{"id":"https://openalex.org/W4403210172","doi":"https://doi.org/10.1109/access.2024.3476420","title":"AMFF-LWBENet: A Novel Deep Learning Network Model for Extracting Lake Water Bodies From Remote Sensing Images","display_name":"AMFF-LWBENet: A Novel Deep Learning Network Model for Extracting Lake Water Bodies From Remote Sensing Images","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4403210172","doi":"https://doi.org/10.1109/access.2024.3476420"},"language":"en","primary_location":{"id":"doi:10.1109/access.2024.3476420","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3476420","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"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 Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/access.2024.3476420","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100767398","display_name":"Hua Hu","orcid":"https://orcid.org/0000-0002-9686-3753"},"institutions":[{"id":"https://openalex.org/I120379545","display_name":"Inner Mongolia Agricultural University","ror":"https://ror.org/015d0jq83","country_code":"CN","type":"education","lineage":["https://openalex.org/I120379545"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hua Hu","raw_affiliation_strings":["College of Computer and Information Engineering, Inner Mongolia Agricultural University, Hohhot, China"],"raw_orcid":"https://orcid.org/0000-0002-9686-3753","affiliations":[{"raw_affiliation_string":"College of Computer and Information Engineering, Inner Mongolia Agricultural University, Hohhot, China","institution_ids":["https://openalex.org/I120379545"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Xueliang Fu","orcid":"https://orcid.org/0000-0001-7864-6803"},"institutions":[{"id":"https://openalex.org/I120379545","display_name":"Inner Mongolia Agricultural University","ror":"https://ror.org/015d0jq83","country_code":"CN","type":"education","lineage":["https://openalex.org/I120379545"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xueliang Fu","raw_affiliation_strings":["College of Computer and Information Engineering, Inner Mongolia Agricultural University, Hohhot, China"],"raw_orcid":"https://orcid.org/0000-0001-7864-6803","affiliations":[{"raw_affiliation_string":"College of Computer and Information Engineering, Inner Mongolia Agricultural University, Hohhot, China","institution_ids":["https://openalex.org/I120379545"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Chao Li","orcid":"https://orcid.org/0009-0001-5117-9122"},"institutions":[{"id":"https://openalex.org/I120379545","display_name":"Inner Mongolia Agricultural University","ror":"https://ror.org/015d0jq83","country_code":"CN","type":"education","lineage":["https://openalex.org/I120379545"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chao Li","raw_affiliation_strings":["College of Water Conservancy and Civil Engineering, Inner Mongolia Agricultural University, Hohhot, China"],"raw_orcid":"https://orcid.org/0009-0001-5117-9122","affiliations":[{"raw_affiliation_string":"College of Water Conservancy and Civil Engineering, Inner Mongolia Agricultural University, Hohhot, China","institution_ids":["https://openalex.org/I120379545"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100574197","display_name":"Min Liu","orcid":"https://orcid.org/0009-0000-3094-895X"},"institutions":[{"id":"https://openalex.org/I120379545","display_name":"Inner Mongolia Agricultural University","ror":"https://ror.org/015d0jq83","country_code":"CN","type":"education","lineage":["https://openalex.org/I120379545"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Min Liu","raw_affiliation_strings":["College of Computer and Information Engineering, Inner Mongolia Agricultural University, Hohhot, China"],"raw_orcid":"https://orcid.org/0009-0000-3094-895X","affiliations":[{"raw_affiliation_string":"College of Computer and Information Engineering, Inner Mongolia Agricultural University, Hohhot, China","institution_ids":["https://openalex.org/I120379545"]}]},{"author_position":"last","author":{"id":null,"display_name":"Xiaolong Feng","orcid":"https://orcid.org/0009-0002-3135-0380"},"institutions":[{"id":"https://openalex.org/I120379545","display_name":"Inner Mongolia