OSGEarth学习资料

主成分分析 （ Principal Component Analysis ， PCA ）或者主元分析。是一种掌握事物主要矛盾的统计分析方法，它可以从多元事物中解析出主要影响因素，揭示事物的本质，简化复杂的问题。计算主成分的目的是将高维数据投影到较低维空间。给定 n 个变量的 m 个观察值，形成一个 n ′ m 的数据矩阵， n 通常比较大。对于一个由多个变量描述的复杂事物，人们难以认识，那么是否可以抓住事物主要方面进行重点分析呢？如果事物的主要方面刚好体现在几个主要变量上，我们只需要将这几个变量分离出来，进行详细分析。但是，在一般情况下，并不能直接找出这样的关键变量。这时我们可以用原有变量的线性组合来表示事物的主要方面， PCA 就是这样一种分析方法。(Principal component analysis (Principal Component Analysis, PCA) or PCA. Is a statistical method to grasp the principal contradiction of things, it can be resolved diverse things out the main factors, revealing the essence of things, simplifying complex problems. The purpose of calculating the main component of high-dimensional data is projected to a lower dimensional space. Given n variables of m observations, forming an n ' m of the data matrix, n is usually large. For a complex matters described by several variables, it is difficult to know, so if you can grab something to focus on key aspects of analysis? If the main aspects of things just reflected on several key variables, we only need to separate out these few variables, for detailed analysis. However, in general, does not directly identify this critical variables. Then we can represent the major aspects of things with a linear combination of the original variables, PCA is one such analysis.)

说明：  破解halcon17.12的dll x86,x64文件(Cracking DLL x86, x64 files of Halcon 17.12)

Space structure with static analysis % elastic beam element space structure with static analysis, elastic beam element

说明：  以python语言为平台，对机载激光雷达原始数据Las格式和txt格式进行读取，并根据信息熵确定维度特征计算的最佳邻域半径，最后计算得到最佳邻域半径和最佳维度特征值(Based on Python language, the Las format and TXT format of airborne lidar raw data are read, and the optimal neighborhood radius is determined according to the information entropy. Finally, the optimal neighborhood radius and the optimal dimension eigenvalue are calculated.)

说明：  facet边缘检测的matlab源代码,是基于二阶模型，只要运行最后一个hhh.m就可以了(facet Edge Detection Matlab source code is based on second-order model, as long as the last one run on the hhh.m)

雷达探测开关，用于检测前方是否有移动的物体?(Radar detection switch for detecting whether there is in front of the moving object?)

这是一个很好的彩色图像分割源代码，实验结果不错，希望对大家有帮助(This is a good color image segmentation source code, experimental results well, want to help everyone)

基于Contourlet变换的多波段SAR图像融合 郑永安 宋建社 周文明 张杰 计算机工程 2007-09-20 期刊(multiband SAR image fusion based on Contourlet transform Zheng Yongan Song Jianshe Zhou Wenming Zhang jie computer engineering the 2007-09-20 journals)

利用matlab的DCT2函数，对图像做变换并压缩。并用8*8对图像分块，对每一块计算均方值作为阈值。(DCT2 use the matlab function, and transform the image so compressed. And 8* 8 image block, a calculation of each mean square value as a threshold.)

光线跟踪算法，能显示基本图形（球形，立方体，墙面），实现阴影，高光，反射，折射等效果(Ray tracing algorithm, can display basic graphics (sphere, cube, wall), to achieve shadows, light, reflection, refraction and other effects)