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Image enhancement is one of the most important techniques in digital imaging processing fields. Traditional global histogram equalization usually causes excessive contrast enhancement while local histogram equalization may cause block effect. To overcome these problems, a new method for image contrast enhancement is developed. The novelty is that the weighted average of histogram equalization and...
To search for multiple moving targets in ocean surveillance by space-based sensors, an Information-driven approach is developed based on information theoretic metrics including Kullback-Leibler discrimination and entropy. Use probability distribution to represent of target positions. Calculate information gain from target probability distributions between motion prediction and hypothetical observations,...
Myopic information-based approaches maximizing information gain for single one observation opportunity are effective to search for multiple moving targets in ocean surveillance by space-based sensors. A non-myopic approach based on reinforcement learning is developed in order to maximize information gain for the long term. Reinforcement learning adjusts optimal control policy and learns system behaviors...
To task space-based sensors to efficiently estimate the states of targets, an information theoretic approach is developed based on Kullback-Leibler (KL) discrimination for myopic sensor resource allocation. The technique employs the principle that sensors should take actions that maximize the expected KL discrimination as information gain. Calculate KL discrimination between the priori state probability...
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