记忆效应(Memory Effect, ME)噪声是发生在红外光机扫描仪影像中的一种条带噪声。扫描条带中,有明显亮暗突变位置的景物的ME噪声尤其明显,会严重影响影像的目视效果。传统的ME噪声去除方法基于系统脉冲响应函数构建复原滤波器,使用复原滤波器对图像进行复原。该方法的缺点是必须有精确的系统脉冲响应函数。针对传统方法的不足,提出了一种新的ME噪声去除算法。该算法利用影像自身的辐射信息,使用检测模板遍历整景影像以检测ME噪声,对检测到的噪声使用迭代法去除。最终,选取资源一号01星的IRMSS影像进行了试验。结果表明,该方法可以有效去除ME噪声,从而提升图像的辐射质量。

Memory Effect (ME) noise is a stripe noise which occurs in infrared opto-mechnical scanning images. It is particularly obvious for the scene with a bright-dark mutation in the image. It may affect the visual effectiveness of the image seriously. The traditional ME noise removal methods usually use a system impulse response function to build a restoration filter for restoring images. The disadvantage is that there should be an accuracy impulse response function. In view of the disadvantages of traditional methods, a new ME noise removal algorithm is proposed. In the algorithm, the radiation information of image self is used, a detection template is used to traverse the whole scene image so as to detect ME noise and an iterative method is used to remove the detected noise. Finally, the IRMSS images from CBERS01 satellite are selected to make experiment. The experimental results show that this method can remove ME noise effectively so that it can improve the radiation quality of images.