{"id":"https://openalex.org/W4413768356","doi":"https://doi.org/10.1088/1361-6501/adffa3","title":"E-MSLDNet: a dual-enhanced network with edge-aware and multiscale feature fusion for precision landslide detection in complex terrain","display_name":"E-MSLDNet: a dual-enhanced network with edge-aware and multiscale feature fusion for precision landslide detection in complex terrain","publication_year":2025,"publication_date":"2025-08-27","ids":{"openalex":"https://openalex.org/W4413768356","doi":"https://doi.org/10.1088/1361-6501/adffa3"},"language":"en","primary_location":{"id":"doi:10.1088/1361-6501/adffa3","doi":"https://doi.org/10.1088/1361-6501/adffa3","is_oa":false,"landing_page_url":"https://doi.org/10.1088/1361-6501/adffa3","pdf_url":null,"source":{"id":"https://openalex.org/S109302362","display_name":"Measurement Science and Technology","issn_l":"0957-0233","issn":["0957-0233","1361-6501"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-class-a","anvur-scientific","cwts-core","jufo-2","norway-1","poland-70","russia-white-list-2","vabb-shw"],"host_organization":"https://openalex.org/P4310320083","host_organization_name":"IOP Publishing","host_organization_lineage":["https://openalex.org/P4310320083","https://openalex.org/P4310311669"],"host_organization_lineage_names":["IOP Publishing","Institute of Physics"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Measurement Science and Technology","raw_type":"journal-article"},"volume":null,"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":null,"display_name":"Xingwang Zhao","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I184681353","display_name":"Anhui University of Science and Technology","ror":"https://ror.org/00q9atg80","country_code":"CN","type":"education","lineage":["https://openalex.org/I184681353"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xingwang Zhao","raw_affiliation_strings":["Key Laboratory of Aviation-aerospace-ground Cooperative Monitoring and Early Warning of Coal Mining-induced Disasters of Anhui Higher Education Institutes, Huainan 232001, People\u2019s Republic of China","School of Spatial Information and Geomatics Engineering, Anhui University of Science and Technology, Huainan 232001, People\u2019s Republic of China","State Key Laboratory for Safe Mining of Deep Coal Resources and Environment Protection, Anhui University of Science and Technology, Huainan 232001, People\u2019s Republic of China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Aviation-aerospace-ground Cooperative Monitoring and Early Warning of Coal Mining-induced Disasters of Anhui Higher Education Institutes, Huainan 232001, People\u2019s Republic of China","institution_ids":[]},{"raw_affiliation_string":"School of Spatial Information and Geomatics Engineering, Anhui University of Science and Technology, Huainan 232001, People\u2019s Republic of China","institution_ids":["https://openalex.org/I184681353"]},{"raw_affiliation_string":"State Key Laboratory for Safe Mining of Deep Coal Resources and Environment Protection, Anhui University of Science and Technology, Huainan 232001, People\u2019s Republic of China","institution_ids":["https://openalex.org/I184681353"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Xingya Cao","orcid":"https://orcid.org/0009-0009-8825-7081","observed_orcids":["https://orcid.org/0009-0009-8825-7081"]},"institutions":[{"id":"https://openalex.org/I184681353","display_name":"Anhui University of Science and Technology","ror":"https://ror.org/00q9atg80","country_code":"CN","type":"education","lineage":["https://openalex.org/I184681353"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xingya Cao","raw_affiliation_strings":["Key Laboratory of Aviation-aerospace-ground Cooperative Monitoring and Early Warning of Coal Mining-induced Disasters of Anhui Higher Education Institutes, Huainan 232001, People\u2019s Republic of China","School of Spatial Information and Geomatics Engineering, Anhui University of Science and Technology, Huainan 232001, People\u2019s Republic of China"],"raw_orcid":"https://orcid.org/0009-0009-8825-7081","affiliations":[{"raw_affiliation_string":"Key Laboratory of Aviation-aerospace-ground Cooperative Monitoring and Early Warning of Coal Mining-induced Disasters of Anhui Higher Education Institutes, Huainan 232001, People\u2019s Republic of China","institution_ids":[]},{"raw_affiliation_string":"School of Spatial Information and Geomatics Engineering, Anhui University of Science and Technology, Huainan 232001, People\u2019s Republic of China","institution_ids":["https://openalex.org/I184681353"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053431505","display_name":"Jingyu Yang","orcid":"https://orcid.org/0000-0003-2729-9519","observed_orcids":["https://orcid.org/0000-0003-2729-9519"]},"institutions":[{"id":"https://openalex.org/I184681353","display_name":"Anhui