Automatic Target Detection in E 3 D Images Using Mathematical Morphology Techniques

In this paper, we present an Automatic Target Detection system that operates on a simulated E3D(Exploitation of 3D Data) image dataset. Simulated E3D images are range images where each value represents the height above the ground. In our work, we treat the 3D data as if the height values were pixel intensity values(2D) and a set of mathematical morphology operations are applied to each image to generate features and then a decision tree classification algorithm is used to distinguish between the target and nontarget pixels in test images. The experimental results show over target detection performance.