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Proceedings Paper

Foliage penetration by using 4-D point cloud data
Author(s): Javier Méndez Rodríguez; Pedro J. Sánchez-Reyes; Sol M. Cruz-Rivera
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Paper Abstract

Real-time awareness and rapid target detection are critical for the success of military missions. New technologies capable of detecting targets concealed in forest areas are needed in order to track and identify possible threats. Currently, LAser Detection And Ranging (LADAR) systems are capable of detecting obscured targets; however, tracking capabilities are severely limited. Now, a new LADAR-derived technology is under development to generate 4-D datasets (3-D video in a point cloud format). As such, there is a new need for algorithms that are able to process data in real time. We propose an algorithm capable of removing vegetation and other objects that may obfuscate concealed targets in a real 3-D environment. The algorithm is based on wavelets and can be used as a pre-processing step in a target recognition algorithm. Applications of the algorithm in a real-time 3-D system could help make pilots aware of high risk hidden targets such as tanks and weapons, among others. We will be using a 4-D simulated point cloud data to demonstrate the capabilities of our algorithm.

Paper Details

Date Published: 14 May 2012
PDF: 8 pages
Proc. SPIE 8379, Laser Radar Technology and Applications XVII, 83790B (14 May 2012); doi: 10.1117/12.918949
Show Author Affiliations
Javier Méndez Rodríguez, ITT Exelis Inc. (United States)
Pedro J. Sánchez-Reyes, ITT Exelis Inc. (United States)
Sol M. Cruz-Rivera, ITT Exelis Inc. (United States)

Published in SPIE Proceedings Vol. 8379:
Laser Radar Technology and Applications XVII
Monte D. Turner; Gary W. Kamerman, Editor(s)

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