• Opto-Electronic Engineering
  • Vol. 35, Issue 5, 23 (2008)
TAN Xiao-yu*, CHEN Mou, and JIANG Chang-sheng
Author Affiliations
  • [in Chinese]
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    DOI: Cite this Article
    TAN Xiao-yu, CHEN Mou, JIANG Chang-sheng. Applications of Improved Dynamic Programming Algorithm in Small Targets Detection[J]. Opto-Electronic Engineering, 2008, 35(5): 23 Copy Citation Text show less

    Abstract

    In allusion to the flaws of general dynamic programming algorithm with maximizing energy,a new improved method with the most steady states is proposed based on the previous methods. Considering the stabilization of the gray of the targets and the continuity of the movement trajectories,probabilities of the energy stabilization and direction stabilization are computed respectively. Probability of state stabilization is computed with information fusion and energy of candidate point whose stabilization probability is most is accumulated. Simulation results show that the proposed algorithm can well solve the energy scattering problem. The area of energy scattering is decreased by 10 times when targets’ SNR is 2.5. Targets’ SNR can be increased stably to 1.5 times when the number of accumulation frames is 5 and the Targets’ SNR is 2.5. The number of false alarm points is decreased by more than 10 times when the targets are separated by threshold.
    TAN Xiao-yu, CHEN Mou, JIANG Chang-sheng. Applications of Improved Dynamic Programming Algorithm in Small Targets Detection[J]. Opto-Electronic Engineering, 2008, 35(5): 23
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