xbchuzao

说明：  GOME-2数据反演叶绿素荧光算法代码，添加文件为GOME-2 level 1b级数据时，得到的Fs数组即为反演结果(Code of chlorophyll fluorescence algorithm retrieved from GOME-2 data)

matlab版的低秩表示代码，低秩表示是低秩分解的改进型(Matlab version of low rank representation code, low rank representation is an improved low rank decomposition.)

说明：  使用Splitting算法和GLA算法实现对图像的矢量量化及重新编码和重建。(Vector Quantization:To generate a 16-codeword codebook using Splitting Algorithm and GLA,then use this codebook to code the training image and reconstuct it.)

雷达信号处理一些相关操作，计算其距离向，方位向以及多普勒参数等。(radar signal processing)

一个局部直方图均衡化算法，输入为图像和窗口的长宽，并且长宽只能为奇数(A local histogram equalization algorithm, input images and the length and width of the window, and the length and width of only odd-numbered)

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)

拉普拉斯边缘检测与图像增强，Matlab6.5实现的.m文件，附有原图、检测到的边缘图和增强后的图。(Laplacian edge detection and image enhancement, Matlab6.5 of implementation. M file, with image, detected and enhanced edge map after the map.)

集成ITK、VTK、MFC读取DICOM的代码，建成win32程序即可。运行完美(Integrated ITK, VTK, MFC to read DICOM code, built win32 program can. Works perfect)

针对可见光与红外图像的特点和难点，提出了可见光与红外图像配准与融合中的关键技术，即: 使用新型的基于一维最大类间方差和最大连通性测量的图像分割方法对源图像进行分割来更好地实行图像粗 配准 使用新型的特征点提取方法，特征点的匹配及误匹配的消除来更好地实行图像精配准 采用新型的基 于区域的树状小波活性测度计算来实现树状小波图像融合 利用自生成神经网络来实现模栩图像融合. (For visible light and infrared images of the characteristics and difficulties, a visual and infrared image registration and integration of key technologies, namely: the use of new one-dimensional based on the largest variance between-class connectivity and the largest measuring method of image segmentation source image segmentation to better implementation of coarse image registration the use of a new type of feature point extraction method, feature points of the match and the elimination of false matches to better the implementation of image fine registration the use of new tree-based wavelet calculated to measure the achievement of the activity tree wavelet image fusion the use of self-generating neural network to achieve image fusion Xu mode.)

基于凸集投影算法的超分辨率图像重建算法，在现有算法基础上改进计算精度和效率。(To improve the computational accuracy and efficiency in the existing algorithms based on super-resolution image reconstruction algorithm based on projections onto convex sets algorithm.)