No description available.

The software system to process integrated slant path lidar data has been debugged, modified, documented, and improved in reliability and user-friendliness. The substantial data set acquired since 1979 has been processed and a large body of results has been generated. A database has been implemented to store, organize, and access the results. The lidar data set results--the S ratios, the optical depths, and the mixing layer heights are presented. The seasonal dependence of the lidar solution parameters has been explored. The assumptions made in the lidar solution procedure are investigated. The sensitivity of the S ratio and the particulate extinction coefficient to the system calibration constant is examined. The reliability of the calibration constant is demonstrated by examining the particulate to Rayleigh extinction ratio values above the mixing layer.

Thesis. 1975. Ph.D.--Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science. / Includes bibliographical references. / Ph.D.

"August 2001." Includes bibliographical references (leaves 77-80). Examines the susceptibility of existing signal processing methods to errors and identifies other possible causes of depth error not accounted for by existing signal processing methods, by analysis of the detected laser return waveform data. Methods to improve depth accuracy are investigated.

Airborne lidar bathymetry (ALB) is a method used to survey and map coastal and littoral zones. Along with extracting seafloor depth and reflectance in the surveyed area, a fundamental requirement of these surveys is to detect underwater targets, hazards, or obstructions. The ability to detect underwater targets depends on a target's dimensions and reflectance, the depth and turbidity of the water, system and survey configuration, data processing capabilities, and algorithmic sophistication. Understanding the effects of each of these factors on the performance of underwater target detection is essential in determining the target detection capabilities of a proposed ALB system. After detailing the development of a simulation environment to model received ALB system waveforms, this work explores the theoretical target detection capabilities of an ALB system.

Thesis (Ph. D.)--University of Washington, 2003. / Vita. Includes bibliographical references (p. 152-162).

No description available.

Thesis (M.S.)--Oregon State University, 2008. / Printout. Includes bibliographical references. Also available on the World Wide Web.

Thesis (Ph.D.)--Rochester Institute of Technology, 2007. / Typescript. Includes bibliographical references (p. 180-185).

Thesis (M.S.)--West Virginia University, 2008. / Title from document title page. Document formatted into pages; contains vii, 129 p. : ill. (some col.), col. maps. Includes abstract. Includes bibliographical references (p. 79-86).