{"id":"https://openalex.org/W2157253799","doi":"https://doi.org/10.1109/tgrs.2014.2372787","title":"Integration of Hyperspectral Imagery and Sparse Sonar Data for Shallow Water Bathymetry Mapping","display_name":"Integration of Hyperspectral Imagery and Sparse Sonar Data for Shallow Water Bathymetry Mapping","publication_year":2015,"publication_date":"2015-01-06","ids":{"openalex":"https://openalex.org/W2157253799","doi":"https://doi.org/10.1109/tgrs.2014.2372787","mag":"2157253799"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2014.2372787","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2014.2372787","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/A5101910670","display_name":"Liang Cheng","orcid":"https://orcid.org/0000-0002-4491-6681"},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Liang Cheng","raw_affiliation_strings":["Jiangsu Provincial Key Laboratory of Geographic Information Science and Technology, Nanjing University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"Jiangsu Provincial Key Laboratory of Geographic Information Science and Technology, Nanjing University, Nanjing, China","institution_ids":["https://openalex.org/I881766915"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019785137","display_name":"Lei Ma","orcid":"https://orcid.org/0000-0002-8331-7200"},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lei Ma","raw_affiliation_strings":["Jiangsu Provincial Key Laboratory of Geographic Information Science and Technology, Nanjing University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"Jiangsu Provincial Key Laboratory of Geographic Information Science and Technology, Nanjing University, Nanjing, China","institution_ids":["https://openalex.org/I881766915"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100897238","display_name":"Wenting Cai","orcid":null},"institutions":[{"id":"https://openalex.org/I4210137144","display_name":"Guangdong Hydropower Planning & Design Institute","ror":"https://ror.org/03bkmgf03","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210137144"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenting Cai","raw_affiliation_strings":["Guangdong Electric Power Design Institute, Guangdong, China"],"affiliations":[{"raw_affiliation_string":"Guangdong Electric Power Design Institute, Guangdong, China","institution_ids":["https://openalex.org/I4210137144"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061713035","display_name":"Lihua Tong","orcid":null},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lihua Tong","raw_affiliation_strings":["Jiangsu Provincial Key Laboratory of Geographic Information Science and Technology, Nanjing University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"Jiangsu Provincial Key Laboratory of Geographic Information Science and Technology, Nanjing University, Nanjing, China","institution_ids":["https://openalex.org/I881766915"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101469340","display_name":"Manchun Li","orcid":null},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Manchun Li","raw_affiliation_strings":["Jiangsu Provincial Key Laboratory of Geographic Information Science and Technology, Nanjing University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"Jiangsu Provincial Key Laboratory of Geographic Information Science and Technology, Nanjing University, Nanjing, China","institution_ids":["https://openalex.org/I881766915"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100690406","display_name":"Peijun Du","orcid":"https://orcid.org/0000-0002-2488-2656"},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Peijun Du","raw_affiliation_strings":["Jiangsu Provincial Key Laboratory of Geographic Information Science and Technology, Nanjing University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"Jiangsu Provincial Key Laboratory of Geographic Information Science and Technology, Nanjing University, Nanjing, China","institution_ids":["https://openalex.org/I881766915"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5101910670"],"corresponding_institution_ids":["https://openalex.org/I881766915"],"apc_list":null,"apc_paid":null,"fwci":1.1651,"has_fulltext":false,"cited_by_count":27,"citation_normalized_percentile":{"value":0.79037886,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"53","issue":"6","first_page":"3235","last_page":"3249"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9962999820709229,"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":0.9962999820709229,"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/T11698","display_name":"Underwater Acoustics Research","score":0.9962000250816345,"subfield":{"id":"https://openalex.org/subfields/1910","display_name":"Oceanography"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9918000102043152,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/bathymetry","display_name":"Bathymetry","score":0.8614656925201416},{"id":"https://openalex.org/keywords/sonar","display_name":"Sonar","score":0.8460161089897156},{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.7276374101638794},{"id":"https://openalex.org/keywords/interpolation","display_name":"Interpolation (computer graphics)","score":0.6478893756866455},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6142920851707458},{"id":"https://openalex.org/keywords/reduction","display_name":"Reduction (mathematics)","score":0.5085386037826538},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4920446574687958},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.4778975248336792},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4350891709327698},{"id":"https://openalex.org/keywords/multispectral-image","display_name":"Multispectral image","score":0.4163430631160736},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.381112277507782},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.32340285181999207},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.29100191593170166},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.21342796087265015}],"concepts":[{"id":"https://openalex.org/C174943157","wikidata":"https://www.wikidata.org/wiki/Q810826","display_name":"Bathymetry","level":2,"score":0.8614656925201416},{"id":"https://openalex.org/C555745239","wikidata":"https://www.wikidata.org/wiki/Q133220","display_name":"Sonar","level":2,"score":0.8460161089897156},{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.7276374101638794},{"id":"https://openalex.org/C137800194","wikidata":"https://www.wikidata.org/wiki/Q11713455","display_name":"Interpolation (computer graphics)","level":3,"score":0.6478893756866455},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6142920851707458},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.5085386037826538},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4920446574687958},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.4778975248336792},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4350891709327698},{"id":"https://openalex.org/C173163844","wikidata":"https://www.wikidata.org/wiki/Q1761440","display_name":"Multispectral image","level":2,"score":0.4163430631160736},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.381112277507782},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.32340285181999207},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.29100191593170166},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.21342796087265015},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tgrs.2014.2372787","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2014.2372787","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"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Life below water","id":"https://metadata.un.org/sdg/14","score":0.6499999761581421}],"awards":[{"id":"https://openalex.org/G3789058657","display_name":null,"funder_award_id":"41371017","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5751078593","display_name":null,"funder_award_id":"41 001238","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/F4320322720","display_name":"Southwest Jiaotong University","ror":"https://ror.org/00hn7w693"},{"id":"https://openalex.org/F4320323711","display_name":"Southwest University","ror":"https://ror.org/01kj4z117"},{"id":"https://openalex.org/F4320324116","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17"},{"id":"https://openalex.org/F4320324852","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":62,"referenced_works":["https://openalex.org/W34470117","https://openalex.org/W39788813","https://openalex.org/W151509150","https://openalex.org/W331016859","https://openalex.org/W1554511749","https://openalex.org/W1578196132","https://openalex.org/W1965671380","https://openalex.org/W1968180959","https://openalex.org/W1984076104","https://openalex.org/W1990591294","https://openalex.org/W1996213136","https://openalex.org/W2000984972","https://openalex.org/W2001141328","https://openalex.org/W2004804317","https://openalex.org/W2005106632","https://openalex.org/W2013051270","https://openalex.org/W2014399341","https://openalex.org/W2019338222","https://openalex.org/W2026856211","https://openalex.org/W2037245714","https://openalex.org/W2047133613","https://openalex.org/W2053186076","https://openalex.org/W2059238088","https://openalex.org/W2060856163","https://openalex.org/W2061086178","https://openalex.org/W2063385051","https://openalex.org/W2065731335","https://openalex.org/W2077383231","https://openalex.org/W2077409924","https://openalex.org/W2082864892","https://openalex.org/W2089055951","https://openalex.org/W2091382169","https://openalex.org/W2094973654","https://openalex.org/W2095309617","https://openalex.org/W2106295728","https://openalex.org/W2107301689","https://openalex.org/W2120375388","https://openalex.org/W2133854648","https://openalex.org/W2134935984","https://openalex.org/W2156718197","https://openalex.org/W2157262629","https://openalex.org/W2157414910","https://openalex.org/W2164720626","https://openalex.org/W2165669413","https://openalex.org/W2167267197","https://openalex.org/W2168707907","https://openalex.org/W2169939759","https://openalex.org/W2171375275","https://openalex.org/W2171858547","https://openalex.org/W2579594096","https://openalex.org/W2920985420","https://openalex.org/W2921636359","https://openalex.org/W3015358563","https://openalex.org/W3028349199","https://openalex.org/W4239577128","https://openalex.org/W4285719527","https://openalex.org/W4403552115","https://openalex.org/W6680150360","https://openalex.org/W6682755970","https://openalex.org/W6683202423","https://openalex.org/W6684483732","https://openalex.org/W6778575844"],"related_works":["https://openalex.org/W2072166414","https://openalex.org/W4391311960","https://openalex.org/W2793357704","https://openalex.org/W2022304901","https://openalex.org/W2018850895","https://openalex.org/W1987483041","https://openalex.org/W2988577871","https://openalex.org/W4391030644","https://openalex.org/W4205174160","https://openalex.org/W1993199764"],"abstract_inverted_index":{"Accurate":[0],"and":[1,32,47,69,127,130,149],"rapid":[2],"mapping":[3,27],"of":[4,14,44,49,75,106,123],"shallow":[5,24],"water":[6,25],"bathymetry":[7,26,159],"is":[8,165],"essential":[9],"for":[10,72],"the":[11,104,107,116,121,124,158,162],"safe":[12],"operation":[13],"many":[15],"industries.":[16],"Here,":[17],"we":[18,54,79],"propose":[19,55],"a":[20,56,60,81,90],"new":[21,57,82],"approach":[22,37],"to":[23,84,119],"that":[28,169],"integrates":[29],"hyperspectral":[30],"image":[31],"sparse":[33,50,86],"sonar":[34,51,87],"data.":[35,52],"Our":[36],"includes":[38],"two":[39],"main":[40],"steps:":[41],"dimensional":[42,73,108,125,139,144],"reduction":[43,74,109,126,140],"Hyperion":[45,76],"images":[46],"interpolation":[48,128,173],"First,":[53],"algorithm,":[58],"i.e.,":[59],"sonar-based":[61],"semisupervised":[62,150],"Laplacian":[63],"eigenmap":[64],"(LE)":[65],"using":[66,89,161,171],"both":[67],"spatial":[68],"spectral":[70,155],"distance,":[71],"imagery.":[77],"Second,":[78],"develop":[80],"algorithm":[83],"interpolate":[85],"points":[88],"3-D":[91],"information":[92],"diffusion":[93],"method":[94,141,148,152,164],"with":[95],"homogeneous":[96,99],"regions.":[97],"These":[98],"regions":[100],"are":[101],"derived":[102],"from":[103],"segmentation":[105],"results":[110,145],"based":[111],"on":[112],"depth.":[113],"We":[114],"conduct":[115],"experimental":[117],"comparison":[118],"confirm":[120],"applicability":[122],"methods":[129],"their":[131],"advantages":[132],"over":[133],"previously":[134],"described":[135],"methods.":[136,174],"The":[137],"proposed":[138,163],"achieves":[142],"better":[143],"than":[146,168],"unsupervised":[147],"LE":[151],"(using":[153],"only":[154],"distance).":[156],"Furthermore,":[157],"retrieved":[160,170],"more":[166],"precise":[167],"common":[172]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":4},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":4}],"updated_date":"2026-03-24T08:02:53.985720","created_date":"2025-10-10T00:00:00"}