University of Science and Technology","ror":"https://ror.org/00q9atg80","country_code":"CN","type":"education","lineage":["https://openalex.org/I184681353"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jingyu Yang","raw_affiliation_strings":["Key Laboratory of Aviation-aerospace-ground Cooperative Monitoring and Early Warning of Coal Mining-induced Disasters of Anhui Higher Education Institutes, Huainan 232001, People\u2019s Republic of China","School of Spatial Information and Geomatics Engineering, Anhui University of Science and Technology, Huainan 232001, People\u2019s Republic of China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Aviation-aerospace-ground Cooperative Monitoring and Early Warning of Coal Mining-induced Disasters of Anhui Higher Education Institutes, Huainan 232001, People\u2019s Republic of China","institution_ids":[]},{"raw_affiliation_string":"School of Spatial Information and Geomatics Engineering, Anhui University of Science and Technology, Huainan 232001, People\u2019s Republic of China","institution_ids":["https://openalex.org/I184681353"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Guanzheng Zhao","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Guanzheng Zhao","raw_affiliation_strings":["Anhui Institute of Geological Surveying and Mapping, Hefei 230022, People\u2019s Republic of China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Anhui Institute of Geological Surveying and Mapping, Hefei 230022, People\u2019s Republic of China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101586761","display_name":"Chao Liu","orcid":"https://orcid.org/0000-0002-8826-3889","observed_orcids":["https://orcid.org/0000-0002-8826-3889"]},"institutions":[{"id":"https://openalex.org/I184681353","display_name":"Anhui University of Science and Technology","ror":"https://ror.org/00q9atg80","country_code":"CN","type":"education","lineage":["https://openalex.org/I184681353"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chao Liu","raw_affiliation_strings":["Key Laboratory of Aviation-aerospace-ground Cooperative Monitoring and Early Warning of Coal Mining-induced Disasters of Anhui Higher Education Institutes, Huainan 232001, People\u2019s Republic of China","School of Spatial Information and Geomatics Engineering, Anhui University of Science and Technology, Huainan 232001, People\u2019s Republic of China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Aviation-aerospace-ground Cooperative Monitoring and Early Warning of Coal Mining-induced Disasters of Anhui Higher Education Institutes, Huainan 232001, People\u2019s Republic of China","institution_ids":[]},{"raw_affiliation_string":"School of Spatial Information and Geomatics Engineering, Anhui University of Science and Technology, Huainan 232001, People\u2019s Republic of China","institution_ids":["https://openalex.org/I184681353"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101474600","display_name":"Chunyang Liu","orcid":"https://orcid.org/0000-0002-3694-0075","observed_orcids":["https://orcid.org/0000-0002-3694-0075"]},"institutions":[{"id":"https://openalex.org/I184681353","display_name":"Anhui University of Science and Technology","ror":"https://ror.org/00q9atg80","country_code":"CN","type":"education","lineage":["https://openalex.org/I184681353"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chunyang Liu","raw_affiliation_strings":["Key Laboratory of Aviation-aerospace-ground Cooperative Monitoring and Early Warning of Coal Mining-induced Disasters of Anhui Higher Education Institutes, Huainan 232001, People\u2019s Republic of China","School of Spatial Information and Geomatics Engineering, Anhui University of Science and Technology, Huainan 232001, People\u2019s Republic of China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Aviation-aerospace-ground Cooperative Monitoring and Early Warning of Coal Mining-induced Disasters of Anhui Higher Education Institutes, Huainan 232001, People\u2019s Republic of China","institution_ids":[]},{"raw_affiliation_string":"School of Spatial Information and Geomatics Engineering, Anhui University of Science and Technology, Huainan 232001, People\u2019s Republic of China","institution_ids":["https://openalex.org/I184681353"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5112503665","display_name":"Yi Chang","orcid":"https://orcid.org/0000-0003-2697-8093","observed_orcids":["https://orcid.org/0000-0003-2697-8093"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yi Chang","raw_affiliation_strings":["Anhui Institute of Geological Surveying and Mapping, Hefei 230022, People\u2019s Republic of China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Anhui Institute of Geological Surveying