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9 April 2007System issues of developing grayscale optical correlator for ATR applications
We have been developing Grayscale Optical Correlator (GOC) and exploring a variety of automatic target
recognition (ATR) applications to take advantage of the inherent performance advantages of the GOC parallel
processing, high-speed, vast parallelism and high-speed [1-4]. To date, we have built compact 512 x 512, 1000 fps
GOC systems and tested/demonstrated for field ATR experiments. We have also worked with our industrial
partners to develop a 1024 x 1024 Ferroelectric Spatial Light Modulator (FLCSLM) to meet the challenging
applications demanding larger input scene Field-of-View (FOV) and higher resolution. In this paper, two major
system issues that we have encountered during the development efforts for real-world applications will be
discussed. These include: 1) SLM dynamic range limitations and 2) ATR performance for CAD/CAC, computer-aided
detection & classification (CAD/CAC) applications. Our simulation study has shown that the current 8-bit
dynamic range possessed by the FLCSLM is adequate for both the input image and the correlation filter
encodings. We will also describe the addition of a neural network (NN) post-processor to greatly decrease the
false positive detection rate while retaining the high positive detection rate obtained by the by the GOC.
Experimental results demonstrating the high-performance of the fused GOC and NN processor will be provided.