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用SAE 深度学习方法做的高光谱图像分析的一个例子。里面有sae方法还有高光谱图像的特征提取过程。(One example of the depth of learning to do with SAE hyperspectral image analysis. There are sae method has hyperspectral image feature extraction process.)

基于PCA的雷达点云数据的形状特征提取,主要是屋顶平面提取(The feature extraction of LiDAR point cloud data based on PCA)

说明：  经典的粒子滤波算法，适用于粒子滤波的初学者更好的了解粒子滤波(Classical particle filter, particle filter for better understanding of particle filter for beginners)

分别用一阶、二阶以及Canny边缘检测算法进行图像边缘检测(Respectively first, second, and Canny edge detection algorithm for image edge detection)

一种特殊的小波图像处理与图像融合技术,可以用于处理图像加密(a wavelet image transform and image code)

离散分数阶傅立叶变换，算法参考 C. Candan, M.A. Kutay, and H.M. Ozaktas. The discrete Fractional Fourier Transform. IEEE Trans. Sig. Proc., 48:1329--1337, 2000 (Discrete fractional Fourier transform algorithm reference C. Candan, MA Kutay, and HM Ozaktas. The discrete Fractional Fourier Transform. IEEE Trans. Sig. Proc., 48:1329- 1337, 2000)

对图像进行平滑处理，能够很好的去除噪声的干扰，锐化图像能得到很好的效果(Of image smoothing, noise removal can be a good interference, sharpening an image can get very good results)

连续投影算法适合初学者使用，可以对光谱数据进行变量选择。(Continuous projection algorithm for beginners to use, you can the spectral data variables.)

本程序利用matlab语言，实现了对高光谱遥感图像的读取并做主成分分析，将结果按贡献率大小顺序排列并显示出来。(This procedure using matlab language to achieve a high spectral remote sensing image analysis components to read and call the shots, according to the results in order of contribution size and display.)

带高斯白噪声的Kalman滤波Matlab代码，每一步都有详细的注释，和kalman滤波的五个公式对应。并有高斯白噪声的产生函数，function G = CreateGauss(E,D,M,N) 产生均值为E,方差为D,MxN的高斯白噪声矩阵(The Matlab code of Kalman filter with Gaussian white noise.)