and Mapping, Hefei 230022, People\u2019s Republic of China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I184681353"],"apc_list":{"value":3325,"currency":"USD","value_usd":3325},"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.18655197,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"36","issue":"9","first_page":"095403","last_page":"095403"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10535","display_name":"Landslides and related hazards","score":0.9789999723434448,"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":0.9789999723434448,"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.010700000450015068,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.005400000140070915,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/landslide-detection","display_name":"landslide detection","score":0.9829999804496765},{"id":"https://openalex.org/keywords/landslide-segmentation","display_name":"landslide segmentation","score":0.6959999799728394},{"id":"https://openalex.org/keywords/multiscale-feature-fusion","display_name":"multi-scale feature fusion","score":0.8230000138282776},{"id":"https://openalex.org/keywords/complex-terrain","display_name":"complex terrain","score":0.734000027179718},{"id":"https://openalex.org/keywords/high-resolution-remote-sensing-images","display_name":"high-resolution remote sensing images","score":0.8330000042915344}],"concepts":[{"id":"https://openalex.org/C161840515","wikidata":"https://www.wikidata.org/wiki/Q186131","display_name":"Terrain","level":2,"score":0.8179563283920288},{"id":"https://openalex.org/C186295008","wikidata":"https://www.wikidata.org/wiki/Q167903","display_name":"Landslide","level":2,"score":0.7494797706604004},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.696830153465271},{"id":"https://openalex.org/C2780980858","wikidata":"https://www.wikidata.org/wiki/Q110022","display_name":"Dual (grammatical number)","level":2,"score":0.6797943115234375},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6714036464691162},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6502692699432373},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.5466407537460327},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5313926935195923},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.47064703702926636},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.40047159790992737},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.35419702529907227},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3351406455039978},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.15487536787986755},{"id":"https://openalex.org/C165205528","wikidata":"https://www.wikidata.org/wiki/Q83371","display_name":"Seismology","level":1,"score":0.12180617451667786},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.11032596230506897},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"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/C124952713","wikidata":"https://www.wikidata.org/wiki/Q8242","display_name":"Literature","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1088/1361-6501/adffa3","doi":"https://doi.org/10.1088/1361-6501/adffa3","is_oa":false,"landing_page_url":"https://doi.org/10.1088/1361-6501/adffa3","pdf_url":null,"source":{"id":"https://openalex.org/S109302362","display_name":"Measurement Science and Technology","issn_l":"0957-0233","issn":["0957-0233","1361-6501"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-class-a","anvur-scientific","cwts-core","jufo-2","norway-1","poland-70","russia-white-list-2","vabb-shw"],"host_organization":"https://openalex.org/P4310320083","host_organization_name":"IOP Publishing","host_organization_lineage":["https://openalex.org/P4310320083","https://openalex.org/P4310311669"],"host_organization_lineage_names":["IOP Publishing","Institute of Physics"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Measurement Science and Technology","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"sustainable_development_goals_aurora":[],"study_designs":[],"awards":[{"id":"https://openalex.org/G58228360","display_name":null,"funder_award_id":"2208085MD101","funder_id":"https://openalex.org/F4320334897","funder_display_name":"Natural Science Foundation of Anhui Province"}],"funders":[{"id":"https://openalex.org/F4320334897","display_name":"Natural Science Foundation of Anhui