Fast Compression and Access of LiDAR Point Clouds Using Wavelets
2009 (English)In: 2009 JOINT URBAN REMOTE SENSING EVENT, NEW YORK: IEEE , 2009, 718-723 p.Conference paper (Refereed)
To compress, access, visualize and analyze large 3D point clouds, they are often converted to Digital Surface Models, either as raster grids or Triangulated Irregular Networks. This paper proposes an approach, which works directly on the points as they were recorded during data capture. There is usually a strong correlation between successively recorded points. This correlation is used to compress the point clouds using wavelet transforms. The characteristics of wavelet coefficients are used to access areas of progressively higher resolution and quality. The detail coefficients can also be used for 3D analysis and reconstruction.
Place, publisher, year, edition, pages
NEW YORK: IEEE , 2009. 718-723 p.
3D analysis, 3D point cloud, Data capture, Detail coefficients, Digital surface models, Higher resolution, Point cloud, Strong correlation, Triangulated irregular networks, Wavelet coefficients, Clouds, Optical radar, Remote sensing, Wavelet transforms
IdentifiersURN: urn:nbn:se:kth:diva-30427DOI: 10.1109/URS.2009.5137589ISI: 000270972300123ScopusID: 2-s2.0-70350140204ISBN: 978-1-4244-3460-2OAI: oai:DiVA.org:kth-30427DiVA: diva2:400293
Joint Workshop on Urban Remote Sensing, Shanghai, PEOPLES R CHINA, MAY 20-22, 2009
QC 201102252011-02-252011-02-242011-02-25Bibliographically approved