test

sar 图像边缘检测算子，代码简洁，能够运行成功。(sar image edge detection，it s simple and useful 。)

k均值图像分割，经典的图像分割方法，算法简单，效果好。(k-means image segmentation)

这个是INSAR图像处理的matlab工具箱，里面包含了很多有用的函数，对我们非常有帮助。(This is the INSAR image processing toolbox, which contains many useful functions, very helpful to us.)

基于opencv的相机单目标定程序，很好的学习资源，做图像矫正的可以看看~(Opencv based on a single target of the camera program)

说明：  经典的Tarel去雾算法，可用于图像去雾的指标性能对比。(It is the classical dehazing algorithm, and it is can be used comparison with other algorithms.)

干涉SAR图像配准程序，matlab编的，很好用！(Interferometric SAR image registration procedures, matlab, and easy to use!)

K-meansK均值聚类在无监督的情况下选择图像特征的算法(K-meansK means clustering in the case of unsupervised image feature selection algorithm)

说明：  实现了三种图像匹配算法 1：归一化互相关匹配算法 2：基于Hausdorff距离的图像匹配算法 3：图像不变矩匹配算法(Three matching algorithms to achieve 1: normalized cross correlation matching algorithm 2: the image matching algorithm based on Hausdorff Distance 3: Image Invariant Moment Matching Algorithm)

用所写算子进行边缘检测，对matlab自身图片进行分析，其中的suanzi.m是自定义的边缘检测算子(operator with written for edge detection, right Matlab own photo analysis suanzi.m which is the definition of edge detection operator)

基于数学形态学的图像腐蚀程序，用c语言编写，适合初学者理解。(Image based on mathematical morphology erosion process, using c language, suitable for beginners to understand.)