24 October 2017 Modeling amplitude SAR image with the Cauchy-Rayleigh mixture
Author Affiliations +
Proceedings Volume 10463, AOPC 2017: Space Optics and Earth Imaging and Space Navigation; 104630J (2017) https://doi.org/10.1117/12.2282781
Event: Applied Optics and Photonics China (AOPC2017), 2017, Beijing, China
Abstract
In this paper, we introduce a novel mixture model of the SAR amplitude image, which is proposed as an approximation to the heavy-tailed Rayleigh model. The limitation of the heavy-tailed Rayleigh model in SAR image application is discussed. We also present an expectation-maximization (EM) algorithm based parameter estimation method for the Cauchy-Rayleigh mixture. We test the new model on some simulated data in order to confirm that is appropriate to the heavy-tailed Rayleigh model. The performance is evaluated by some statistic values (cumulative square errors (CSE) < 0.013, correlation coefficient (CC) > 0.99 and Kolmogorov-Smirnov distance (K-S) < 0.03). Finally, the performance of the proposed mixture model is tested on some real SAR images and compared with other models, including the heavy-tailed Rayleigh and Nakagami mixture models. The result indicates that the proposed model can be an optional statistical model for amplitude SAR images.
© (2017) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Qiangqiang Peng, Qingyu Du, Yinwei Yao, Huang Huang, "Modeling amplitude SAR image with the Cauchy-Rayleigh mixture", Proc. SPIE 10463, AOPC 2017: Space Optics and Earth Imaging and Space Navigation, 104630J (24 October 2017); doi: 10.1117/12.2282781; https://doi.org/10.1117/12.2282781
PROCEEDINGS
7 PAGES


SHARE
Back to Top