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University of New Hampshire

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2007

LIDAR

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Exploiting Full-Waveform Lidar Data And Multiresolution Wavelet Analysis For Vertical Object Detection And Recognition, Christopher Parrish Jul 2007

Exploiting Full-Waveform Lidar Data And Multiresolution Wavelet Analysis For Vertical Object Detection And Recognition, Christopher Parrish

Center for Coastal and Ocean Mapping

A current challenge in performing airport obstruction surveys using airborne lidar is lack of reliable, automated methods for extracting and attributing vertical objects from the lidar data. This paper presents a new approach to solving this problem, taking advantage of the additional data provided byfull-waveform systems. The procedure entails first deconvolving and georeferencing the lidar waveformdata to create dense, detailed point clouds in which the vertical structure of objects, such as trees, towers, and buildings, is well characterized. The point clouds are then voxelized to produce high-resolution volumes of lidar intensity values, and a 3D wavelet decomposition is computed. Verticalobject …


Investigating Full-Waveform Lidar Data For Detection And Recognition Of Vertical Objects, Christopher Parrish, Frank L. Scarpace May 2007

Investigating Full-Waveform Lidar Data For Detection And Recognition Of Vertical Objects, Christopher Parrish, Frank L. Scarpace

Center for Coastal and Ocean Mapping

A recent innovation in commercially-available topographic lidar systems is the ability to record return waveforms at high sampling frequencies. These “full-waveform” systems provide up to two orders of magnitude more data than “discrete-return” systems. However, due to the relatively limited capabilities of current processing and analysis software, more data does not always translate into more or better information for object extraction applications. In this paper, we describe a new approach for exploiting full waveform data to improve detection and recognition of vertical objects, such as trees, poles, buildings, towers, and antennas. Each waveform is first deconvolved using an expectation-maximization (EM) …


Lidar As A Shoreline Mapping Tool, Shachak Pe'eri, C. W. Morgan, William D. Philpot, G Guenther, Andy Armstrong May 2007

Lidar As A Shoreline Mapping Tool, Shachak Pe'eri, C. W. Morgan, William D. Philpot, G Guenther, Andy Armstrong

Center for Coastal and Ocean Mapping

No abstract provided.