Accuracy in remote sensing image change detection is an important area of study. A new approach for improving the change detection accuracy of SAR remote sensing images is investigated in this paper. The research in this paper is presented in three parts. First, we proposed a new image enhancement algorithm. We combined the image enhancement algorithm based on the combination of the wavelet domain and spatial domain and the power-law. The contrast of the original image was enhanced by histogram equalization; then, the high- and low-frequency coefficients of the image were processed by wavelet fusion, and the image was sharpened by a nonsharpening mask so that the image could be sharpened from the image. Compared with other correlation enhancement contrast algorithms, we assert that the algorithm retains the high-frequency details of the image while improving its sharpness. Second, we propose a new change detection algorithm. A power rate change detection algorithm is used to improve image brightness, a logarithmic difference map is used to obtain a difference map, and an FLCM clustering algorithm is used to improve the clustering effect by suppressing noise from domain information. To improve detection accuracy, a saliency map is extracted from the difference map, the former of which is then used. The detection template obtained from the graph greatly reduces the range of change detection and effectively reduces the noise of the SAR image. The proposed power rate change detection algorithm is superior to similar algorithms. Third, our proposed enhancement algorithm is applied to our proposed change detection algorithm, which further improves the accuracy of image change detection.

遥感影像变化检测的准确性是一个重要的研究领域。研究了一种提高SAR遥感图像变化检测精度的新方法。本文的研究分为三个部分。首先，我们提出了一种新的图像增强算法。我们结合了基于小波域和空间域以及幂律的图像增强算法。直方图均衡化增强了原始图像的对比度；然后，通过小波融合处理图像的高频和低频系数，并使用非锐化蒙版对图像进行锐化，以便可以从图像中锐化图像。与其他相关增强对比算法相比，我们断言该算法在提高图像清晰度的同时保留了图像的高频细节。其次，我们提出了一种新的变化检测算法。功率变化检测算法用于提高图像亮度，对数差异图用于获取差异图，FLCM聚类算法用于通过抑制来自域信息的噪声来改善聚类效果。为了提高检测精度，从差异图中提取一个显着图，然后使用前者。从该图获得的检测模板大大减小了变化检测的范围，并有效降低了SAR图像的噪声。提出的电价变化检测算法优于类似算法。第三，