367065},{"id":"https://openalex.org/keywords/image-stitching","display_name":"Image stitching","score":0.42845618724823},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.39411693811416626},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.11251425743103027}],"concepts":[{"id":"https://openalex.org/C186295008","wikidata":"https://www.wikidata.org/wiki/Q167903","display_name":"Landslide","level":2,"score":0.817380964756012},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8145752549171448},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5784735083580017},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5388625860214233},{"id":"https://openalex.org/C205711294","wikidata":"https://www.wikidata.org/wiki/Q176953","display_name":"Rendering (computer graphics)","level":2,"score":0.5097693800926208},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.44218480587005615},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.43562763929367065},{"id":"https://openalex.org/C29081049","wikidata":"https://www.wikidata.org/wiki/Q1364242","display_name":"Image stitching","level":2,"score":0.42845618724823},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.39411693811416626},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.11251425743103027},{"id":"https://openalex.org/C187320778","wikidata":"https://www.wikidata.org/wiki/Q1349130","display_name":"Geotechnical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/jstars.2024.3351873","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2024.3351873","pdf_url":"https://ieeexplore.ieee.org/ielx7/4609443/4609444/10384668.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:6e2a4cd19cce42d0b713888047fb3b90","is_oa":true,"landing_page_url":"https://doaj.org/article/6e2a4cd19cce42d0b713888047fb3b90","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","license_id":"https://openalex.org/licenses/cc-by","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 3648-3663 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/jstars.2024.3351873","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2024.3351873","pdf_url":"https://ieeexplore.ieee.org/ielx7/4609443/4609444/10384668.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":[],"awards":[{"id":"https://openalex.org/G1023919524","display_name":null,"funder_award_id":", Grant","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1231421488","display_name":null,"funder_award_id":"under","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2087396116","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G24774785","display_name":null,"funder_award_id":"SKLGP2022K016","funder_id":"https://openalex.org/F4320326848","funder_display_name":"State Key Laboratory of Geohazard Prevention and Geoenvironment Protection"},{"id":"https://openalex.org/G250300280","display_name":null,"funder_award_id":"62371430","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3085993365","display_name":null,"funder_award_id":"(Grant No.","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3317480652","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3479671419","display_name":null,"funder_award_id":"62071439","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3636634000","display_name":null,"funder_award_id":"OFSLRSS202207","funder_id":"https://openalex.org/F4320326981","funder_display_name":"State Key Laboratory of Remote Sensing Science"},{"id":"https://openalex.org/G5939423041","display_name":null,"funder_award_id":"Technology","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5994120800","display_name":null,"funder_award_id":"Natural","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7645189031","display_name":null,"funder_award_id":"SKLGP2022K016","funder_id":"https://openalex.org/F4320323826","funder_display_name":"Chengdu University of Technology"},{"id":"https://openalex.org/G7726157001","display_name":null,"funder_award_id":"Grant No.","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8929950312","display_name":null,"funder_award_id":"2023NGCM11","funder_id":"https://openalex.org/F4320310282","funder_display_name":"Ministry of Natural Resources"}],"funders":[{"id":"https://openalex.org/F4320309024","display_name":"National Geographic Society","ror":"https://ror.org/04bqh5m06"},{"id":"https://openalex.org/F4320310282","display_name":"Ministry of Natural Resources","ror":"https://ror.org/02ntv3742"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320323826","display_name":"Chengdu University of Technology","ror":"https://ror.org/05pejbw21"},{"id":"https://openalex.org/F4320326848","display_name":"State Key Laboratory of Geohazard Prevention and Geoenvironment Protection","ror":null},{"id":"https://openalex.org/F4320326981","display_name":"State Key Laboratory of Remote Sensing Science","ror":"https://ror.org/05wzjqa24"},{"id":"https://openalex.org/F4320328111","display_name":"Chengdu