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说明：  压缩文件中的代码可以读取图片并计算绿色植被的归一化植被指数，直接在IDL中打开即可使用(The code in the compressed file can read pictures and calculate the normalized vegetation index of green vegetation,and you can open it directly in IDL and use it.)

压缩感知CS——采用小波变换进行稀疏表示，高斯随机矩阵为观测矩阵，重构算法为OMP算法，对256*256的lena图处理，比较原图和OMP算法在不同采样比例(0.74、0.5、0.3)下的重构效果，并各运行50次，比较算法性能PSNR和每次的运行时间 (Compressed sensing CS- using wavelet transform as sparse representation, Gaussian random matrix as the observation matrix and OMP algorithm as the reconstruction algorithm. Compare lena figure and the reconstruction results using OMP algorithm at different sampling ratio (0.74,0.50.3),then each runs 50 times, compare the performance of PSNR and each running time)

说明：  用水平集方法进行细胞图像的分割大家可以看看写的有点简单(level set method using cell image segmentation we can see a little bit simpler to write)

基于核函数的SAR图像目标识别,利用KPCA对SAR图像进行特征提取(SAR image target recognition based on kernel function，Use KPCA SAR image feature extraction)

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.)

将空间点的大地坐标投影到椭球面上，进行分带，计算坐标，最后输出高斯投影结果(gauss projection)

2009年CVPR最佳论文,何恺明的基于暗通道的图像去雾的相关论文，ppt以及matlab代码. Dark channel prior 是一种对无雾的图像的统计规律：在无雾图像中，大部分图像块中至少有一个颜色通道具有很小的颜色强度值。利用dark channel prior，可以直接从一幅有雾的图像中估计出雾的浓度，并恢复出高质量的去雾图像。(CVPR best paper in 2009 (He Kai Ming Single Image Removal Haze is the Using the Dark Channel) paper, ppt and the matlab code, it is)

说明：  这是一个用C++语言实现一个指纹识别程序，要求满足FVC国际竞赛标准，并在学校建立的指纹库上实测。程序里应用到的技术有：中值滤波、直方图均衡化、脊线方向提取、Gabor滤波、指纹细化、特征提取、特征点过滤、基于局部特征点的特征匹配(This is a C++ Language realization of a fingerprint identification procedure, the requirements FVC meet international competition standards, and established in the school library on the measured fingerprint. Program applied to the technology are as follows: median filter, histogram equalization, the direction of the ridge line extraction, Gabor filtering, fingerprint thinning, feature extraction, feature point filtering, based on local feature points of the feature matching)

基于ENVI和IDL的以HDF形式存储的已角度配准过后的遥感图像的BRDF计算，使用的核为li_transit和ross_thick。同时还有IDL基础教程和ENVI用户手册。(ENVI and IDL in the order based on HDF have been stored in the form of point of registration after the calculation of remote sensing images of the BRDF, the use of nuclear as li_transit and ross_thick. Along with IDL and ENVI user manual Essentials.)

说明：  对火焰图像的特征进行提取，如火焰闪烁频率、火焰区域面积，火焰燃烧区域裁剪等( the Feature Extraction of flame )