Nonstationary

基于压缩感知的图像重构算法啊，很适合用初学者的，本人就很受益(ist algorithm)

说明：  使用python语言实现多张图像的拼接，并且处理拼接之后的裂缝和黑边。(Use python language to achieve splicing of multiple images, and deal with cracks and black edges after splicing.)

用于信号特征提取、信号消噪，MinkowskiMethod算法 ,未来线路预测,分析误差。( For feature extraction, signal de-noising, MinkowskiMethod algorithm, Future line prediction, error analysis.)

说明：  matlab图像去模糊算法代码，使用两倍长度的点扩散函数进行维纳滤波，模糊图像加入随机噪声，计算噪声信号功率比，使用噪声能量和图像一维自相关函数进行维纳滤波，模糊后的图像，减小噪声能量进行规则化滤波，增大拉格朗日乘子进行滤波，继续对恢复的图像反卷积，产生模糊图像，最初的PSF，显示最初PSF下恢复的PSF。(MATLAB image deblurring algorithm code, using double-length point spread function for Wiener filtering, adding random noise to blurred image, calculating noise signal power ratio, using noise energy and image one-dimensional autocorrelation function for Wiener filtering, blurred image, reducing noise energy for regular filtering, increasing Lagrange multiplier for filtering, continue to restore the image. Like deconvolution, a blurred image is generated. The original PSF displays the restored PSF under the original PSF.)

基于GEE平台，landsat影像的随机森立法土地覆盖分类(Land cover classification based on the random son legislation based on the GEE platform.)

图像质量评价的一个重要的指标：平均结构相似度（MSSIM），比PSNR有更好的性能，并且计算简单。(Image quality assessment is an important indicator: Average structural similarity (MSSIM), better than the PSNR performance, and easy to compute.)

ENVI二次开发去云处理补丁，可用于去除薄云影响(ENVI secondary development to cloud processing patch, can be used to remove the cloud-affected)

说明：  自己实现的canny边缘检测算子，包括高斯滤波，非极大值抑制，双阈值处理，边缘细化等步骤。(Own implementation of canny edge detection operator, including the Gaussian filtering, non-maxima suppression, double threshold, edge thinning step.)

中科院图像理解与计算机视觉课件6 值得参考一下 some topics on pattern recognition and computer vision(Chinese Academy of Sciences and Computer Vision Image Understanding Courseware 6 worth refer to some topics on pattern recognition and computer vision)

这是一个关于图割算法（graphcut）的MATLAB代码实现的。实现了用MATLAB来实现的参数估计，并且可以用于三维重建。(Here is a graph cut algorithm (graphcut) of the MATLAB code implementation. Achieved using MATLAB to implement the parameter estimation, and can be used for three-dimensional reconstruction.)