{"id":"https://openalex.org/W4399388390","doi":"https://doi.org/10.3390/s24113677","title":"EMR-HRNet: A Multi-Scale Feature Fusion Network for Landslide Segmentation from Remote Sensing Images","display_name":"EMR-HRNet: A Multi-Scale Feature Fusion Network for Landslide Segmentation from Remote Sensing Images","publication_year":2024,"publication_date":"2024-06-06","ids":{"openalex":"https://openalex.org/W4399388390","doi":"https://doi.org/10.3390/s24113677","pmid":"https://pubmed.ncbi.nlm.nih.gov/38894469"},"language":"en","primary_location":{"id":"doi:10.3390/s24113677","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s24113677","pdf_url":"https://www.mdpi.com/1424-8220/24/11/3677/pdf?version=1717661918","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1424-8220/24/11/3677/pdf?version=1717661918","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5102588961","display_name":"Yuanhang Jin","orcid":null},"institutions":[{"id":"https://openalex.org/I4510145","display_name":"Jiangxi University of Science and Technology","ror":"https://ror.org/03q0t9252","country_code":"CN","type":"education","lineage":["https://openalex.org/I4510145"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuanhang Jin","raw_affiliation_strings":["School of Civil Engineering and Surveying & Mapping Engineering, Jiangxi University of Science and Technology, Ganzhou 341000, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Civil Engineering and Surveying & Mapping Engineering, Jiangxi University of Science and Technology, Ganzhou 341000, China","institution_ids":["https://openalex.org/I4510145"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110168396","display_name":"Xiaosheng Liu","orcid":"https://orcid.org/0000-0001-5368-9989"},"institutions":[{"id":"https://openalex.org/I4510145","display_name":"Jiangxi University of Science and Technology","ror":"https://ror.org/03q0t9252","country_code":"CN","type":"education","lineage":["https://openalex.org/I4510145"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xiaosheng Liu","raw_affiliation_strings":["School of Civil Engineering and Surveying & Mapping Engineering, Jiangxi University of Science and Technology, Ganzhou 341000, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Civil Engineering and Surveying & Mapping Engineering, Jiangxi University of Science and Technology, Ganzhou 341000, China","institution_ids":["https://openalex.org/I4510145"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101558286","display_name":"Xiaobin Huang","orcid":"https://orcid.org/0009-0004-7645-8875"},"institutions":[{"id":"https://openalex.org/I4510145","display_name":"Jiangxi University of Science and Technology","ror":"https://ror.org/03q0t9252","country_code":"CN","type":"education","lineage":["https://openalex.org/I4510145"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaobin Huang","raw_affiliation_strings":["School of Civil Engineering and Surveying & Mapping Engineering, Jiangxi University of Science and Technology, Ganzhou 341000, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Civil Engineering and Surveying & Mapping Engineering, Jiangxi University of Science and Technology, Ganzhou 341000, China","institution_ids":["https://openalex.org/I4510145"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5110168396"],"corresponding_institution_ids":["https://openalex.org/I4510145"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2598},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2598},"fwci":9.9069,"has_fulltext":true,"cited_by_count":16,"citation_normalized_percentile":{"value":0.97805599,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":"24","issue":"11","first_page":"3677","last_page":"3677"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10535","display_name":"Landslides and related hazards","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2308","display_name":"Management, Monitoring, Policy and Law"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10535","display_name":"Landslides and related hazards","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2308","display_name":"Management, Monitoring, Policy and Law"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10930","display_name":"Flood Risk Assessment and Management","score":0.993399977684021,"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9828000068664551,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/landslide","display_name":"Landslide","score":0.7907928228378296},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.68528813123703},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.6651964783668518},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6478525996208191},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6008278131484985},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5469274520874023},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.512677788734436},{"id":"https://openalex.org/keywords/image-fusion","display_name":"Image fusion","score":0.450231671333313},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.4436267912387848},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.43919479846954346},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.4186943769454956},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3827892541885376},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.29562970995903015},{"id":"https://openalex.org/keywords/geomorphology","display_name":"Geomorphology","score":0.2528727650642395},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.22911351919174194},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.22017407417297363}],"concepts":[{"id":"https://openalex.org/C186295008","wikidata":"https://www.wikidata.org/wiki/Q167903","display_name":"Landslide","level":2,"score":0.7907928228378296},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.68528813123703},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.6651964783668518},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6478525996208191},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6008278131484985},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5469274520874023},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.512677788734436},{"id":"https://openalex.org/C69744172","wikidata":"https://www.wikidata.org/wiki/Q860822","display_name":"Image