
Proceedings Paper
Predicted bathymetric lidar performance of Coastal Zone Mapping and Imaging Lidar (CZMIL)Format | Member Price | Non-Member Price |
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Paper Abstract
A significant challenge in the CZMIL program was to develop a topographic/bathymetric lidar delivering high spatial
resolution 3D data in shallow, turbid waters, without sacrificing performance in deeper waters.
To support analysis of the trade space inherent in the design process, we developed a waveform simulator capable of
predicting CZMIL waveforms by varying parameters of the physical design and environmental properties of the seafloor
and water column.
Here, we describe the predicted performance of the proposed hardware and algorithms for generating seafloor point
clouds in a number of simulated environments.
Paper Details
Date Published: 12 May 2010
PDF: 12 pages
Proc. SPIE 7695, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XVI, 769511 (12 May 2010); doi: 10.1117/12.851978
Published in SPIE Proceedings Vol. 7695:
Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XVI
Sylvia S. Shen; Paul E. Lewis, Editor(s)
PDF: 12 pages
Proc. SPIE 7695, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XVI, 769511 (12 May 2010); doi: 10.1117/12.851978
Show Author Affiliations
Vinod Ramnath, Optech International, Inc. (United States)
Viktor Feygels, Optech International, Inc. (United States)
Yuri Kopilevich, Saint-Petersburg State Univ. of Information Technologies, Mechanics and Optics (Russian Federation)
Viktor Feygels, Optech International, Inc. (United States)
Yuri Kopilevich, Saint-Petersburg State Univ. of Information Technologies, Mechanics and Optics (Russian Federation)
Joong Yong Park, Optech International, Inc. (United States)
Grady Tuell, Optech International, Inc. (United States)
Grady Tuell, Optech International, Inc. (United States)
Published in SPIE Proceedings Vol. 7695:
Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XVI
Sylvia S. Shen; Paul E. Lewis, Editor(s)
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