{"id":"https://openalex.org/W4405022795","doi":"https://doi.org/10.1109/access.2024.3510796","title":"High-Precision Qiantang River Water Body Recognition Based on Remote Sensing Image","display_name":"High-Precision Qiantang River Water Body Recognition Based on Remote Sensing Image","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4405022795","doi":"https://doi.org/10.1109/access.2024.3510796"},"language":"en","primary_location":{"id":"doi:10.1109/access.2024.3510796","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3510796","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","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.2024.3510796","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5034222384","display_name":"Hongcui Wang","orcid":"https://orcid.org/0009-0009-8332-1152"},"institutions":[{"id":"https://openalex.org/I4210160030","display_name":"Zhejiang University of Water Resource and Electric Power","ror":"https://ror.org/04dg5b632","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210160030"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongcui Wang","raw_affiliation_strings":["Zhejiang University of Water Resources and Electric Power, Hangzhou, China"],"raw_orcid":"https://orcid.org/0009-0009-8332-1152","affiliations":[{"raw_affiliation_string":"Zhejiang University of Water Resources and Electric Power, Hangzhou, China","institution_ids":["https://openalex.org/I4210160030"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100943123","display_name":"Yihong Zheng","orcid":"https://orcid.org/0009-0004-3792-3519"},"institutions":[{"id":"https://openalex.org/I4210160030","display_name":"Zhejiang University of Water Resource and Electric Power","ror":"https://ror.org/04dg5b632","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210160030"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yihong Zheng","raw_affiliation_strings":["Zhejiang University of Water Resources and Electric Power, Hangzhou, China"],"raw_orcid":"https://orcid.org/0009-0004-3792-3519","affiliations":[{"raw_affiliation_string":"Zhejiang University of Water Resources and Electric Power, Hangzhou, China","institution_ids":["https://openalex.org/I4210160030"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5018061053","display_name":"Ouxiang Chen","orcid":"https://orcid.org/0009-0004-8253-722X"},"institutions":[{"id":"https://openalex.org/I1328775524","display_name":"Zhejiang Sci-Tech University","ror":"https://ror.org/03893we55","country_code":"CN","type":"education","lineage":["https://openalex.org/I1328775524"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ouxiang Chen","raw_affiliation_strings":["Zhejiang Sci-Tech University, Hangzhou, China"],"raw_orcid":"https://orcid.org/0009-0004-8253-722X","affiliations":[{"raw_affiliation_string":"Zhejiang Sci-Tech University, Hangzhou, China","institution_ids":["https://openalex.org/I1328775524"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.18320167,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"12","issue":null,"first_page":"183444","last_page":"183450"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10930","display_name":"Flood Risk Assessment and Management","score":0.9941999912261963,"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":0.9941999912261963,"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/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9884999990463257,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"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/T10330","display_name":"Hydrology and Watershed Management Studies","score":0.9629999995231628,"subfield":{"id":"https://openalex.org/subfields/2312","display_name":"Water Science and Technology"},"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":0.6644867658615112},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.6486691236495972},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5379247665405273},{"id":"https://openalex.org/keywords/water-body","display_name":"Water body","score":0.5293270945549011},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5169329047203064},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4356752634048462},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3241146504878998},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.24846047163009644},{"id":"https://openalex.org/keywords/geotechnical-engineering","display_name":"Geotechnical engineering","score":0.07601571083068848}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6644867658615112},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.6486691236495972},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5379247665405273},{"id":"https://openalex.org/C2986309107","wikidata":"https://www.wikidata.org/wiki/Q15324","display_name":"Water body","level":2,"score":0.5293270945549011},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5169329047203064},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4356752634048462},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3241146504878998},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.24846047163009644},{"id":"https://openalex.org/C187320778","wikidata":"https://www.wikidata.org/wiki/Q1349130","display_name":"Geotechnical