提出了一种基于支持向量机的遥感影像薄云去除方法。
A new thin cloud removing approach of remote sensing image based on support vector machine is introduced.
试验结果表明，云的探测快速准确，薄云的去除效果较好。
Experimental results show that the haze detection is rapid and accurate, and that the thin haze is removed effectively.
针对基于小波阈值理论提出的云区阈值法存在的容易产生边界效应的问题，提出了一种改进的单幅图像去除薄云的新算法。
Because the algorithm of cloud threshold often generates boundary effect, this paper proposed an improved algorithm based on wavelet transform and homomorphic filter.
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