Field demonstration and characterization of a 10.6-um reflection tomography imaging system

Stephen A. Hanes; Vincent N. Benham; James B. Lasche; Kenneth B. Rowland

doi:10.1117/12.413831

31 January 2001 Field demonstration and characterization of a 10.6-μm reflection tomography imaging system

Stephen A. Hanes, Vincent N. Benham, James B. Lasche, Kenneth B. Rowland

Proceedings Volume 4167, Atmospheric Propagation, Adaptive Systems, and Laser Radar Technology for Remote Sensing; (2001) https://doi.org/10.1117/12.413831
Event: Europto Remote Sensing, 2000, Barcelona, Spain

Abstract

A field experiment to investigate an imaging technique based on reflection tomography has been performed at the Air Force Research Laboratory. The experiment, called HILT (Heterodyne Imaging Laser Testbed), involves the illumination of objects with short pulses of laser radiation, and the measurement of the temporal characteristics of return pulses scattered by the object. Return pulses, referred to as projections, provide range resolved information characteristic of the object surface shape and viewing angle. By obtaining multiple projections at different viewing angles, a tomographic reconstruction of the object's surface can be obtained. Recent testing has produced images of targets at a range of 990 meters using 1.4 ns pulses from a 10.6 (mu) CO₂ laser. A heterodyne detection technique was utilized to record the weak return signals. The results obtained from this system are believed to be the first LADAR range resolved reflection tomographic images of diffuse objects in a field environment, and the first use of a heterodyne detection system for LADAR reflection tomography. A description of the system is provided and experimental results are presented.

Citation Download Citation

Stephen A. Hanes, Vincent N. Benham, James B. Lasche, and Kenneth B. Rowland "Field demonstration and characterization of a 10.6-μm reflection tomography imaging system", Proc. SPIE 4167, Atmospheric Propagation, Adaptive Systems, and Laser Radar Technology for Remote Sensing, (31 January 2001); https://doi.org/10.1117/12.413831

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