Predicted lidar ranging accuracy for CZMIL

Abstract

Range measurements in CZMIL 1,2 are accomplished with signal processing techniques applied to green lidar waveforms. In the design phase of the project, we developed software to simulate waveforms for CZMIL, and have used these simulated waveforms to design ranging algorithms, and test their accuracies. Our results indicate the topographic ranging accuracy to hard targets should be on the order of 2cm. In this paper, we discuss the simulations, algorithms, and results.

Remote Sensing of Sub-Surface Suspended Sediment Concentration by Using the Range Bias of Green Surface Point of Airborne LiDAR Bathymetry

“…The detected points are used to calculate the slant distance of the laser propagation and obtain the 3D surface point further. Several different algorithms, such as peak detection [22,23], leading edge detection [24][25][26], waveform decomposition [27][28][29], and deconvolution method [30,31], have been proposed to detect the features/targets of interest in pulse waveforms. The surface point derived by IR waveform can accurately represent the water surface [8].…”

Conceptual design of the CZMIL data processing system (DPS): algorithms and software for fusing lidar, hyperspectral data, and digital images

“…Then, using the position and orientation data for the aircraft, and the pointing information from the lidar, we compute 3D ellipsoid coordinates on the land/sea surface and the seafloor. The resulting products are the sea floor lidar point cloud in ellipsoid heights and the land/sea surface point cloud in ellipsoid heights (h s and h b ) [3][4] . The water depth, D, is then computed as the difference between the two surfaces defined by the point clouds.…”

Overview of the coastal zone mapping and imaging lidar (CZMIL): a new multisensor airborne mapping system for the U.S. Army Corps of Engineers

“…In the CZMIL design we strived to produce a narrow system response using a short pulse-length laser, large optical aperture, and high bandwidth electronics 7 . These design elements were addressed while remaining focused on achieving the required accuracies for both topographic and bathymetric ranges 8 . Consequently, design of the receiver required custom configuration of the photo detectors and digitizing electronics so as to produce lidar waveforms with sufficient low noise characteristics, while still covering the high dynamic range encountered in typical survey operations 9 .…”