SAR合成孔径雷达图像点目标(附matlab代码)

求解分线性脉冲传输方程的SSFM方法,其中使用了改进的分步傅里叶算法，适合新手(the SSFM method to calculate the nonlinear pulse propagation equation)

一个去除斑点噪声的滤波器的，特别适用于医学超声图像(A filter to remove speckle noise , especially for medical ultrasound image )

基于sift算法的图像匹配。并用RANSEC算法去除错误匹配。最后还给出了sift算法的图像拼接。(Sift-based image matching algorithm. And use RANSEC algorithm to remove false matches. Finally, given the sift algorithm for image stitching.)

利用核函数进行遥感图像的分类，本程序再支持向量机的基础上引入了核函数进行图像分类，是分类效果更加明显(Use of nuclear function remote sensing image classification, the program no longer support vector machine based on the introduction of the kernel function for image classification, classification effect is more pronounced)

将一个图像的感兴趣区域替换到另一张图像的相同区域中(Will replace the region of interest of an image to another image of the same region of the)

广度优先搜索和深度优先搜索在网络拓扑图上的实现。广度优先搜索是从某一节点开始，搜索与其线连接的所有节点，按照广度方向像外扩展，直到不重复遍历所有节点；深度优先搜索是从某一节点开始，沿着其搜索到的第一个节点不断深入下去，当无法再深入的时候，回溯节点，然后再在回溯中的某一节点开始沿另一个方向深度搜索，直到不重复的遍历所有节点。 (Breadth-first search and depth-first search in the network topology is realized. Breadth-first search is started from a node, searching all the nodes connected to its line, in accordance with the breadth direction as extracapsular extension, until no repeat traverse all nodes depth-first search is started from a node along its search to the first nodes deepening it, when it can not go any further, backtracking node, and then back again in the beginning of a node depth search in the other direction until the non-repetition of the traverse all nodes.)

利用块匹配稳像算法实现视频去抖动。 主程序入口位于shakeproof.m(shakeproof.m main function. emba.m exhaustive macro block matching algorithm. splitmv.m split mv field into backgroud and foreground. hist2d.m 2d histogram function.)

SAR合成孔径雷达的点目标仿真报告，含matlab代码(SAR synthetic aperture radar point target simulation report, including Matlab code)

击中和击不中变换，可以很好的找出想要的图像，对图像识别和分割有很好的帮助(miss or not miss)

对两幅图像进行相似度计算，基于相似度计算进行模板匹配，带有测试图像，可以直接运行(Calculate the similarity of the two images, the similarity calculation based on template matching, with a test image, you can directly run)