bianyuanjiance

说明：  通过matlab，可以快速得到图像的信噪比，峰值信噪比等。里面也有一些解释(Through MATLAB, the signal-to-noise ratio and peak signal-to-noise ratio of image can be obtained quickly. There are also some explanations)

PIVlab是一个开源的粒子图像测速（PIV）软件。它不仅能够通过图像对计算出速度，而且能够得到、显示和导出多个参数的流动模式。通过一个友好的图形用户界面（GUI），使得的PIV技术分析和数据后处理更加快速、高效。(PIVlab is an open-source particle image velocimetry (PIV) software. It can not only calculate the speed through the image pairs, but also can get, display and export the flow patterns of multiple parameters. Through a friendly graphical user interface (GUI), the PIV technology analysis and data post-processing are faster and more efficient.)

说明：  对指定的一幅含有多个目标的灰度图像，进行基于阈值的图像分割处理，对结果图像进行基于数学形态学的后处理设计，以得到更理想的目标区域。最后对结果图像进行区域标记（以颜色区分不同区域）并提取目标个数、各目标区域的面积、圆形度等特征。(The gray image with multiple targets is segmented based on threshold, and the result image is designed based on mathematical morphology to get a better target area. Finally, we mark the region of the result image (distinguish different regions by color) and extract the number of targets, the area of each target region, roundness and other features.)

polsarpro官方学习教程，系统的说明了polsarpro软件的操作使用，可进行树高反演，地物分类，已经森林模拟数据生成(polsarpro tutorial note)

镜片面形数据通过zernike多项式用协方差方法拟合得到的zernike系数(Zernike coefficients covariance fitting)

用于图像拼接的素材，可用于全景图拼接。主要是JPG形式，可通过SIFT算法进行处理(Material for image stitching, can be used for panorama stitching. Mainly JPG format, can be handled by the SIFT)

下面给出了48项泽尼克多项式，外加一项常数项。需要注意的是，读者并不需要严格按照下文所示的顺序排列这些泽尼克项，实际上在不同的应用和机构会采用不同的排列顺序。 表中的#0项是个常数或者说是平移项（piston term），这一项的系数也代表了平均光程差；而#1和#2项分别是x和y方向的倾斜项（tilt terms），#3代表了聚焦，因此，#1到#3项代表了波前的高斯或者近轴特性；#4和#5项代表了像散和离焦，#6和#7项代表彗差和倾斜，而#8项代表了3级像差和离焦，也就是说#4到#8项为3级相差项；同样地，#9到#15项代表了5级像差，而#16到#24项代表了7级像差，#25到#35项代表了9级像差，#36到#48项代表了11级像差。(Here are 48 Zernike polynomials, plus a constant term. It is important to note that the reader does not need to strictly arrange the Zernike entries in the order shown below, but in fact different orders of arrangement are applied to different applications and institutions. Table #0 is a constant or a shift (piston term), a coefficient of this term also represents the average optical path difference; while #1 and #2 are inclined X and Y direction (tilt terms), #3 represents the focus, therefore, #1 to #3 on behalf of the wavefront. Gauss or paraxial properties; #4 and #5 represent the astigmatism and defocus, #6 and #7 represent coma and tilt, and #8 represents the 3 order aberration and defocus, that is to say #4 to #8 is 3 level difference; similarly, #9 to #15 on behalf of the 5 order aberration #16 and #24, to represent the 7 level #25 to #35 aberration, on behalf of the 9 #36 to #48 aberration, on behalf of the 11 order aberration.)

分别利用 Roberts、Prewitt和 Sobel 算子对原图像进行边缘检测和锐化。(Respectively use Roberts, Prewitt and Sobel operator on edge detection and sharpening the original image.)

ROA算法代码，用来进行SAR图像的道路段检测的比较流行的算法之一(for SAR road detection)

序贯重要性采样——标准粒子滤波算法。可直接使用。(Sequential importance sampling- standard particle filter. Can be used directly.)