Cross-Correlation-Target-Image-Detection

说明：  实现SURF图像匹配，并将图片进行扭曲处理再次实现匹配。(Surf image matching is realized, and the image is distorted to achieve matching again.)

叠加平均去噪过程的实现，信号产生，加噪，去噪效果的显示(Average denoising, signal generation, noise addition, display the denoising effects)

两个l1准则下的噪声干扰信号压缩感知重构举例，两个例子的稀疏矩阵均为DCT矩阵，而观测矩阵分别采用单位阵和随机矩阵，有详细的步骤和使用方法，适用于初步的学习压缩感知方法。(This programme supply two examples by Compressed sensing with l1 norm. The sparse matrix of two examples are all DCT matrix and the obsever matrix are unit matrix and random matrix respectively. We give the detailed usage and steps for the programme which is useful to the beginner.)

Ncut的文献及matlab源代码。基于图的分割非常好的一个算法(Ncut literature and matlab source code. Graph-Based Segmentation Algorithm for a very good)

图像去云处理小程序，可以方便地对有云覆盖的影像进行处理，操作简单，效果较好(cloud remove procedures)

delaunay三角化程序 delaunay三角化程序 delaunay三角化程序(delaunay triangulation delaunay triangulation process procedures delaunay triangulation process)

基于区域阈值的图像分割方法研究，迭代阈值法分割技术(Regional threshold-based image segmentation method, iterative threshold segmentation)

图像处理中的一些常用代码，包括：腐蚀操作 开启和闭合操作 形态学边界提取 形态学骨架提取 直接提取四个顶点坐标(Some of the commonly used image processing code, including: Opening and closing operation of corrosion morphology boundary extraction morphological skeleton extraction to extract four vertex coordinates)

VC++图像平滑处理+程序源码，实现图象的平滑（去噪声），锐化功能，测试时请在C盘下放一个测试用的Bmp图片，路径：C: est.bmp，没有的话没法测试。如上图所示是水平平滑处理，可以对比下，不过感觉颜色失真了，有兴趣的看一下。命令行编译过程如下： 　　vcvars32 　　rc bmp.rc 　　cl smooth.c bmp.res user32.lib gdi32.lib(VC++ image smoothing+ program source code, to achieve a smooth image (to noise), sharpening function in the C drive when testing a test of decentralization Bmp picture, path: C: test.bmp, no words can not test . Is shown above the level of smoothing, you can compare the next, but the feeling of color distortion, interested look. Command-line compiler as follows: vcvars32 rc bmp.rc cl smooth.c bmp.res user32.lib gdi32.lib)

基于GEE平台，landsat影像的随机森立法土地覆盖分类(Land cover classification based on the random son legislation based on the GEE platform.)