27 July 1999 Estimation of pose and location of ground targets for ATR
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Abstract
Estimating pose and location of a detected target is an integral part of the target recognition process. In this paper we address the problem of estimating these parameters using images collected via stationary or moving sensors. Taking a Bayesian approach, we define a posterior on the special Euclidean group, which models the target orientation and position, and an optimal estimator in the minimum mean squared error sense. In addition, we derive an achievable lower bound on the estimation errors, independent of an algorithm, and analyze this bound by varying the sensor noise. This bound provides a tool for studying the algorithmic performance versus resources trade-off in multi- sensor, multi-frame applications.
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Marc Loizeaux, Marc Loizeaux, Anuj Srivastava, Anuj Srivastava, Michael I. Miller, Michael I. Miller, "Estimation of pose and location of ground targets for ATR", Proc. SPIE 3720, Signal Processing, Sensor Fusion, and Target Recognition VIII, (27 July 1999); doi: 10.1117/12.357153; https://doi.org/10.1117/12.357153
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