Paper
1 June 2011 Extracting intelligence from ladar sensing modalities
Allan M. Burwinkel, Stuart J. Shelley, Cinque M. Ajose
Author Affiliations +
Abstract
Modern LADAR sensors have the potential to utilize a number of sensing modalities that provide a rich array of information in addition to traditional 3D geometry. Imaging polarization, multi-spectral reflectance/absorption and vibration spectral signature characteristics can all be sensed, potentially in a single LADAR sensor. This paper will examine how these rich sensing capabilities enhance the utility of LADAR signature exploitation. This research utilizes a strong understanding of underlying physical phenomena, enabling the development of data exploitation capabilities that are not brittle to small variations from assumed targets and environmental conditions, and minimizing the need for experimentally obtained training data. Physics-based signal processing research has demonstrated a promising ability to extract useful and actionable intelligence from the various sensing modalities of modern LADAR systems. A summary of the intelligence provided by the LADAR sensing modalities is presented as well as a demonstration of how the individual modes and combinations of LADAR sensing modes can be leveraged to add unique and valuable information to intelligence gathering missions. Particular utility is demonstrated for detection of adversary presence in cluttered, obstructed, hidden or underground environments. Furthermore, research has shown 3D geometry, polarization, multi-spectral and vibrometry LADAR sensing modalities can provide valuable intelligence for identifying and/or classifying the adversary and analyzing threat.
© (2011) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Allan M. Burwinkel, Stuart J. Shelley, and Cinque M. Ajose "Extracting intelligence from ladar sensing modalities", Proc. SPIE 8037, Laser Radar Technology and Applications XVI, 80370C (1 June 2011); https://doi.org/10.1117/12.884101
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CITATIONS
Cited by 2 scholarly publications.
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KEYWORDS
LIDAR

3D acquisition

Clouds

Polarization

3D modeling

Target detection

Vibrometry

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