遥感算法的IDL代码 classification

基于引导滤波的图像信息分层算法，可实现高低频信息分离，分段处理功能(The image information hierarchical algorithm based on guided filtering can realize the separation of high and low frequency information and the segmentation processing function.)

基于SAR回波信号模型的合成孔径雷达点目标成像仿真程序，可以取得很好的电成像效果。(Synthetic aperture radar echo point target imaging simulation program.)

实现图像的几何变换，用控制栅格的方法来将一幅变形的图片恢复原型(Image geometric transformation, with control of the grid method to deformation of an image to restore the prototype)

稀疏表示中字典学习算法KSVD的实现，可以得到冗余字典，代码内部有详细注释(The realization of the sparse representation of a dictionary learning algorithm KSVD, can get a redundant dictionary, internal has a detailed code comments)

结合模糊C均值聚类算法与水平集方法的图像分割代码，分割效果良好。(The image segmentation code based on fuzzy c-means clustering algorithm and level set method has a good segmentation effect.)

说明：  使用互信息进行2D图像自动配准源代码,应用平均互信息(The use of mutual information for automatic registration 2D image source code, the application of the average mutual information)

基于灰度直方图的otsu（大津法）改进算法实现图片前景背景分离（matlab代码，实验报告）(Improved algorithm based on gray-scale histogram the otsu (Otsu method) background picture prospects separation (Matlab code, lab report))

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)

说明：  实现图像受混合噪声污染时去除噪声的目的，在6种方法比较之下，得出最优的图像去噪算法(Image by mixed noise pollution when the purpose of removing noise, in the six kinds of methods of comparison, the optimum image denoising algorithm)

实现给定图像中目标的有效监测，并根据颜色对目标分割。(The object can be detector, and it is segmented by the color.)