{"id":"https://openalex.org/W2592875558","doi":"https://doi.org/10.1109/escience.2016.7870931","title":"The IQmulus high volume fusion and analysis platform for Geospatial Point Clouds, featuring a marine bathymetry use case","display_name":"The IQmulus high volume fusion and analysis platform for Geospatial Point Clouds, featuring a marine bathymetry use case","publication_year":2016,"publication_date":"2016-10-01","ids":{"openalex":"https://openalex.org/W2592875558","doi":"https://doi.org/10.1109/escience.2016.7870931","mag":"2592875558"},"language":"en","primary_location":{"id":"doi:10.1109/escience.2016.7870931","is_oa":false,"landing_page_url":"https://doi.org/10.1109/escience.2016.7870931","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE 12th International Conference on e-Science (e-Science)","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/A5011020389","display_name":"Quillon Harpham","orcid":"https://orcid.org/0000-0003-4252-8244"},"institutions":[{"id":"https://openalex.org/I2802260906","display_name":"HR Wallingford","ror":"https://ror.org/00nxna028","country_code":"GB","type":"facility","lineage":["https://openalex.org/I2802260906"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Quillon Harpham","raw_affiliation_strings":["Hydrodynamics and Metocean Group, HR Wallingford, Wallingford, United Kingdom"],"affiliations":[{"raw_affiliation_string":"Hydrodynamics and Metocean Group, HR Wallingford, Wallingford, United Kingdom","institution_ids":["https://openalex.org/I2802260906"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5011020389"],"corresponding_institution_ids":["https://openalex.org/I2802260906"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.22180451,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"431","last_page":"431"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12698","display_name":"3D Modeling in Geospatial Applications","score":0.883899986743927,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12698","display_name":"3D Modeling in Geospatial Applications","score":0.883899986743927,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.7567999958992004,"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/point-cloud","display_name":"Point cloud","score":0.7201807498931885},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6806456446647644},{"id":"https://openalex.org/keywords/workflow","display_name":"Workflow","score":0.6657909154891968},{"id":"https://openalex.org/keywords/geospatial-analysis","display_name":"Geospatial analysis","score":0.6485952734947205},{"id":"https://openalex.org/keywords/bathymetry","display_name":"Bathymetry","score":0.578421413898468},{"id":"https://openalex.org/keywords/lidar","display_name":"Lidar","score":0.5125253200531006},{"id":"https://openalex.org/keywords/mobile-mapping","display_name":"Mobile mapping","score":0.4984700679779053},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.49528613686561584},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.4804689288139343},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.46793505549430847},{"id":"https://openalex.org/keywords/data-visualization","display_name":"Data visualization","score":0.41811349987983704},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.40252605080604553},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.39641791582107544},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.22234559059143066},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.21880269050598145},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.17926383018493652},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.12345045804977417}],"concepts":[{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.7201807498931885},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6806456446647644},{"id":"https://openalex.org/C177212765","wikidata":"https://www.wikidata.org/wiki/Q627335","display_name":"Workflow","level":2,"score":0.6657909154891968},{"id":"https://openalex.org/C9770341","wikidata":"https://www.wikidata.org/wiki/Q1938983","display_name":"Geospatial analysis","level":2,"score":0.6485952734947205},{"id":"https://openalex.org/C174943157","wikidata":"https://www.wikidata.org/wiki/Q810826","display_name":"Bathymetry","level":2,"score":0.578421413898468},{"id":"https://openalex.org/C51399673","wikidata":"https://www.wikidata.org/wiki/Q504027","display_name":"Lidar","level":2,"score":0.5125253200531006},{"id":"https://openalex.org/C2776821279","wikidata":"https://www.wikidata.org/wiki/Q2293902","display_name":"Mobile mapping","level":3,"score":0.4984700679779053},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.49528613686561584},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.4804689288139343},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.46793505549430847},{"id":"https://openalex.org/C172367668","wikidata":"https://www.wikidata.org/wiki/Q6504956","display_name":"Data