STARFM_single

2D dla mode good procedures, procedures written in very simple, easy-to-read, but not simple!

说明：  根据粒径尺寸和数量生成随机骨料，添加钢纤维及聚丙烯纤维(Generate random aggregate)

3d球坐标 球坐标绘图 直角转极坐标 画三维图( SPHERE3D(Zin,theta_min,theta_max,phi_min,phi_max,Rho,meshscale) plots the 3D profile Zin as a mesh plot on a spherical surface of radius Rho, between horizontal sweep angles theta_min and theta_max and vertical phi_min and phi_max, with mesh size determined by meshscale. )

一个比例和方向自适应均值漂移跟踪算法（SOAMST） 提出本文所要解决的问题，如何估计的规模和方向 改变均值漂移下的目标跟踪框架。在原来的均值偏移 跟踪算法，可以很好地估计目标的位置，规模的同时， 方向的变化，不能自适应估计。考虑到图像（重量） 是来自于目标运动模型和候选模型可以代表的可能性，一个 像素属于目标，我们证明了原来的均值漂移跟踪算法可以 推导出的重量图像的零阶和一阶矩。随着零阶 矩和目标模型和候选模型之间的Bhattacharyya系数， 提出了简单而有效的方法来估计的规模为目标。然后一种方法， 利用估计的区域和第二阶中心矩，提出 自适应地估计目标的宽度，高度和方向的变化。广泛 实验来证实所提出的方法，并验证其可靠性 规模和方向变化的目标。(A scale and orientation adaptive mean shift tracking (SOAMST) algorithm is proposed in this paper to address the problem of how to estimate the scale and orientation changes of the target under the mean shift tracking framework. In the original mean shift tracking algorithm, the position of the target can be well estimated, while the scale and orientation changes can not be adaptively estimated. Considering that the weight image derived from the target model and the candidate model can represent the possibility that a pixel belongs to the target, we show that the original mean shift tracking algorithm can be derived using the zeroth and the first order moments of the weight image. With the zeroth order moment and the Bhattacharyya coefficient between the target model and candidate model, a simple and effective method is proposed to estimate the scale of target. Then an approach, which utilizes the estimated area and the second order center moment, is proposed to adaptively e)

对模糊变量进行随机化,并用高斯分布进行概率求解,无密码(To randomization of fuzzy variables, and probability to solve with the gaussian distribution, no password)

光斑的中心提取：重心法和圆拟合。先用多次迭代求阈值并且对图像二值化，再用重心法和圆拟合提取光斑中心。(light spot method：median point ，circle fitting)

一种稀疏角度下的重建算法，该算法是在matlab平台上实现的CT重建算法(A sparse angle reconstruction algorithm)

3D volumetric reconstruction using voxel coloring algorithm

二维图像的基本处理，包括imfilter等matlab库函数的移植(The basic two-dimensional image processing, including imfilter matlab library function such as migration)

从起始点和终止点同时进行RRT搜索，有效加快了搜索速度(RRT search at the same time from the starting point and the ending point effectively accelerates the search speed.)