Active imaging system performance model for target acquisition

The U.S. Army RDECOM CERDEC Night Vision & Electronic Sensors Directorate has developed a laser-range-gated imaging system performance model for the detection, recognition, and identification of vehicle targets. The model is based on the established US Army RDECOM CERDEC NVESD sensor performance models of the human system response through an imaging system. The Java-based model, called NVLRG, accounts for the effect of active illumination, atmospheric attenuation, and turbulence effects relevant to LRG imagers, such as speckle and scintillation, and for the critical sensor and display components. This model can be used to assess the performance of recently proposed active SWIR systems through various trade studies. This paper will describe the NVLRG model in detail, discuss the validation of recent model components, present initial trade study results, and outline plans to validate and calibrate the end-to-end model with field data through human perception testing.

[1]  Fenner Milton,et al.  Low-cost sensors for UGVs , 2000, Defense, Security, and Sensing.

[2]  Sean G. O'Brien,et al.  Simulation of atmospheric-turbulence image distortion and scintillation effects impacting short-wave infrared (SWIR) active imaging systems , 2004, SPIE Defense + Commercial Sensing.

[3]  Carl E. Halford,et al.  Impact of speckle on laser range-gated shortwave infrared imaging system target identification performance , 2003 .

[4]  Peter G. J. Barten,et al.  Contrast sensitivity of the human eye and its e ects on image quality , 1999 .

[5]  Carl E. Halford,et al.  Modeling active imager performance , 2004, SPIE Defense + Commercial Sensing.

[6]  Carl E. Halford,et al.  Tilted surfaces in short-wave infrared imagery: speckle simulation and a simple contrast model , 2007 .

[7]  W. Wolfe,et al.  The Infrared Handbook , 1985 .

[8]  Carl E. Halford,et al.  Beam scintillation effects on identification performance with active imaging systems , 2005, SPIE Security + Defence.

[9]  Karin R. Weiss-Wrana Turbulence statistics applied to calculate expected turbulence-induced scintillation effects on electro-optical systems in different climatic regions , 2005, SPIE Optics + Photonics.

[10]  Peter G. J. Barten,et al.  Evaluation of Subjective Image Quality with the Square Root Integral Method , 1990, Applied Vision.

[11]  Ronald G. Driggers,et al.  New metric for predicting target acquisition performance , 2004 .

[12]  Christina A. Groenwall,et al.  Gated viewing for target detection and target recognition , 1999, Defense, Security, and Sensing.

[13]  Eddie L Jacobs,et al.  Modeling the target acquisition performance of active imaging systems. , 2007, Optics express.