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| Body-of-revolution Target Enhanced Imaging Algorithm Based on Aspect Scattering Entropy |
| Liang Fu-lai Song Qian Wang Yu-ming Zhou Zhi-min |
| School of Electronic Science and Engineering, National University of Defense Technology, Changsha 410073, China |
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Abstract By applying the prior knowledge of targets to be detected, enhanced imaging for the targets can be realized and beneficial improvements in image quality and detection performance can be expected. Body Of Revolution (BOR) has the unique feature of aspect scattering invariance, which can be used for the classification of BOR targets. In this paper, Aspect Scattering Entropy (ASE) is introduced to measure the aspect invariance of target scattering. Then the enhanced imaging algorithm based on ASE is proposed to emphasize BOR targets. Afterwards, the effect of fluctuant location and attitude on enhanced imaging is analyzed, and compensation method is integrated with aspect scattering feature extraction. The results of experimental data demonstrate the effectiveness and practicability of the proposed algorithm.
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Received: 05 June 2012
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Corresponding Authors:
Liang Fu-lai
E-mail: dream_driver_lfl@sina.com
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2013, Vol. 35 
