Contrast enhancement to improve tracking and classification performance

This paper describes the effects of using a contrast enhancement technique in image processing applications relating to target identification, tracking and classification. Specifically, it records the evaluation processes and the improvement provided by the technique in these applications when using imagery taken from the infrared waveband. Previous work has shown that a significant improvement in effective visibility may be achieved by correcting for the atmospheric degradation apparent in images taken from the visible and infrared wavebands. The enhancement technique is based on a three parameter model for the transmission of flux from the terrain to the imaging sensor. The measured flux is given by: I=C₀(1+C₁exp(-σR)) where R is the range and C₀, C₁ and σ are constants which depend on the atmospheric parameters and the terrain radiance, and σ is known as the extinction coefficient. Using actual image data, estimates for the three parameters can be calculated. When the model is combined with a range map corresponding to the image, the effects of atmospheric degradation may be reversed. The result is an improvement in the range over which targets can be detected together with increased object clarity. Any image processing method which increases the detectable range and clarity of objects improves the capability and performance of applications concerning target classification and tracking