segmentation-of-SAR-images

说明：  人脸识别的基于独立份量分析文章，英文原版，pdf格式。(an article about face recogoniton based on independent component analysis . original english edition,pdf format. )

视频中静态目标背景下运动的物体的前景提取算法的实现。(The foreground extraction algorithm for moving objects in static background is implemented in video.)

说明：  可见光影像的密集匹配，很经典的算法，效果也非常理想(image matchingimage matching)

此程序是基于互相关的亚像素级图像匹配的代码，此种配准方法误差小，精度高。(This procedure is based on the cross-correlation of sub-pixel image matching of the code, such a registration method error and high accuracy.)

包括常用的IHS,PCA 加权图像融合三种算法的Matlab源代码(Which are used in the IHS, PCA-weighted Image Fusion Algorithm three Matlab source code)

这是计算机图形学中的对二维图形进行基本几何变换的程序(This is a two-dimensional computer graphics in the graphics program of basic geometric transformations)

256色显示文件。在DOS环境下用256原色显示BMP格式的图片。(256-color display documents. In the DOS environment display with 256 color BMP format picture.)

说明：  NPCR and UNCI of image

实现通过用户给定B样条曲线的控制顶点、设定B样条曲线的次数及类型，进而绘制出相应的B样条曲线和对应的基函数图形。并且可以通过鼠标拖拽控制顶点修改B样条曲线和对应的基函数图形。从而，对B样条曲线和基函数的性质有更深入更直观的了解，理解B样条曲线和基函数的对应关系，在以后的学习中能更好地运用B样条曲线。(The number and type of user to achieve a given control vertices B-spline curve, set the B-spline curves, and then draw the corresponding B-spline basis functions and the corresponding graphic. And can be modified by dragging the mouse to control the apex B-spline curves and the corresponding basis function graphics. Thus, the nature of the B-spline curves and basis functions have a deeper and more intuitive understanding, understanding of the correspondence between the B-spline curves and basis functions in later learning to better use of B-spline curves.)

说明：  该方法在传统的极化SAR滤波Lee方法上增加了自适应窗口处理以及滤波参数预估计等步骤，有效的提高了传统的滤波方法的抑制相干斑的能力，同时能够很好的保持极化SAR图像的极化散射特性。(in the traditional method of increasing polarization SAR Lee adaptive filtering window processing and pre-filtering parameters estimation step, effectively improve the traditional filter method of inhibiting the ability to spot coherent while being able to maintain a good polarization scattering characteristics of SAR images.)