{"id":"https://openalex.org/W4317515938","doi":"https://doi.org/10.1109/ccis57298.2022.10016397","title":"Remote Sensing Image River Segmentation Method Based on U-Net","display_name":"Remote Sensing Image River Segmentation Method Based on U-Net","publication_year":2022,"publication_date":"2022-11-26","ids":{"openalex":"https://openalex.org/W4317515938","doi":"https://doi.org/10.1109/ccis57298.2022.10016397"},"language":"en","primary_location":{"id":"doi:10.1109/ccis57298.2022.10016397","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/ccis57298.2022.10016397","pdf_url":null,"source":{"id":"https://openalex.org/S4363608348","display_name":"2022 IEEE 8th International Conference on Cloud Computing and Intelligent Systems (CCIS)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE 8th International Conference on Cloud Computing and Intelligent Systems (CCIS)","raw_type":"proceedings-article"},"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":"https://openalex.org/A5003131468","display_name":"Qiang Cai","orcid":"https://orcid.org/0000-0002-3865-9252"},"institutions":[{"id":"https://openalex.org/I179026463","display_name":"Beijing Technology and Business University","ror":"https://ror.org/013e0zm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I179026463"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Qiang Cai","raw_affiliation_strings":["Beijing Technology and Business University,School of Computer Science and Engineering,Beijing,China,100048","National Engineering Laboratory for Agri-product Quality Traceability","Beijing Key Laboratory of Big Data Technology for Food Safety"],"affiliations":[{"raw_affiliation_string":"Beijing Technology and Business University,School of Computer Science and Engineering,Beijing,China,100048","institution_ids":["https://openalex.org/I179026463"]},{"raw_affiliation_string":"National Engineering Laboratory for Agri-product Quality Traceability","institution_ids":[]},{"raw_affiliation_string":"Beijing Key Laboratory of Big Data Technology for Food Safety","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059915454","display_name":"Ruyi Wan","orcid":null},"institutions":[{"id":"https://openalex.org/I179026463","display_name":"Beijing Technology and Business University","ror":"https://ror.org/013e0zm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I179026463"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ruyi Wan","raw_affiliation_strings":["Beijing Technology and Business University,School of Computer Science and Engineering,Beijing,China,100048","Beijing Key Laboratory of Big Data Technology for Food Safety","National Engineering Laboratory for Agri-product Quality Traceability"],"affiliations":[{"raw_affiliation_string":"Beijing Technology and Business University,School of Computer Science and Engineering,Beijing,China,100048","institution_ids":["https://openalex.org/I179026463"]},{"raw_affiliation_string":"Beijing Key Laboratory of Big Data Technology for Food Safety","institution_ids":[]},{"raw_affiliation_string":"National Engineering Laboratory for Agri-product Quality Traceability","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108049287","display_name":"Haisheng Li","orcid":"https://orcid.org/0000-0003-4861-0513"},"institutions":[{"id":"https://openalex.org/I179026463","display_name":"Beijing Technology and Business University","ror":"https://ror.org/013e0zm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I179026463"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haisheng Li","raw_affiliation_strings":["Beijing Technology and Business University,School of Computer Science and Engineering,Beijing,China,100048","Beijing Key Laboratory of Big Data Technology for Food Safety","National Engineering Laboratory for Agri-product Quality Traceability"],"affiliations":[{"raw_affiliation_string":"Beijing Technology and Business University,School of Computer Science and Engineering,Beijing,China,100048","institution_ids":["https://openalex.org/I179026463"]},{"raw_affiliation_string":"Beijing Key Laboratory of Big Data Technology for Food Safety","institution_ids":[]},{"raw_affiliation_string":"National Engineering Laboratory for Agri-product Quality Traceability","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100337591","display_name":"Chen Wang","orcid":"https://orcid.org/0000-0002-5340-9737"},"institutions":[{"id":"https://openalex.org/I179026463","display_name":"Beijing Technology and Business University","ror":"https://ror.org/013e0zm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I179026463"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chen Wang","raw_affiliation_strings":["Beijing Technology and Business University,School of Computer Science and Engineering,Beijing,China,100048","National Engineering Laboratory for Agri-product Quality Traceability","Beijing Key Laboratory of Big Data Technology for Food Safety"],"affiliations":[{"raw_affiliation_string":"Beijing Technology and Business University,School of Computer Science and Engineering,Beijing,China,100048","institution_ids":["https://openalex.org/I179026463"]},{"raw_affiliation_string":"National Engineering Laboratory for Agri-product Quality Traceability","institution_ids":[]},{"raw_affiliation_string":"Beijing Key Laboratory of Big Data Technology for Food Safety","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5004433048","display_name":"Haodong Chang","orcid":null},"institutions":[{"id":"https://openalex.org/I179026463","display_name":"Beijing Technology and Business University","ror":"https://ror.org/013e0zm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I179026463"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haodong Chang","raw_affiliation_strings":["Beijing Technology and Business University,School of Computer Science and Engineering,Beijing,China,100048","Beijing Key Laboratory of Big Data Technology for Food Safety","National Engineering Laboratory for Agri-product Quality Traceability"],"affiliations":[{"raw_affiliation_string":"Beijing Technology and Business University,School of Computer Science and Engineering,Beijing,China,100048","institution_ids":["https://openalex.org/I179026463"]},{"raw_affiliation_string":"Beijing Key Laboratory of Big Data Technology for Food Safety","institution_ids":[]},{"raw_affiliation_string":"National Engineering Laboratory for Agri-product Quality Traceability","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5003131468"],"corresponding_institution_ids":["https://openalex.org/I179026463"],"apc_list":null,"apc_paid":null,"fwci":0.4647,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.63346105,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"215","last_page":"220"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10930","display_name":"Flood