engineering","level":1,"score":0.07601571083068848}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2024.3510796","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3510796","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:7f8668698acf4704b05afbe1a061d630","is_oa":true,"landing_page_url":"https://doaj.org/article/7f8668698acf4704b05afbe1a061d630","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 183444-183450 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2024.3510796","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3510796","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Clean water and sanitation","id":"https://metadata.un.org/sdg/6","score":0.7200000286102295}],"awards":[{"id":"https://openalex.org/G4441205289","display_name":null,"funder_award_id":"LGF20F020008","funder_id":"https://openalex.org/F4320338469","funder_display_name":"Science and Technology Program of Zhejiang Province"},{"id":"https://openalex.org/G4814578982","display_name":null,"funder_award_id":"LZJWZ23E090001","funder_id":"https://openalex.org/F4320310121","funder_display_name":"Natural Science Foundation of Jilin Province"}],"funders":[{"id":"https://openalex.org/F4320310121","display_name":"Natural Science Foundation of Jilin Province","ror":null},{"id":"https://openalex.org/F4320338469","display_name":"Science and Technology Program of Zhejiang Province","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W1968049524","https://openalex.org/W1995581599","https://openalex.org/W2061718511","https://openalex.org/W2062645558","https://openalex.org/W2077509829","https://openalex.org/W2101439532","https://openalex.org/W2763556461","https://openalex.org/W2776982747","https://openalex.org/W2981719849","https://openalex.org/W3133477028","https://openalex.org/W3159658500","https://openalex.org/W3182453352","https://openalex.org/W3194224793","https://openalex.org/W4225876597","https://openalex.org/W4286373942","https://openalex.org/W4292387412","https://openalex.org/W4293250956","https://openalex.org/W6675245165","https://openalex.org/W6798046130"],"related_works":["https://openalex.org/W2121524756","https://openalex.org/W782553550","https://openalex.org/W1987967678","https://openalex.org/W2633218168","https://openalex.org/W4235897794","https://openalex.org/W2059707233","https://openalex.org/W1983126463","https://openalex.org/W2085738998","https://openalex.org/W2095126257","https://openalex.org/W2031511989"],"abstract_inverted_index":{"River":[0,121],"water":[1,61,82,95,102,116,126,183],"body":[2,62,83,96,103,127],"identification":[3,84],"plays":[4],"an":[5],"important":[6],"role":[7],"in":[8,118,125,198],"flood":[9],"monitoring,":[10],"urban":[11],"planning,":[12],"Thus,":[13],"it":[14,180],"attracts":[15],"more":[16,182],"interests":[17],"of":[18,85,114,133],"studying":[19],"and":[20,35,105,129,139,145,150,189,207,215],"investigating,":[21],"especially":[22],"based":[23,167],"on":[24,80,168],"remote":[25],"sensing":[26],"technology,":[27],"The":[28],"traditional":[29,144],"NDWI":[30],"(Normalized":[31],"Difference":[32,39],"Water":[33,40],"Index)":[34,41],"MNDWI":[36],"(Modified":[37],"Normalized":[38],"methods":[42,48,149],"are":[43,73,77,110],"widely":[44],"used,":[45],"However,":[46],"these":[47],"need":[49],"manual":[50],"intervention":[51],"to":[52,58,193],"select":[53],"the":[54,81,99,111,119,130,155,165,176,205],"threshold,":[55],"In":[56],"order":[57],"achieve":[59],"automatic":[60],"recognition,":[63],"deep":[64,147,199],"learning":[65,148],"methods,":[66],"such":[67,136],"as":[68,137,175],"CNN,":[69],"VGG,":[70],"Unet":[71],"etc.,":[72],"applied,":[74],"Currently":[75],"there":[76],"few":[78],"works":[79],"Qiantang":[86,94,120,160],"River,":[87,161],"Here,":[88],"one":[89],"major":[90],"challenge":[91],"for":[92,159],"high-precision":[93],"recognition":[97],"is":[98],"real":[100],"complex":[101],"features":[104,197],"complicated":[106],"geological":[107],"environment,":[108],"They":[109],"dense":[112],"distribution":[113],"small":[115],"bodies":[117],"Basin,":[122],"large":[123],"differences":[124],"nutrition,":[128],"high":[131],"complexity":[132],"surface":[134],"environments":[135],"mountains":[138],"plains,":[140],"We":[141],"investigated":[142],"two":[143],"several":[146],"found":[151],"that":[152,204],"WatNet":[153],"was":[154],"most":[156],"effective":[157],"model":[158,163],"This":[162],"adopts":[164],"structure":[166],"encoder-decoder":[169],"convolutional":[170],"network,":[171],"It":[172],"uses":[173,190],"MobileNetV2":[174],"encoder,":[177],"which":[178],"makes":[179],"extract":[181],"feature":[184],"information":[185],"while":[186],"being":[187],"lightweight":[188],"ASPP":[191],"module":[192],"capture":[194],"global":[195],"multi-scale":[196],"layers,":[200],"Experimental":[201],"results":[202],"show":[203],"MIoU":[206],"OA":[208],"(Overall":[209],"Accuracy)":[210],"can":[211],"reach":[212],"0.":[213,216],"97":[214],"99":[217],"respectively.":[218]},"counts_by_year":[],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
