gac-upwind

小波分解，db4小波分解，分解为4层，可以直接运行(Wavelet decomposition, db4 wavelet decomposition, decomposition level of three layers, can be directly run)

有关于求取图像平均梯度的matlab M 文件；可以为你省去那么一点时间。 ———共享改变未来！———(To strike the image on the average gradient matlab M documents can save you a bit of time.--- Shared change the future!---)

实验图像数据曲线描绘刻画，进行数据拟合：高斯拟合，平滑处理(gaussian nihe)

图像修复程序，专门用于去除图片中大的物体。去除后的图像裂缝通过基于用户手动得到的掩模进行填充。(This project involved removing large objects from images. From a user-specified mask, small patches were duplicated until all remaining gaps were filled. )

数字图像处理，包括图像的卷积，相关，线性滤波处理，边缘检测都是运用labview来完成的。(Digital image processing, including images, linear convolution, filter, edge detection is accomplished using labview)

基于MATLAB的伪彩色图像增强的简单gui程序(A simple GUI program for pseudo color image enhancement based on MATLAB)

SIFT，即尺度不变特征变换（Scale-invariant feature transform，SIFT），是用于图像处理领域的一种描述。这种描述具有尺度不变性，可在图像中检测出关键点，是一种局部特征描述子。[1] 该方法于1999年由David Lowe[2] 首先发表于计算机视觉国际会议（International Conference on Computer Vision，ICCV），2004年再次经David Lowe整理完善后发表于International journal of computer vision（IJCV）。截止2014年8月，该论文单篇被引次数达25000余次。(SIFT, namely Scale Invariant Feature Transform (Scale-invariant feature transform, SIFT), it is a description for image processing. This description has scale invariance, can detect critical point in the image, it is a local feature descriptor. [1] The method in 1999 by David Lowe [2] First published in the International Conference on Computer Vision (International Conference on Computer Vision, ICCV), 2004 was again perfect finishing after David Lowe published in the International journal of computer vision (IJCV) . As of August 2014, the paper cited the number of times a single article of more than 25,000 times.)

一段很好的图像放大缩小程序，解码后可以运行。(A very good image magnification narrow program, the decoding can run. )

光流法的程序，利用传统光流法思想，亲测有效，效果不错(Optical flow method program, pro-test, good results)

说明：  通过高斯、指数、瑞利、gamma、pearson、weibull模型分别对同质区域的SAR图像的强度分布进行拟合(The intensity distributions of SAR images in homogeneous regions are fitted by Gauss, exponential, Rayleigh, gamma, Pearson and Weibull models respectively.)