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dc.contributor.authorBenger, Werner
dc.contributor.authorLeimer, Wolfgang
dc.contributor.authorBaran, Ramona
dc.contributor.editorSkala, Václav
dc.date.accessioned2020-07-24T08:25:39Z
dc.date.available2020-07-24T08:25:39Z
dc.date.issued2020
dc.identifier.citationJournal of WSCG. 2020, vol. 28, no. 1-2, p.177-186.en
dc.identifier.issn1213-6972 (print)
dc.identifier.issn1213-6980 (CD-ROM)
dc.identifier.issn1213-6964 (on-line)
dc.identifier.urihttp://wscg.zcu.cz/WSCG2020/2020-J_WSCG-1-2.pdf
dc.identifier.urihttp://hdl.handle.net/11025/38440
dc.format10 s.cs
dc.format.mimetypeapplication/pdf
dc.language.isoenen
dc.publisherVáclav Skala - UNION Agencycs
dc.relation.ispartofseriesJournal of WSCGen
dc.rights© Václav Skala - UNION Agencycs
dc.subjectLIDARcs
dc.subjectvizuální analýzacs
dc.subjectzpracování datcs
dc.subjectgeovědacs
dc.subjectbatymetriecs
dc.subjectvědecká vizualizacecs
dc.subjectvelká datacs
dc.subjectGPU shaderycs
dc.titleVisualizing Massive Pristine LIDAR Amplitude Responsesen
dc.typečlánekcs
dc.typearticleen
dc.rights.accessopenAccessen
dc.type.versionpublishedVersionen
dc.description.abstract-translatedAirborne light detection and ranging (LIDAR)- based bathymetry is a highly specialized field within the widely known and used geoscientific surveying technology based on green spectrum lasers. Green light can penetrate shallow water bodies such that river and lake beds can be surveyed. The result of such observations are point clouds, from which geometries are extracted, such as digital elevation maps for lake, river or sea floors. The quality of those maps is crucially dependent on the amount of reliable information that can be extracted from the noisy LIDAR signals. The primary LIDAR data consists of amplitude response curves for each emitted laser signal. A direct visualization of these “raw”, pristine data is crucial to verify, assess and optimize subsequent data processing and reduction methods. In this article we present a method for scientific visualization of these amplitude response curves en mass, i.e. for millions and tens of millions thereof simultaneously. As part of this direct visualization also preliminary analysis and data reduction operations can be performed interactively. This primary and direct inspection allows studying and evaluating the full potential of acquired data sets such that data processing methods can be fine-tuned to squeeze out all needed information of interest. Ideally such improved data processing avoids subsequent surveying when output from already measured data sets is improved, resulting in reduced economical and environmental costs.en
dc.subject.translatedLIDARen
dc.subject.translatedvisual analysisen
dc.subject.translateddata processingen
dc.subject.translatedgeoscienceen
dc.subject.translatedbathymetryen
dc.subject.translatedscientific visualizationen
dc.subject.translatedbig dataen
dc.subject.translatedGPU shadersen
dc.identifier.doihttps://doi.org/10.24132/JWSCG.2020.28.22
dc.type.statusPeer-revieweden
Appears in Collections:Volume 28, Number 1-2 (2020)

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