Agricultural University","ror":"https://ror.org/015d0jq83","country_code":"CN","type":"education","lineage":["https://openalex.org/I120379545"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaolong Feng","raw_affiliation_strings":["College of Computer and Information Engineering, Inner Mongolia Agricultural University, Hohhot, China"],"raw_orcid":"https://orcid.org/0009-0002-3135-0380","affiliations":[{"raw_affiliation_string":"College of Computer and Information Engineering, Inner Mongolia Agricultural University, Hohhot, China","institution_ids":["https://openalex.org/I120379545"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I120379545"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.6789,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.6850123,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":97},"biblio":{"volume":"12","issue":null,"first_page":"149001","last_page":"149017"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10930","display_name":"Flood Risk Assessment and Management","score":0.9193999767303467,"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"}},"topics":[{"id":"https://openalex.org/T10930","display_name":"Flood Risk Assessment and Management","score":0.9193999767303467,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.632095456123352},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.5302780866622925},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4936438798904419},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.44940420985221863},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.2890791893005371}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.632095456123352},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.5302780866622925},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4936438798904419},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.44940420985221863},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.2890791893005371}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2024.3476420","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3476420","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"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 Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:b04865480e3e43f4a1b55f5b553f3a47","is_oa":true,"landing_page_url":"https://doaj.org/article/b04865480e3e43f4a1b55f5b553f3a47","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 12, Pp 149001-149017 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2024.3476420","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3476420","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"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 Access","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/6","score":0.6200000047683716,"display_name":"Clean water and sanitation"}],"awards":[{"id":"https://openalex.org/G1749542556","display_name":null,"funder_award_id":"NJZZ23044","funder_id":"https://openalex.org/F4320327830","funder_display_name":"Research Program of Science and Technology at Universities of Inner Mongolia Autonomous Region"},{"id":"https://openalex.org/G4897544117","display_name":null,"funder_award_id":"2023MS05023","funder_id":"https://openalex.org/F4320329862","funder_display_name":"Natural Science Foundation of Tibet Autonomous Region"},{"id":"https://openalex.org/G4965545335","display_name":null,"funder_award_id":"2024MS06031","funder_id":"https://openalex.org/F4320329862","funder_display_name":"Natural Science Foundation of Tibet Autonomous Region"},{"id":"https://openalex.org/G552197449","display_name":"\u51b0-\u6c34-\u5824\u4e92\u9988\u673a\u5236\u4e0b\u5824\u5cb8\u5d29\u584c\u5931\u7a33\u673a\u7406\u53ca\u6a21\u5f0f\u7814\u7a76","funder_award_id":"51969025","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"},{"id":"https://openalex.org/F4320327830","display_name":"Research Program of Science and Technology at Universities of Inner Mongolia Autonomous Region","ror":null},{"id":"https://openalex.org/F4320329862","display_name":"Natural Science Foundation of Tibet Autonomous