{"id":"https://openalex.org/W2795293625","doi":"https://doi.org/10.1109/tgrs.2018.2814012","title":"Deriving Bathymetry From Optical Images With a Localized Neural Network Algorithm","display_name":"Deriving Bathymetry From Optical Images With a Localized Neural Network Algorithm","publication_year":2018,"publication_date":"2018-03-27","ids":{"openalex":"https://openalex.org/W2795293625","doi":"https://doi.org/10.1109/tgrs.2018.2814012","mag":"2795293625"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2018.2814012","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2018.2814012","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"is_oa":false,"is_in_doaj":false,"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 Transactions on Geoscience and Remote Sensing","raw_type":"journal-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/A5100449803","display_name":"Shan Liu","orcid":"https://orcid.org/0000-0002-8040-0367"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Shan Liu","raw_affiliation_strings":["University of Electronic Science and Technology of China, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043458048","display_name":"Lei Wang","orcid":"https://orcid.org/0000-0003-1298-4839"},"institutions":[{"id":"https://openalex.org/I121820613","display_name":"Louisiana State University","ror":"https://ror.org/05ect4e57","country_code":"US","type":"education","lineage":["https://openalex.org/I121820613"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Lei Wang","raw_affiliation_strings":["Department of Geography and Anthropology, Louisiana State University, Baton Rouge, LA, USA"],"affiliations":[{"raw_affiliation_string":"Department of Geography and Anthropology, Louisiana State University, Baton Rouge, LA, USA","institution_ids":["https://openalex.org/I121820613"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101778436","display_name":"Hongxing Liu","orcid":"https://orcid.org/0000-0002-2418-3636"},"institutions":[{"id":"https://openalex.org/I63135867","display_name":"University of Cincinnati","ror":"https://ror.org/01e3m7079","country_code":"US","type":"education","lineage":["https://openalex.org/I63135867"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hongxing Liu","raw_affiliation_strings":["Department of Geography, University of Cincinnati, Cincinnati, OH, USA"],"affiliations":[{"raw_affiliation_string":"Department of Geography, University of Cincinnati, Cincinnati, OH, USA","institution_ids":["https://openalex.org/I63135867"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087123513","display_name":"Haibin Su","orcid":"https://orcid.org/0000-0002-3645-2047"},"institutions":[{"id":"https://openalex.org/I181414168","display_name":"Texas A&M University \u2013 Kingsville","ror":"https://ror.org/05abs3w97","country_code":"US","type":"education","lineage":["https://openalex.org/I181414168"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Haibin Su","raw_affiliation_strings":["Department of Physics and Geosciences, Texas A&M University, Kingsville, TX, USA"],"affiliations":[{"raw_affiliation_string":"Department of Physics and Geosciences, Texas A&M University, Kingsville, TX, USA","institution_ids":["https://openalex.org/I181414168"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100382146","display_name":"Xiaolu Li","orcid":"https://orcid.org/0000-0002-8299-7937"},"institutions":[{"id":"https://openalex.org/I142108993","display_name":"Southwest University","ror":"https://ror.org/01kj4z117","country_code":"CN","type":"education","lineage":["https://openalex.org/I142108993"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaolu Li","raw_affiliation_strings":["School of Geographical Sciences, Southwest University, Chongqing, China"],"affiliations":[{"raw_affiliation_string":"School of Geographical Sciences, Southwest University, Chongqing, China","institution_ids":["https://openalex.org/I142108993"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5062384828","display_name":"Wenfeng Zheng","orcid":"https://orcid.org/0000-0002-8486-1654"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenfeng Zheng","raw_affiliation_strings":["University of Electronic Science and Technology of China, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5100449803"],"corresponding_institution_ids":["https://openalex.org/I150229711"],"apc_list":null,"apc_paid":null,"fwci":3.6233,"has_fulltext":false,"cited_by_count":77,"citation_normalized_percentile":{"value":0.92396889,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":100},"biblio":{"volume":"56","issue":"9","first_page":"5334","last_page":"5342"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9976000189781189,"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"}},"topics":[{"id":"https://openalex.org/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9976000189781189,"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/T11490","display_name":"Hydrological Forecasting Using AI","score":0.9824000000953674,"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/T10770","display_name":"Soil Geostatistics and Mapping","score":0.9787999987602234,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.7579447031021118},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6450521945953369},{"id":"https://openalex.org/keywords/bathymetry","display_name":"Bathymetry","score":0.6224059462547302},{"id":"https://openalex.org/keywords/inversion","display_name":"Inversion (geology)","score":0.5248572826385498},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5231472253799438},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4644565284252167},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.456811785697937},{"id":"https://openalex.org/keywords/backpropagation","display_name":"Backpropagation","score":0.44963523745536804},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.44115781784057617},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4209463894367218},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.16371268033981323},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.14982035756111145},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.12470105290412903}],"concepts":[{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.7579447031021118},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6450521945953369},{"id":"https://openalex.org/C174943157","wikidata":"https://www.wikidata.org/wiki/Q810826","display_name":"Bathymetry","level":2,"score":0.6224059462547302},{"id":"https://openalex.org/C1893757","wikidata":"https://www.wikidata.org/wiki/Q3653001","display_name":"Inversion (geology)","level":3,"score":0.5248572826385498},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5231472253799438},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4644565284252167},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.456811785697937},{"id":"https://openalex.org/C155032097","wikidata":"https://www.wikidata.org/wiki/Q798503","display_name":"Backpropagation","level":3,"score":0.44963523745536804},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.44115781784057617},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4209463894367218},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.16371268033981323},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.14982035756111145},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.12470105290412903},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","level":1,"score":0.0},{"id":"https://openalex.org/C109007969","wikidata":"https://www.wikidata.org/wiki/Q749565","display_name":"Structural basin","level":2,"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":3,"locations":[{"id":"doi:10.1109/tgrs.2018.2814012","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2018.2814012","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"is_oa":false,"is_in_doaj":false,"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 Transactions on Geoscience and Remote Sensing","raw_type":"journal-article"},{"id":"pmh:oai:digitalcommons.lsu.edu:geoanth_pubs-1294","is_oa":false,"landing_page_url":"https://digitalcommons.lsu.edu/geoanth_pubs/294","pdf_url":null,"source":{"id":"https://openalex.org/S4210169993","display_name":"Civil War Book Review","issn_l":"1528-6592","issn":["1528-6592"],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310315936","host_organization_name":"Louisiana State University","host_organization_lineage":["https://openalex.org/P4310315936"],"host_organization_lineage_names":["Louisiana State University"],"type":"journal"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Faculty Publications","raw_type":"text"},{"id":"pmh:oai:repository.lsu.edu:geoanth_pubs-1294","is_oa":false,"landing_page_url":"https://repository.lsu.edu/geoanth_pubs/294","pdf_url":null,"source":{"id":"https://openalex.org/S4210169993","display_name":"Civil War Book Review","issn_l":"1528-6592","issn":["1528-6592"],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310315936","host_organization_name":"Louisiana State University","host_organization_lineage":["https://openalex.org/P4310315936"],"host_organization_lineage_names":["Louisiana State University"],"type":"journal"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Faculty Publications","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Clean water and sanitation","score":0.8500000238418579,"id":"https://metadata.un.org/sdg/6"}],"awards":[{"id":"https://openalex.org/G3029528117","display_name":null,"funder_award_id":"ZYGX2016J101","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"}],"funders":[{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W127928604","https://openalex.org/W1569512666","https://openalex.org/W1599043334","https://openalex.org/W1645816215","https://openalex.org/W1965275570","https://openalex.org/W1975373443","https://openalex.org/W1977765960","https://openalex.org/W1989157112","https://openalex.org/W1992543912","https://openalex.org/W2001359375","https://openalex.org/W2004804317","https://openalex.org/W2027165049","https://openalex.org/W2032904874","https://openalex.org/W2047120335","https://openalex.org/W2050175954","https://openalex.org/W2060475634","https://openalex.org/W2061086178","https://openalex.org/W2079454091","https://openalex.org/W2105012295","https://openalex.org/W2152686492","https://openalex.org/W2171375275","https://openalex.org/W4255651886","https://openalex.org/W6605164400"],"related_works":["https://openalex.org/W4391311960","https://openalex.org/W2793357704","https://openalex.org/W4386617716","https://openalex.org/W2184765375","https://openalex.org/W3152163876","https://openalex.org/W773765100","https://openalex.org/W4313058144","https://openalex.org/W2622615123","https://openalex.org/W2738763808","https://openalex.org/W2351842833"],"abstract_inverted_index":{"We":[0,106],"present":[1],"a":[2,21,52,175],"localized":[3],"neural":[4,25,32,152],"network":[5,26,96],"algorithm":[6],"for":[7],"water":[8,82,179],"depth":[9,61,83,180],"estimation":[10],"from":[11,56,86,182],"optical":[12,183],"remote":[13],"sensing":[14],"images.":[15,184],"Our":[16],"new":[17],"model":[18,111,116,173],"is":[19,126,145,174],"called":[20],"locally":[22],"adaptive":[23],"back-propagation":[24,95],"(LABPNN).":[27],"In":[28],"an":[29,65],"LABPNN,":[30,45],"the":[31,57,77,87,93,101,109,113,118,132,140,148,157,161,171],"networks":[33,153],"were":[34,49],"trained":[35],"at":[36],"regularly":[37],"distributed":[38],"normative":[39,58],"sites.":[40,59],"For":[41],"each":[42],"unit":[43],"of":[44,67,79,100,124,147,151,156],"training":[46],"data":[47,163],"samples":[48,102],"identified":[50],"by":[51,64,73,128],"specified":[53],"search":[54],"radius":[55],"Water":[60],"was":[62],"estimated":[63],"ensemble":[66],"LABPNNs,":[68],"with":[69,112,117],"weights":[70],"assigned":[71],"inversely":[72],"their":[74],"distances":[75],"to":[76,92,178],"point":[78],"estimation.":[80],"The":[81,121,167],"prediction":[84,122],"accuracy":[85],"LABPNN":[88,110,125,172],"models":[89,159],"doubled":[90],"compared":[91,108],"regular":[94],"that":[97,155,170],"uses":[98],"all":[99],"without":[103],"considering":[104],"nonstationarity.":[105],"also":[107],"regression-based":[114],"inversion":[115],"localization":[119],"feature.":[120],"error":[123],"less":[127,138],"about":[129],"5%":[130],"in":[131,139],"first":[133],"case":[134,142],"study,":[135],"and":[136],"7%":[137],"second":[141],"study.":[143],"It":[144],"because":[146],"better":[149],"performance":[150],"than":[154],"regression":[158],"when":[160],"sample":[162],"are":[164],"relatively":[165],"sparse.":[166],"experiments":[168],"suggest":[169],"viable":[176],"solution":[177],"retrieval":[181]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":10},{"year":2024,"cited_by_count":9},{"year":2023,"cited_by_count":10},{"year":2022,"cited_by_count":18},{"year":2021,"cited_by_count":21},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":1}],"updated_date":"2026-04-07T14:57:38.498316","created_date":"2025-10-10T00:00:00"}
