采用灰度分割的自适应矩匹配条带噪声去除方法
Destriping Panchromatic Imagery Using Self-adaptive Moment Match
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摘要: 针对国产卫星全色影像中的随机条带噪声现象,提出了一种采用灰度分割的自适应矩匹配条带噪声去除方法。该方法首先将不同反射特性的地物按照灰度差异进行分割处理,然后对每一个分割区域分别采用标准矩匹配进行处理,从而抑制标准矩匹配处理过程中造成的灰度畸变。选取资源1号02C-HR光学影像进行实验,结果表明,与现有的去噪方法相比,所得图像质量有较大提升。Abstract: We present an improved destriping method using self-adaptive moment match after analyzing the characteristics of random strip noises appearing in panchromatic imagery.Firstly,we classify the imagery into different parts according to gray scale.Then we dealt with each part using standard moment match method.The new method will lead to less gray scale distortion than standard moment match method.Finally,high resolution panchromatic imagery acquired from ZY1-02C is adopted to test the effectiveness of our proposal algorithm.The results show that the imagery have advantages at both denosing and fidelity.
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