visualization","level":3,"score":0.41811349987983704},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.40252605080604553},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.39641791582107544},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.22234559059143066},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.21880269050598145},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.17926383018493652},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.12345045804977417},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/escience.2016.7870931","is_oa":false,"landing_page_url":"https://doi.org/10.1109/escience.2016.7870931","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE 12th International Conference on e-Science (e-Science)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4391311960","https://openalex.org/W2793357704","https://openalex.org/W4386617716","https://openalex.org/W3039299368","https://openalex.org/W3083006002","https://openalex.org/W4378194305","https://openalex.org/W3161266721","https://openalex.org/W1980655679","https://openalex.org/W4379793640","https://openalex.org/W4378190143"],"abstract_inverted_index":{"Summary":[0],"form":[1],"only":[2],"given.":[3],"New":[4],"data":[5,21,56,72,234],"acquisition":[6,66],"techniques":[7,161,242],"are":[8,11,35],"emerging":[9],"and":[10,15,24,31,80,101,103,109,113,120,157,186,188,276],"providing":[12,57],"a":[13,68,133,139,170,205,246,253,269],"fast":[14],"efficient":[16],"means":[17],"for":[18,38,104,126,162,255],"multidimensional":[19],"spatial":[20],"collection.":[22],"Single":[23],"multi-beam":[25],"echo-sounders,":[26],"airborne":[27],"LIDAR,":[28],"SAR":[29],"satellites":[30],"mobile":[32],"mapping":[33],"systems":[34,47],"increasingly":[36],"used":[37],"the":[39,43,158,167,223,239,280,292],"digital":[40],"reconstruction":[41],"of":[42,61,71,99,135,146,176,178,198,222,229,233,263,286,295],"environment.":[44],"All":[45],"these":[46,65,163,288],"provide":[48],"point":[49,130],"clouds,":[50,131],"often":[51,77],"enriched":[52],"with":[53,191,252,268],"other":[54,193],"sensor":[55],"extremely":[58],"high":[59,117,154],"volumes":[60],"raw":[62],"data.":[63,226],"With":[64],"approaches,":[67],"great":[69],"deal":[70],"is":[73,169,299],"collected,":[74],"but":[75],"it":[76],"requires":[78],"harmonisation":[79],"integration":[81],"before":[82],"reaching":[83],"its":[84,230],"maximum":[85],"use":[86,105],"potential.":[87],"Use":[88],"cases":[89],"include":[90,144],"supporting":[91],"numerical":[92],"modelling":[93,107],"on":[94,138],"land":[95],"such":[96,128,245],"as":[97],"simulations":[98],"flooding":[100],"drought,":[102],"in":[106,111,166],"waves":[108],"flow":[110],"seas":[112],"oceans.":[114],"The":[115,249],"IQmulus":[116],"volume":[118],"fusion":[119],"analysis":[121],"platform":[122],"offers":[123],"an":[124,216],"architecture":[125],"processing":[127],"geospatial":[129],"through":[132,301],"set":[134],"pre-defined":[136],"workflows,":[137],"cloud":[140],"infrastructure.":[141],"Workflow":[142],"elements":[143],"deconfliction":[145,241],"spatially":[147,185],"overlapping":[148,266],"data,":[149],"spline":[150,261],"interpolation":[151,262],"to":[152,173,208,211,214,243,278],"create":[153,215,279],"precision":[155],"surfaces":[156],"latest":[159,240],"visualisation":[160,294],"datasets.":[164],"Featured":[165],"presentation":[168],"workflow":[171,250],"designed":[172],"process":[174],"collections":[175],"surveys":[177,182,204],"water":[179,199],"depth.":[180],"Individual":[181],"vary":[183],"both":[184],"temporally":[187],"can":[189,290],"overlap":[190],"many":[192],"similar":[194],"surveys.":[195],"Where":[196],"measurements":[197],"depth":[200],"differ":[201],"greatly":[202],"between":[203],"strategy":[206],"needs":[207],"be":[209],"employed":[210],"determine":[212],"how":[213,287],"optimal":[217],"bathymetric":[218],"surface":[219],"using":[220],"all":[221],"relevant,":[224],"available":[225],"As":[227],"part":[228],"SeaZone":[231],"suite":[232],"products,":[235],"HR":[236,302],"Wallingford":[237],"employs":[238],"produce":[244],"`best'":[247],"surface.":[248,283],"begins":[251],"methodology":[254],"prioritising":[256],"individual":[257],"surveys,":[258],"followed":[259],"by":[260],"adjacent":[264],"or":[265],"datasets":[267,289],"potentially":[270],"parallel":[271],"implementation":[272],"which":[273],"includes":[274],"tiling":[275],"stitching":[277],"final":[281],"completed":[282],"An":[284],"example":[285],"support":[291],"immersive":[293],"civil":[296],"engineering":[297],"applications":[298],"shown":[300],"Wallingford's":[303],"advanced":[304],"Ship":[305],"Simulation":[306],"Centre.":[307]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}