Destriping Panchromatic Imagery Using Self-adaptive Moment Match

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.