线性高光谱解混常用算法程序

This is simple calculator program. I m making a GUI calculator interface in MFC. this program works pretty well.

这是一个关于图像处理的程序，能够将像素比较低的图像变成分辨率高的图像.(This is a matter of image processing procedures, can be relatively low-pixel high resolution image into the image.)

在尽可能好的代表原始数据的前提下，PCA通过线性变换将高维空间中的样本数据投影到低维空间中。(In the best possible on behalf of the original data, under the precondition of PCA through linear transformation in the high-dimensional space sample data projection to low dimensional space)

实现图像文件（如bmp等）的读取、显示、真彩图转换成灰度图、灰度图转化为二值图及绘制图像直方图功能。(Achieve an image file (such as bmp, etc.) to read, display, true color conversion to grayscale, converted to grayscale and binary image histogram function to draw the image.)

混合高斯分布EM算法，可以算混合高斯分布的三个参数。混合高斯分布更接近系数分布。(mixed Gaussian distribution EM algorithm can calculate mixed Gaussian distribution of the three parameters. Mixed closer to the Gaussian distribution coefficient.)

itti算法进行感兴趣区域的选择，方法较好，可以直接运行。(itti algorithm select the region of interest ,and this program can run directly)

提出了两个已知波长的消光系数比来表征气溶胶粒子对入射激光衰减特性的方法。(Two known wavelengths of the extinction coefficient of light than to represent the attenuation characteristics of the aerosol particles on the incident laser.)

遥感图像配准，手动选取配准点。包括程序和原图像，待配准图像。(Remote sensing image registration, and manually select with punctuality.)

说明：  当前论文主要考虑的是非信号依赖的高斯噪声下的图像恢复，本程序实现了泊松噪声下的图像恢复，泊松噪声为信号依赖噪声，能够更加有效逼近实际成像系统噪声。( This is the code that was used in the papers "A Nonnnegatively Constrained Convex Programming Method for Image Reconstruction", "Total Variation-Penalized Poisson Likelihood Estimation for Ill-Posed Problems", "Tikhonov Regularized Poisson Likelihood Estimation: Theoretical Justification and a Computational Method", "An Efficient Computational Method for Total Variation with Poisson Negative-Log Likelihood", "An Analysis of Regularization by Diffusion for Ill-Posed Poisson Likelihood Estimation," "An Iterative Method for Edge-Preserving MAP Estimation when Data-Noise is Poisson", and finally, "Regularization Parameter Selection Methods for Ill-Posed Poisson Maximum Likelihood Estimation". See my publications page for more details. The main algorithm is for nonnegatively constrained, regularized Poisson likelihood estimation. At this point you can choose Tikhonov, total variation regularization, and diffusion regularization. A number of other methods are also implemented. Regularizatio)

在信号与系统中，用希尔伯特变换对最小相位信号的实部和虚部进行相互变换，同时包含连续时间傅里叶变换(CTFT),反连续时间傅里叶变换（ICTFT），离散时间傅里叶变换（DTFT），反离散时间傅里叶变换（IDTFT）的程序(In signal and system, transform the real and imaginary part of the signal with minimum phase using Hilbert Transform. CTFT,ICTFT,DTFT and IDTFT are also included.)