SAR

使用snake方法进行图像处理的原代码，简单准确(use snake image processing methods for the original code simpler and more accurate)

传统滤波方式如均值滤波，中值滤波，维纳滤波对图像去噪的处理以及自适应中值滤波对图像去噪。(Traditional filtering methods such as mean filtering, median filtering, wiener filtering for image denoising processing and adaptive median filter for image denoising.)

关于利用迭代傅里叶转换算法来处理图像相位的恢复问题的一个程序。(About iterative Fourier transform algorithm is used to dealing with image recovery phase of a program.)

通过erdas遥感软件提取水体的三种操作(Extracting water through software operation of the three operating)

矩形信号的frft（分数傅里叶变换wigner_ville_1.m 单分量信号去噪 wigner_ville_2.m 双分量平行信号去噪 wigner_ville_3.m 3分量信号频率检测）分数傅里叶变换是经典傅里叶变换的另一种改进方式。它的主要特点是提供研究对象从时间域到频率域全过程的综合描述，随着阶数从0连续增长到1，分数傅里叶变换展示出研究对象从纯时间域逐步变化到纯频率域的所有变化特征。因此，分数傅里叶变换提供了远比傅里叶变换多得多的可供选择的数据处理和分析方法。(The rectangular signal FRFT (Fractional Fourier Transform) Score Fourier transform is another modification of the classic Fourier transform. Its main feature is a comprehensive description of the study from the time domain to the frequency domain, with the order of continuous growth from 0 to 1, the fractional Fourier transform demonstrate the object of study from a purely time-domain gradually change to a pure frequency domain variation. Thus, the fractional Fourier transform provides data processing and analysis methods than Fourier transform much more to choose from.)

亮度代表了图像的明暗程度，颜色代表了图像的色度，它包含了色调和饱和度。这个代码可以自动对这三个参数进行调整。(Brightness represents the degree of image brightness, color represents the color image, which includes hue and saturation. This code can be automatically adjusted to the three parameters.)

这是sift特征提取源码，详细介绍了算法原理及应用，对图像图形处理专业人员的重要参考价值！(This is the sift feature extraction source, and detailed algorithm and application of important reference value for image and graphics professionals!)

此程序计算的是两幅图像的峰值信噪比，运行流畅(This program calculates the peak signal to noise ratio of the two images, run smoothly)

基于颜色衰减先验模型的单幅图像快速去雾算法。(A Fast Single Image Haze Removal Algorithm using Color Attenuation Prior)

个人感觉最好用最小二乘支持向量机工具箱，特与大家共享！(Personal feeling is best to use least squares support vector machine toolbox, special to share with everyone!)