一种海岸带高分辨率遥感图像椒盐噪声滤波的新方法

摘要

椒盐噪声是常见的图像噪声,典型的图像平滑算法不能区分海岸带高分辨率遥感图像中的噪声点和信号点,常造成图像平滑后海岸线等细节损失.提出先识别噪声点再进行去噪的新方法,通过统计关联参数用双阈值识别噪声,然后用中心权值为零的模板平滑噪声点.实验表明,该方法在滤除椒盐噪声的同时,较好地保持了海岸线等细节.%As a familiar noise,salt and pepper noise can be filtrated by some typical image-smoothing algorithms,in which noise and signal of high resolution remote sensing images in the coastal zone can not be discriminated. So the details of coastal lines are lost after image smoothing. Aimed at decreasing faws of typical algorithm, a denoising method based on noise-recognition is proposed, to discriminate noise by two threshold through correlative coefficients and smooth noise by templet of which the central-weight is zero. Experimental results show the proposed method can suppress noise effectively , meanwhile preserve the details of image better.