Province","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":57,"referenced_works":["https://openalex.org/W845365781","https://openalex.org/W1901129140","https://openalex.org/W1983930830","https://openalex.org/W2054769272","https://openalex.org/W2060382151","https://openalex.org/W2194775991","https://openalex.org/W2417254599","https://openalex.org/W2492586371","https://openalex.org/W2531409750","https://openalex.org/W2560023338","https://openalex.org/W2753203118","https://openalex.org/W2753609657","https://openalex.org/W2765654002","https://openalex.org/W2769891120","https://openalex.org/W2896947203","https://openalex.org/W2912361013","https://openalex.org/W2962858109","https://openalex.org/W2963420686","https://openalex.org/W2964309882","https://openalex.org/W2989839147","https://openalex.org/W3011828335","https://openalex.org/W3014641072","https://openalex.org/W3080873416","https://openalex.org/W3093027459","https://openalex.org/W3095609907","https://openalex.org/W3131916787","https://openalex.org/W3157362446","https://openalex.org/W3177052299","https://openalex.org/W3200228565","https://openalex.org/W3211490618","https://openalex.org/W4200082766","https://openalex.org/W4205090258","https://openalex.org/W4220947060","https://openalex.org/W4226069476","https://openalex.org/W4291743716","https://openalex.org/W4294631539","https://openalex.org/W4308106689","https://openalex.org/W4318681845","https://openalex.org/W4376288330","https://openalex.org/W4382788393","https://openalex.org/W4386215086","https://openalex.org/W4387993701","https://openalex.org/W4387995648","https://openalex.org/W4389836317","https://openalex.org/W4390499842","https://openalex.org/W4390611966","https://openalex.org/W4391433258","https://openalex.org/W4392896817","https://openalex.org/W4393203555","https://openalex.org/W4396909873","https://openalex.org/W4399068453","https://openalex.org/W4400489042","https://openalex.org/W4400747761","https://openalex.org/W4400942753","https://openalex.org/W4401976142","https://openalex.org/W4406787072","https://openalex.org/W4408703260"],"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":{"Abstract":[0],"Precise":[1],"boundary":[2,20,103,132,153],"measurement":[3,21],"and":[4,23,39,142,176,197,227],"quantitative":[5,150],"delineation":[6],"of":[7,81,140,161,168,174,181,222],"landslides":[8,82],"from":[9],"high-resolution":[10],"remote":[11],"sensing":[12],"imagery":[13],"faces":[14],"significant":[15],"challenges,":[16,33],"including":[17],"scale":[18],"heterogeneity,":[19],"uncertainty,":[22],"inadequate":[24],"precision":[25],"in":[26,105,145,236],"complex":[27,237],"terrain":[28],"environments.":[29],"To":[30],"address":[31],"these":[32],"we":[34,58,87,109,136],"propose":[35,110],"E-MSLDNet,":[36],"an":[37,89,111],"edge-aware":[38,90],"multiscale":[40,61,225],"feature":[41,62],"fusion":[42,114],"dual-enhanced":[43],"landslide":[44,50,146,163,233],"detection":[45,147,234],"network":[46],"that":[47,66,93,116],"systematically":[48],"tackles":[49],"segmentation":[51,133],"difficulties":[52],"through":[53,124],"three":[54],"novel":[55,126],"contributions.":[56],"Firstly,":[57],"develop":[59],"a":[60],"aggregation":[63],"attention":[64,76,91,98],"module":[65,92,115],"innovatively":[67],"combines":[68],"parallel":[69],"multi-receptive":[70],"field":[71],"processing":[72],"with":[73,121],"dynamic":[74],"channel":[75],"mechanisms,":[77,230],"enabling":[78],"robust":[79],"representation":[80],"across":[83],"diverse":[84],"scales.":[85],"Secondly,":[86],"design":[88],"employs":[94],"originally":[95],"conceived":[96],"direction-sensitive":[97],"mechanisms":[99],"to":[100,148,183,200],"achieve":[101],"precise":[102],"capture":[104],"ambiguous":[106],"regions.":[107],"Additionally,":[108],"edge":[112,119,228],"enhancement":[113,229],"dynamically":[117],"integrates":[118],"priors":[120],"semantic":[122],"features":[123],"our":[125,223],"spatially-guided":[127],"calibration":[128],"strategy,":[129],"significantly":[130],"improving":[131],"accuracy.":[134],"Furthermore,":[135,205],"pioneer":[137],"the":[138,166,201,206,212,219],"application":[139],"HD95":[141,191],"FOM":[143,207],"metrics":[144],"establish":[149],"benchmarks":[151],"for":[152],"assessment.":[154],"Experimental":[155],"results":[156],"on":[157,211],"four":[158],"Chinese":[159],"Academy":[160],"Sciences":[162],"datasets":[164],"demonstrate":[165],"superiority":[167],"E-MSLDNet.":[169],"It":[170],"achieves":[171],"IoU":[172],"gains":[173],"1.81%\u20134.72%":[175],"Boundary":[177],"F1":[178],"score":[179],"improvements":[180],"up":[182],"10.27":[184],"percentage":[185],"points":[186],"over":[187],"baseline":[188],"methods.":[189],"The":[190],"metric":[192,208],"is":[193],"reduced":[194],"by":[195],"11.08%":[196],"15.17%":[198],"compared":[199],"second-best":[202],"models,":[203],"respectively.":[204],"remains":[209],"optimal":[210],"challenging":[213],"Jiuzhaigou":[214],"dataset.":[215],"Ablation":[216],"studies":[217],"validate":[218],"complementary":[220],"contributions":[221],"proposed":[224],"learning":[226],"effectively":[231],"advancing":[232],"performance":[235],"terrains.":[238]},"counts_by_year":[],"updated_date":"2026-10-14T16:39:01.820549","created_date":"2025-10-10T00:00:00"}
