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A state space model for two-dimensional motion blurs is descdbed and is employed in developing recursive restoration procedures for images degraded by motion blurs. Inverse system methods and Kalman/Bncy estimation techniques are invoked in deriving the restoration algorithms for the noise-free and noisy cases, respeCtmely. Computer implementations demonstrate the effectiveness of the new restoration schemes.

In this paper, we investigated the extraction of ground targets from background and clutter using CO2 LASER RADAR (LADAR) imagery.Target extraction or segmentation is a critical step in the Automatic Target Recognition (ATR) process. In this paper, we investigated the utility of various types of heuristics such as the diversity in the expected reflectance, range variations and size between military targets and natural objects to effectively extract military targets.We devised a computational efficient recursive algorithm based upon state -space technique to extract target from background. The recursive nature of the algorithm and its parallel concurrent processing will allow for real -time implementation. Computer simulation results are also presented.

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