fusion

各个坐标系之间的坐标变化：地心大地坐标到地心空间大地直角系，地心系和测站系，测站系和测站系等之间的变化，旋转，平移。(Coordinate changes between the various coordinate systems: geocentric geodetic coordinate system to the geocentric Cartesian space earth, geocentric system and station lines, change the station, such as lines and lines between stations, rotation, translation)

图像扭曲变形程序，可以对图像进行扭曲变形。 功能：旋转扭曲/球面镜变形，B样条网格变形，TPS网格变形 (Image distortion program, the image may be distorted. Function: Twirl/spherical mirror deformation, B-spline morphing, TPS morphing)

说明：  SAR影像单视数据转为多视数据，数据间相互转化，快捷处理SAR数据(Single-look SAR image data into a more visual data, data inter-conversion, fast processing SAR data)

对普通的粒子滤波和一种改进的粒子滤波算法进行比较，证明改进算法优越性(Of ordinary particle filter and an improved particle filter for comparison, to prove the superiority of improved algorithm)

说明：  下拉框自动提示 输入内容可直接显示出所匹配的所有信息(Drop-down box automatically prompt input all the information can be displayed directly matched)

基于纹理特征的图像检索源码，用双树复小波（DT－CWT）三级分解提取图像的纹理特征(Texture-based image retrieval source code, using dual tree complex wavelet (DT-CWT) to extract texture features three levels of decomposition)

burch型全息图，经测试能正常运行，结果含原图，全息图，再现图(Burch-type hologram, by testing the normal operation, the result with image, hologram, reproduce Figure)

论文介绍了一种SFS 算法的参数估计及其实现。它在考虑自遮掩影响的情况下, 有效地估计了SFS 算法中涉及的各种控制参数, 并引入亮度约束、灰度梯度约束和可积性约束, 计算出表面高度和表面向量, 实现三维重构。最后还指出了在Matlab 中实现需要注意的问题。(The paper introduced a SFS algorithm parameter estimation and its implementation. It under the condition of considering the covering effect, estimates the SFS algorithm effectively involved in all kinds of control parameters, and introduces brightness constraint, gray level gradient constraint and the integrability of constraints, calculate the surface height and surface vector, realize the three-dimensional reconstruction. Finally, points out the problems requiring attention is realized in Matlab. )

Computer Vision:Algorithms and Applications，Richard Szeliski，适合图像处理人群(Computer Vision: Algorithms and Applications, Richard Szeliski, suitable for image processing crowd)

说明：  根据Itti视觉注意模型得到图像的显著区域。本算法简单并且对一般简单的图像能够提取出比较好的显著区域。(According to Itti visual attention model are significant regions in the image. The algorithm is simple and easy on the general good image to extract a significant area.)