University","ror":"https://ror.org/034z67559"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4390752937.pdf","grobid_xml":"https://content.openalex.org/works/W4390752937.grobid-xml"},"referenced_works_count":69,"referenced_works":["https://openalex.org/W310439352","https://openalex.org/W1686810756","https://openalex.org/W1970331803","https://openalex.org/W1982623886","https://openalex.org/W1991461719","https://openalex.org/W1998269446","https://openalex.org/W2005948635","https://openalex.org/W2012464879","https://openalex.org/W2049466036","https://openalex.org/W2071583081","https://openalex.org/W2077292227","https://openalex.org/W2117350110","https://openalex.org/W2124217455","https://openalex.org/W2141270567","https://openalex.org/W2168899452","https://openalex.org/W2194775991","https://openalex.org/W2300242332","https://openalex.org/W2412782625","https://openalex.org/W2414813772","https://openalex.org/W2538244214","https://openalex.org/W2559597482","https://openalex.org/W2560023338","https://openalex.org/W2578756457","https://openalex.org/W2599500356","https://openalex.org/W2622828109","https://openalex.org/W2727010603","https://openalex.org/W2751000232","https://openalex.org/W2770617885","https://openalex.org/W2799197246","https://openalex.org/W2804860796","https://openalex.org/W2886934227","https://openalex.org/W2908624219","https://openalex.org/W2912361013","https://openalex.org/W2963122961","https://openalex.org/W2963145730","https://openalex.org/W2963446712","https://openalex.org/W2964266063","https://openalex.org/W2981581709","https://openalex.org/W3003882269","https://openalex.org/W3010846872","https://openalex.org/W3011692993","https://openalex.org/W3012555526","https://openalex.org/W3091852895","https://openalex.org/W3160329607","https://openalex.org/W3163894833","https://openalex.org/W3177196641","https://openalex.org/W3180027445","https://openalex.org/W3194808133","https://openalex.org/W3202069230","https://openalex.org/W3202370946","https://openalex.org/W4211011291","https://openalex.org/W4213060692","https://openalex.org/W4240314683","https://openalex.org/W4285107185","https://openalex.org/W4287065492","https://openalex.org/W4296079303","https://openalex.org/W4296569534","https://openalex.org/W4312600819","https://openalex.org/W4312803404","https://openalex.org/W4313316205","https://openalex.org/W4313477398","https://openalex.org/W4382599459","https://openalex.org/W4386590660","https://openalex.org/W4388157208","https://openalex.org/W4388685310","https://openalex.org/W6637373629","https://openalex.org/W6788135285","https://openalex.org/W6799502010","https://openalex.org/W6857839881"],"related_works":["https://openalex.org/W68020613","https://openalex.org/W1973382465","https://openalex.org/W2091466534","https://openalex.org/W4255291540","https://openalex.org/W3134240150","https://openalex.org/W4387591196","https://openalex.org/W4392793652","https://openalex.org/W4399199700","https://openalex.org/W172825421","https://openalex.org/W2944699522"],"abstract_inverted_index":{"Landslides":[0],"are":[1,196,201],"catastrophic":[2],"geological":[3],"events":[4],"that":[5,185,216],"can":[6,29],"cause":[7],"significant":[8],"damage":[9],"to":[10,24,46,104,131,145],"properties":[11],"and":[12,113,121,172,198,203,231],"result":[13],"in":[14,97,191],"the":[15,54,62,86,89,94,98,128,133,147,152,159,165,186,192,207,218,226,232,237],"loss":[16],"of":[17,66,88,135,154,161,167,189,209,217,229,236],"human":[18],"lives.":[19],"Deep":[20],"learning":[21],"technology":[22],"applied":[23],"optical":[25],"remote":[26],"sensing":[27],"images":[28],"enable":[30],"effective":[31],"landslide-prone":[32],"area":[33],"detection.":[34],"However,":[35],"conventional":[36],"landslide":[37,123,142],"detection":[38,48,55],"(LD)":[39],"models":[40,59],"often":[41,52],"employ":[42],"complex":[43],"structural":[44],"designs":[45],"ensure":[47],"accuracy.":[49],"The":[50],"complexity":[51],"hampers":[53],"speed,":[56],"rendering":[57],"these":[58,70],"inadequate":[60],"for":[61,81],"swift":[63],"emergency":[64],"monitoring":[65],"landslides.":[67],"To":[68,84,150],"address":[69],"problems,":[71],"we":[72,92,140,157],"propose":[73],"a":[74],"new":[75],"lightweight":[76],"deep":[77],"learning-based":[78],"framework,":[79],"BisDeNet,":[80,91],"efficient":[82],"LD.":[83],"improve":[85],"efficiency":[87],"proposed":[90,137,223],"replaced":[93],"context":[95],"path":[96],"original":[99],"BiSeNet":[100],"with":[101,119,164],"DenseNet":[102],"due":[103],"its":[105],"strong":[106],"feature":[107],"extraction":[108],"ability,":[109],"few":[110],"required":[111],"parameters,":[112],"low":[114],"model":[115,176],"complexity.":[116],"Two":[117],"sites":[118],"different":[120],"representative":[122],"developments":[124],"were":[125],"selected":[126],"as":[127],"study":[129,194],"areas":[130,195],"verify":[132],"performance":[134,160],"our":[136,155,162,222],"BisDeNet.":[138],"Additionally,":[139],"introduced":[141],"causative":[143],"factors":[144],"enhance":[146],"sampling":[148],"dataset.":[149],"evaluate":[151],"effectiveness":[153],"approach,":[156],"compared":[158],"BisDeNet":[163,190,224],"performances":[166],"three":[168],"other":[169],"BiSeNet-based":[170],"methods":[171],"an":[173],"advanced":[174],"Transformer-based":[175],"DeiT":[177,219],"(Data-efficient":[178],"Image":[179],"Transformer).":[180],"Our":[181],"experimental":[182],"results":[183],"indicate":[184],"F1":[187],"scores":[188,208],"two":[193],"0.9006":[197],"0.8850,":[199],"which":[200],"26.22%":[202],"1.86%":[204],"higher":[205],"than":[206,215],"BiSeNet,":[210],"respectively,":[211],"but":[212],"slightly":[213],"lower":[214],"model.":[220],"Furthermore,":[221],"requires":[225],"fewest":[227],"number":[228],"parameters":[230],"least":[233],"memory":[234],"out":[235],"five":[238],"models.":[239]},"counts_by_year":[{"year":2026,"cited_by_count":6},{"year":2025,"cited_by_count":22},{"year":2024,"cited_by_count":22}],"updated_date":"2026-04-13T07:58:08.660418","created_date":"2025-10-10T00:00:00"}