Aiming at the time-consuming problem caused by large computational load of radar image retrieval, based on blocking histogram, Sobel edge detection operator and gray level co-occurrence matrix (GLCCM), new radar remote sensing image retrieval algorithm based on improved Sobel operator is proposed. Firstly, the Sobel edge detection algorithm is used to process the image, the edge image is acquired, the radar remote sensing image is analyzed from different angles, and then the different radar remote sensing images are transformed. Then, based on the above processing, Radar Remote Sensing Image Retrieval Algorithm is acquired; finally, the plurality of statistic of the matrix is recorded as a feature vector describing the radar image, and the image is retrieved according to the feature vector of the radar image. Through a large number of experiments, Radar Remote Sensing Image Retrieval algorithm can greatly reduce the retrieval time, and it also has a good retrieval effect for images with rich texture.

针对雷达图像检索运算量大造成的耗时问题，基于分块直方图，Sobel边缘检测算子和灰度共生矩阵（GLCCM），提出了一种基于改进Sobel算子的雷达遥感图像检索新算法。建议。首先，利用Sobel边缘检测算法对图像进行处理，获取边缘图像，从不同角度对雷达遥感图像进行分析，然后对不同的雷达遥感图像进行变换。然后，基于上述处理，获取雷达遥感图像检索算法；最后，将矩阵的多个统计量记录为描述雷达图像的特征向量，并根据雷达图像的特征向量检索图像。通过大量的实验，