Risk Assessment and Management","score":0.9983000159263611,"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":0.9983000159263611,"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":0.9954000115394592,"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/T10577","display_name":"Hydrology and Sediment Transport Processes","score":0.978600025177002,"subfield":{"id":"https://openalex.org/subfields/2303","display_name":"Ecology"},"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/segmentation","display_name":"Segmentation","score":0.7106069326400757},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6696341037750244},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.6331008672714233},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.5861214995384216},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5468414425849915},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.48505109548568726},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.47361111640930176},{"id":"https://openalex.org/keywords/flood-myth","display_name":"Flood myth","score":0.47252824902534485},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.43399670720100403},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4271661341190338},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.37709859013557434},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3663269281387329},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.19604235887527466},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.16406118869781494},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09093528985977173}],"concepts":[{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7106069326400757},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6696341037750244},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.6331008672714233},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.5861214995384216},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5468414425849915},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.48505109548568726},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.47361111640930176},{"id":"https://openalex.org/C74256435","wikidata":"https://www.wikidata.org/wiki/Q134052","display_name":"Flood myth","level":2,"score":0.47252824902534485},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.43399670720100403},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4271661341190338},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.37709859013557434},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3663269281387329},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.19604235887527466},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.16406118869781494},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09093528985977173},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ccis57298.2022.10016397","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/ccis57298.2022.10016397","pdf_url":null,"source":{"id":"https://openalex.org/S4363608348","display_name":"2022 IEEE 8th International Conference on Cloud Computing and Intelligent Systems (CCIS)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE 8th International Conference on Cloud Computing and Intelligent Systems (CCIS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5899999737739563,"id":"https://metadata.un.org/sdg/13","display_name":"Climate action"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321793","display_name":"Beijing Municipal Education Commission","ror":"https://ror.org/04bpn6s66"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W1975845037","https://openalex.org/W1986799925","https://openalex.org/W2037848140","https://openalex.org/W2054690521","https://openalex.org/W2088065042","https://openalex.org/W2194775991","https://openalex.org/W2307094448","https://openalex.org/W2565892345","https://openalex.org/W2907508577","https://openalex.org/W2964051148","https://openalex.org/W2995801068","https://openalex.org/W3046220160","https://openalex.org/W3104818455","https://openalex.org/W3166160633","https://openalex.org/W3168997536"],"related_works":["https://openalex.org/W3020755331","https://openalex.org/W2394377911","https://openalex.org/W63519562","https://openalex.org/W4386724243","https://openalex.org/W4388268408","https://openalex.org/W4387816319","https://openalex.org/W2016618709","https://openalex.org/W4380088563","https://openalex.org/W4220728969","https://openalex.org/W1522196789"],"abstract_inverted_index":{"River":[0],"segmentation":[1,56,93,108],"based":[2,110],"on":[3,111,155,168],"remote":[4,26,42,96],"sensing":[5,27,43,97],"images":[6,28,98],"plays":[7],"an":[8],"important":[9],"role":[10],"in":[11,94],"water":[12,16],"conservancy":[13],"business":[14],"work,":[15,19],"wading":[17],"monitoring":[18],"and":[20,37,62,79,87,101,103,122,161],"flood":[21],"disaster":[22],"prevention.":[23],"In":[24],"actual":[25],"of":[29,32,50,116,133,151,164],"rivers,":[30],"most":[31],"the":[33,48,67,74,114,117,120,129,134,149,152,156,162,165,169],"backgrounds":[34],"are":[35],"complex,":[36],"there":[38],"is":[39],"no":[40],"public":[41],"image":[44],"dataset":[45,158,171],"specifically":[46],"for":[47,91],"study":[49],"river":[51,55,92,107,142],"segmentation.":[52],"The":[53,145],"traditional":[54],"methods":[57],"have":[58],"rough":[59],"edge":[60,143],"information":[61],"serious":[63],"noise.":[64],"To":[65],"solve":[66],"above":[68],"problems,":[69],"this":[70],"paper":[71],"firstly":[72],"preprocesses":[73],"Gaofen":[75],"Image":[76,82],"Dataset":[77,85],"(GID)":[78],"Remote":[80],"Sensing":[81],"Block":[83],"Segmentation":[84],"(BDCI),":[86],"creates":[88],"two":[89],"datasets":[90],"high-resolution":[95],"respectively":[99],"(GID-river":[100],"BDCI-river)":[102],"then":[104],"proposed":[105],"a":[106],"method":[109],"U-Net.":[112],"On":[113],"basis":[115],"original":[118],"U-Net,":[119],"ResNet34":[121],"VGG16":[123],"structures":[124],"were":[125],"combined":[126],"to":[127,138],"strengthen":[128],"feature":[130],"extraction":[131],"ability":[132],"network,":[135],"so":[136],"as":[137],"achieve":[139],"more":[140],"accurate":[141],"details.":[144],"experimental":[146],"results":[147],"shows":[148],"mIoU":[150],"ResNet34-UNet":[153],"network":[154,167],"GID-river":[157],"reaches":[159,172],"93.6%,":[160],"mPA":[163],"VGG16-UNet":[166],"BDCI-river":[170],"82.1%.":[173]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2025-12-24T23:09:58.560324","created_date":"2025-10-10T00:00:00"}