DUSTER: demonstration of an integrated LWIR-VNIR-SAR imaging system

Michael L. Wilson; Dale Linne von Berg; Melvin Kruer; Niel Holt; Scott A. Anderson; David G. Long; Yuly Margulis

doi:10.1117/12.777984

15 April 2008 DUSTER: demonstration of an integrated LWIR-VNIR-SAR imaging system

Michael L. Wilson, Dale Linne von Berg, Melvin Kruer, Niel Holt, Scott A. Anderson, David G. Long, Yuly Margulis

Proceedings Volume 6946, Airborne Intelligence, Surveillance, Reconnaissance (ISR) Systems and Applications V; 694607 (2008) https://doi.org/10.1117/12.777984
Event: SPIE Defense and Security Symposium, 2008, Orlando, Florida, United States

Abstract

The Naval Research Laboratory (NRL) and Space Dynamics Laboratory (SDL) are executing a joint effort, DUSTER (Deployable Unmanned System for Targeting, Exploitation, and Reconnaissance), to develop and test a new tactical sensor system specifically designed for Tier II UAVs. The system is composed of two coupled near-real-time sensors: EyePod (VNIR/LWIR ball gimbal) and NuSAR (L-band synthetic aperture radar). EyePod consists of a jitter-stabilized LWIR sensor coupled with a dual focal-length optical system and a bore-sighted high-resolution VNIR sensor. The dual focal-length design coupled with precision pointing an step-stare capabilities enable EyePod to conduct wide-area survey and high resolution inspection missions from a single flight pass. NuSAR is being developed with partners Brigham Young University (BYU) and Artemis, Inc and consists of a wideband L-band SAR capable of large area survey and embedded real-time image formation. Both sensors employ standard Ethernet interfaces and provide geo-registered NITFS output imagery. In the fall of 2007, field tests were conducted with both sensors, results of which will be presented.

Citation Download Citation

Michael L. Wilson, Dale Linne von Berg, Melvin Kruer, Niel Holt, Scott A. Anderson, David G. Long, and Yuly Margulis "DUSTER: demonstration of an integrated LWIR-VNIR-SAR imaging system", Proc. SPIE 6946, Airborne Intelligence, Surveillance, Reconnaissance (ISR) Systems and Applications V, 694607 (15 April 2008); https://doi.org/10.1117/12.777984

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