Region","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W2077509829","https://openalex.org/W2101678239","https://openalex.org/W2194775991","https://openalex.org/W2395611524","https://openalex.org/W2787091153","https://openalex.org/W2947411773","https://openalex.org/W2955058313","https://openalex.org/W2963881378","https://openalex.org/W3013368467","https://openalex.org/W3022378226","https://openalex.org/W3029999318","https://openalex.org/W3042540437","https://openalex.org/W3089018736","https://openalex.org/W3098644525","https://openalex.org/W3117652191","https://openalex.org/W3117771794","https://openalex.org/W3134864136","https://openalex.org/W4200514954","https://openalex.org/W4225784760","https://openalex.org/W4310206147","https://openalex.org/W4312002203","https://openalex.org/W4361224495","https://openalex.org/W4382021575","https://openalex.org/W6750469568","https://openalex.org/W6783573070","https://openalex.org/W6846903219"],"related_works":["https://openalex.org/W2731899572","https://openalex.org/W3215138031","https://openalex.org/W3009238340","https://openalex.org/W4321369474","https://openalex.org/W4360585206","https://openalex.org/W4285208911","https://openalex.org/W3082895349","https://openalex.org/W4213079790","https://openalex.org/W2248239756","https://openalex.org/W4323565446"],"abstract_inverted_index":{"The":[0,71,162,187],"extraction":[1,69],"of":[2,108,192,236],"lake":[3,66,129,158,225],"water":[4,13,67,159,226],"bodies":[5],"from":[6,171],"remote":[7],"sensing":[8],"images":[9,173],"is":[10,137,147,215],"vital":[11],"for":[12,79,232],"resource":[14],"management,":[15],"environmental":[16,237],"protection,":[17],"climate":[18],"change":[19],"research,":[20],"disaster":[21],"monitoring,":[22],"and":[23,43,59,102,113,131,144,177,198,238],"land":[24],"use":[25],"planning.":[26],"This":[27],"study":[28],"presents":[29],"a":[30,166,233],"novel":[31],"model,":[32],"AMFF-LWBENet":[33,188,214],"(A":[34],"Lake":[35],"Water":[36],"Body":[37],"Extraction":[38],"Network":[39],"based":[40],"on":[41,194,200],"ASPP":[42,103],"Multi-scale":[44],"Feature":[45],"Fusion),":[46],"designed":[47],"to":[48,81,104,139],"tackle":[49],"challenges":[50],"such":[51],"as":[52,179,181],"insufficient":[53],"spatial":[54],"detail,":[55],"poor":[56],"edge":[57,130],"recognition,":[58],"low":[60],"anti-noise":[61],"performance":[62],"found":[63],"in":[64,116,223],"existing":[65],"body":[68,160],"models.":[70],"model":[72],"utilizes":[73],"an":[74],"encoder-decoder":[75],"architecture,":[76],"leveraging":[77],"ResNet50":[78],"downsampling":[80],"extract":[82],"deep":[83],"features,":[84],"which":[85],"are":[86,120],"then":[87],"fused":[88],"more":[89,217],"effectively":[90],"through":[91,149],"the":[92,106,117,128,141,150,182,195,201],"multi-scale":[93,109],"dense":[94],"fusion":[95,146,153],"(MDF)":[96],"module,":[97,155],"incorporating":[98],"depthwise":[99],"separable":[100],"convolution":[101],"enhance":[105],"integration":[107],"features.":[110],"Additionally,":[111],"position":[112],"channel":[114],"correlations":[115],"feature":[118,142,145,152],"map":[119],"captured":[121],"using":[122],"DANet,":[123],"minimizing":[124],"noise":[125],"interference":[126],"at":[127],"improving":[132],"segmentation":[133,208],"accuracy.":[134],"Bilinear":[135],"interpolation":[136],"employed":[138],"upsample":[140],"map,":[143],"achieved":[148,189],"cross-layer":[151],"(CFF)":[154],"enabling":[156],"precise":[157],"extraction.":[161],"datasets":[163],"utilized":[164],"include":[165],"self-built":[167],"W-H":[168,196],"dataset,":[169,203],"derived":[170],"Landsat":[172],"collected":[174],"between":[175],"2015":[176],"2023,":[178],"well":[180],"publicly":[183],"available":[184],"TP":[185,202],"dataset.":[186],"MIoU":[190],"values":[191],"97.52%":[193],"dataset":[197],"97.5%":[199],"surpassing":[204],"current":[205],"state-of-the-art":[206],"semantic":[207],"networks.":[209],"These":[210],"results":[211],"suggest":[212],"that":[213],"even":[216],"effective":[218],"than":[219],"many":[220],"other":[221],"networks":[222],"extracting":[224],"bodies,":[227],"offering":[228],"significantly":[229],"enhanced":[230],"support":[231],"wide":[234],"range":[235],"urban":[239],"planning":[240],"applications.":[241]},"counts_by_year":[{"year":2025,"cited_by_count":3}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
