ABSTRACT

Change detection is an essential step for synthetic aperture radar (SAR) image interpretation. We propose a change detection method that included a denoising method and a difference operator to improve the change precision. The SAR images are first transformed into logarithmic domain before filtering. And then, the log-intensity image is filtered by the iterative guided filter that is the combination of a traditional guided filter and iterative regularization technique. The operator based on the log-ratio (LR) and neighbourhood pixels is developed to generate the difference image, which can reflect the change trends between images effectively. The final image that consisted of changed pixels and unchanged pixels is obtained by using the fuzzy c-means (FCM) algorithm. The experimental results accomplished over two real SAR datasets demonstrate that the proposed method can improve the accuracy of change detection.

摘要

变化检测是合成孔径雷达 (SAR) 图像解释的重要步骤。我们提出了一种变化检测方法，包括去噪方法和差分算子，以提高变化精度。SAR图像在滤波前首先转换为对数域。然后，通过迭代引导滤波器对对数强度图像进行滤波，该滤波器是传统引导滤波器和迭代正则化技术的结合。开发了基于对数比（LR）和邻域像素的算子生成差分图像，可以有效反映图像之间的变化趋势。使用模糊c-均值（FCM）算法得到由变化像素和不变像素组成的最终图像。