基于ICA-SCS算法的极化SAR图像相干斑抑制
doi: 10.3724/SP.J.1146.2005.00716
Speckle Reduction of Polarimetric SAR Image Based on ICA-SCS Algorithm
-
摘要: 该文提出了采用基于独立分量分析的稀疏编码收缩(ICA-SCS)算法进行极化SAR图像相干斑抑制的新方法，结合软门限算子，有效抑制了图像中的相干斑噪声，保留了极化信息。实验结果表明，该算法具有较好的边缘保持和噪声抑制能力。Abstract: In this paper, a novel method of sparse coding shrinkage based on independent component analysis is proposed to reduce speckle in polarimetric SAR Images. With soft-thresholding operator on polarimetric SAR image, this method reduces speckle effectively and preserves polarimetric properties. The experiment shows that the image edges are retained with the method and the speckle is removed effectively.
-
[1] Lee J S and Jurkevich I. Speckle filtering of synthetic aperture radar images: A review. Remote Sensing Reviews, 1994, 8(4): 313-340. [2] 田金凤, 皮亦鸣. 用一种新的独立分量分析算法实现极化SAR图像相干斑抑制. 雷达科学与技术, 2005, 3(1): 31-35. [3] Hyvarinen A, et al.. Independent Component Analysis. New York: John Wiley, 2001, chapter 1. [4] Hyvarinen A. Noisy independent component analysis, maximum likelihood estimation, and competitive learning. IEEE International Conference on Neural Networks Conference Proceedings, Anchorage, AK, USA, IEEE World Congress on Computational Intelligence, 1998, vol.3: 2282-2287. [5] Pi Yi-ming, et al.. Polarimetric speckle reduction using multi- texture maximum likelihood method[J].Electronics Letters.2003, 39(18):1348-1349 [6] Arsenault H H and April G. Properties of speckle integrated with a finite aperture and logarithmically transformed[J].Journal Optical Society America.1976, 66(11):1160-1163 [7] Hyvarinen A. Fast and robust fixed-point algorithms for independent component analysis. Neural Processing Letters, 1999, 10(3): 626-634. -
计量
- 文章访问数: 3477
- HTML全文浏览量: 84
- PDF下载量: 1022
- 被引次数: 0
下载:
