Abstract
Since that traditional CFAR is not suitable for high resolution target detection of SAR images, in this paper, a new two-stage target detection method is proposed. On the first stage, we extract ROIs from the SAR image based on the variance weighted information entropy (WIE). The rough ROIs are further processed with a series of methods, including false alarm exclusion, rectangular-completing and centroid alignment. On the second stage, for each ROI, we adopt a variational segmentation algorithm to accurately extract the target. In our experiment, in particular, we test the proposed method on a real SAR image, and its effectiveness is successfully demonstrated.
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Acknowledgments
This work is supported by the National Natural Science Foundation of China (Grant No.61271287).
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© 2014 Springer International Publishing Switzerland
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Ge, Y., Cao, Z., Feng, J. (2014). A Two-Stage Target Detection Method for High-Resolution SAR Images. In: Zhang, B., Mu, J., Wang, W., Liang, Q., Pi, Y. (eds) The Proceedings of the Second International Conference on Communications, Signal Processing, and Systems. Lecture Notes in Electrical Engineering, vol 246. Springer, Cham. https://doi.org/10.1007/978-3-319-00536-2_65
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DOI: https://doi.org/10.1007/978-3-319-00536-2_65
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