imRAG

小波变换方法采用对高频系数平均的方法实现图像融合算法(Wavelet transform coefficients using the average of the high-frequency method to achieve image fusion algorithm)

这是一个摄影测量的前方交会程序，根据给定的（也课自己算出）内外定向参数，课求出地面点的三位坐标(This is a forward intersection photogrammetry procedures, according to a given (also class their calculated) internal and external orientation parameters, derived classes of the three coordinates of ground points)

说明：  共享主成份尺度不变变换PCA-SIFT代码，用于SAR图像配准，希望对各位雷达爱好者和SAR工作者有用！(Principle component analysis, PCA- Scale invariant feature transform-SIFT used for SAR processing. )

射线追踪算法的基础理论和学习，入门课件，适用于地震学(The basic theory and learning of ray tracing)

说明：  FMCW信号处理是通过python脚本实现的，可以总结为： FMCW IF信号预处理 范围-时间地图构造（RTM） 多普勒时间地图构造（DTM） 角度时间地图构造（ATM）(FMCW signal process was implemented by python script, which can be sum up as: FMCW IF signal pre-process Range-Time-Map construction (RTM) Doppler-Time-Map construction (DTM) Angle-Time-Map construction (ATM))

MATLAB的机器视觉工具箱 绝对的精品(MATLAB toolbox of machine vision products absolute)

opencv实现对图像的旋转、平移、缩放(opencv rotate move zoom)

vtk显示点云，和点云三角网格化。 源代码已可运行，不过vtk的环境需要你自己配置(vtk display point clouds, and point cloud triangular grid. Source code has been run, but vtk environment requires you to configure)

3d点云的显示与变深度图，visual C++ 代码(he display and variable depth map of 3D point cloud)

说明：  a）针对合成纹理图像（共有4 个合成纹理图像，见文件夹： Texture_mosaic_data）中每一个像素提取纹理特征向量； b）利用聚类技术（推荐用k‐均值聚类，可以从网上查找原码）对特征向 量空间中的点进行聚类，类别数可根据图像中的实际纹理类数确定。最后把类 属标签映射成图像形式显示（如下图，其中b、d、f、h 为相应的基准分割图像）。(A) for synthetic texture images (there are 4 synthetic texture images in total, see the folder: Texture feature vector is extracted from every pixel in texture; B) use clustering technology (K-means clustering is recommended, and the original code can be found on the Internet) to search the feature direction The number of categories can be determined according to the actual number of texture classes in the image. Last class The generic label is mapped to an image (as shown in the figure below, where B, D, F, h are the corresponding reference segmentation images).)