fusion","level":3,"score":0.450231671333313},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.4436267912387848},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.43919479846954346},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.4186943769454956},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3827892541885376},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.29562970995903015},{"id":"https://openalex.org/C114793014","wikidata":"https://www.wikidata.org/wiki/Q52109","display_name":"Geomorphology","level":1,"score":0.2528727650642395},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.22911351919174194},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.22017407417297363},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.3390/s24113677","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s24113677","pdf_url":"https://www.mdpi.com/1424-8220/24/11/3677/pdf?version=1717661918","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},{"id":"pmid:38894469","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/38894469","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:pubmedcentral.nih.gov:11175317","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/11175317","pdf_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC11175317/pdf/sensors-24-03677.pdf","source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors (Basel)","raw_type":"Text"},{"id":"pmh:oai:doaj.org/article:2ae2314bfbee4bbd96416bd063df3731","is_oa":false,"landing_page_url":"https://doaj.org/article/2ae2314bfbee4bbd96416bd063df3731","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors, Vol 24, Iss 11, p 3677 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.3390/s24113677","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s24113677","pdf_url":"https://www.mdpi.com/1424-8220/24/11/3677/pdf?version=1717661918","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/12","score":0.5199999809265137,"display_name":"Responsible consumption and production"}],"awards":[{"id":"https://openalex.org/G72672291","display_name":null,"funder_award_id":"42171437","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4399388390.pdf"},"referenced_works_count":52,"referenced_works":["https://openalex.org/W1994048307","https://openalex.org/W2001645642","https://openalex.org/W2024106491","https://openalex.org/W2029316659","https://openalex.org/W2147555471","https://openalex.org/W2254435028","https://openalex.org/W2509507403","https://openalex.org/W2565639579","https://openalex.org/W2604086375","https://openalex.org/W2604306584","https://openalex.org/W2793927960","https://openalex.org/W2809758875","https://openalex.org/W2916798096","https://openalex.org/W2966450079","https://openalex.org/W2968752509","https://openalex.org/W2982014038","https://openalex.org/W3003882269","https://openalex.org/W3007268491","https://openalex.org/W3025050498","https://openalex.org/W3043400139","https://openalex.org/W3047268098","https://openalex.org/W3091852895","https://openalex.org/W3111915298","https://openalex.org/W3149758324","https://openalex.org/W3163973305","https://openalex.org/W3192465173","https://openalex.org/W3200228565","https://openalex.org/W4200535305","https://openalex.org/W4213266882","https://openalex.org/W4220656524","https://openalex.org/W4225672218","https://openalex.org/W4291743716","https://openalex.org/W4292831656","https://openalex.org/W4294311536","https://openalex.org/W4296569534","https://openalex.org/W4296830418","https://openalex.org/W4303980730","https://openalex.org/W4312803404","https://openalex.org/W4318069266","https://openalex.org/W4321609022","https://openalex.org/W4322753249","https://openalex.org/W4323519326","https://openalex.org/W4367052076","https://openalex.org/W4372347372","https://openalex.org/W4379515554","https://openalex.org/W4383616394","https://openalex.org/W4386590660","https://openalex.org/W4388534843","https://openalex.org/W4389095771","https://openalex.org/W4389752586","https://openalex.org/W4390017862","https://openalex.org/W6849489651"],"related_works":["https://openalex.org/W2788731446","https://openalex.org/W2204403038","https://openalex.org/W3152170969","https://openalex.org/W2379054866","https://openalex.org/W2370195708","https://openalex.org/W1490651872","https://openalex.org/W2139242969","https://openalex.org/W2284201331","https://openalex.org/W2095903272","https://openalex.org/W1989561795"],"abstract_inverted_index":{"Landslides":[0],"constitute":[1],"a":[2,40,72],"significant":[3,182],"hazard":[4],"to":[5,59,119],"human":[6,18],"life,":[7],"safety":[8],"and":[9,20,74,94,129,132,150,175],"natural":[10],"resources.":[11],"Traditional":[12],"landslide":[13,31,190],"investigation":[14],"methods":[15],"demand":[16],"considerable":[17],"effort":[19],"expertise.":[21],"To":[22],"address":[23],"this":[24,26,69],"issue,":[25],"study":[27],"introduces":[28],"an":[29],"innovative":[30],"segmentation":[32,143],"framework,":[33],"EMR-HRNet,":[34],"aimed":[35],"at":[36,96],"enhancing":[37],"accuracy.":[38],"Initially,":[39],"novel":[41],"data":[42],"augmentation":[43],"technique,":[44],"CenterRep,":[45],"is":[46],"proposed,":[47],"not":[48],"only":[49],"augmenting":[50,87],"the":[51,57,63,84,88,100,103,112,126,130,158,163],"training":[52],"dataset":[53,128,135,160],"but":[54],"also":[55],"enabling":[56],"model":[58],"more":[60],"effectively":[61],"capture":[62],"intricate":[64],"features":[65],"of":[66,102,148],"landslides.":[67],"Furthermore,":[68],"paper":[70],"integrates":[71],"RefConv":[73],"Multi-Dconv":[75],"Head":[76],"Transposed":[77],"Attention":[78,107],"(RMA)":[79],"feature":[80],"pyramid":[81],"structure":[82],"into":[83],"HRNet":[85],"model,":[86],"model's":[89,113],"capacity":[90],"for":[91,189],"semantic":[92,142],"recognition":[93],"expression":[95],"various":[97],"levels.":[98],"Last,":[99],"incorporation":[101],"Dilated":[104],"Efficient":[105],"Multi-Scale":[106],"(DEMA)":[108],"block":[109],"substantially":[110],"widens":[111],"receptive":[114],"field,":[115],"bolstering":[116],"its":[117,181],"capability":[118],"discern":[120],"local":[121],"features.":[122],"Rigorous":[123],"evaluations":[124],"on":[125],"Bijie":[127],"Sichuan":[131],"surrounding":[133],"area":[134],"demonstrate":[136],"that":[137,169],"EMR-HRNet":[138,170],"outperforms":[139],"other":[140],"advanced":[141],"models,":[144],"achieving":[145],"mIoU":[146],"scores":[147],"81.70%":[149],"71.68%,":[151],"respectively.":[152],"Additionally,":[153],"ablation":[154],"studies":[155],"conducted":[156],"across":[157],"comprehensive":[159],"further":[161],"corroborate":[162],"enhancements'":[164],"efficacy.":[165],"The":[166],"results":[167],"indicate":[168],"excels":[171],"in":[172,184],"processing":[173],"satellite":[174],"UAV":[176],"remote":[177,187],"sensing":[178,188],"imagery,":[179],"showcasing":[180],"potential":[183],"multi-source":[185],"optical":[186],"segmentation.":[191]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":13},{"year":2024,"cited_by_count":2}],"updated_date":"2026-06-13T07:54:00.901334","created_date":"2025-10-10T00:00:00"}
