Radar_imaging_technology

SAR成像处理的过程是从回波数据中提取目标区域散射系数的二维分布，本质上是一个二维相关处理过程,因此最直接的处理方法是对回波进行二维匹配滤波，但其运算量很大，再加上SAR的数据率本来就高，这使得实时处难于实现。通常，可以把二维过程分解成距离向和方位向两个一维过程，Range-Dopper Algorithm（简称RD算法）(SAR imaging process is two-dimensional distribution of the scattering coefficient of the target area extracted from the echo data, in essence, is a two-dimensional process, the most direct approach is two-dimensional matched filtering of echo, its computationalthe great plus on SAR data rate was high, which makes real-time processing is difficult to achieve. Typically, two-dimensional process can be broken down into the range and azimuth to a two-dimensional process, the Range-Dopper Algorithm. (Referred to as the RD algorithm))

用主成分分析来降维，用Kmeans方法聚类；应用于变化检测中(Principal component analysis is used to reduce dimension with k-means algorithm is used to cluster; change detection)

通过多分辨率分解，实现红外图像的增强，改善图像的对比度(Through a multi-resolution decomposition, to achieve enhanced infrared image)

说明：  模糊C－均值聚类算法,使用VC++与matlab 编程两种方法实现算法(Fuzzy C-means clustering algorithm, using VC++ and matlab programming algorithm in two ways)

I WANT SOURCE CODE FOR IMAGE SEGMENTATION

基于PCNN的特征提取,PCNN用于特征提取时，具体平移、旋转、尺度、扭曲等不变性，这正是许多年来基于内容的图像检索系统追求的目标，同时PCNN用于特征提取时，有很好的抗噪性。而且PCNN直接来自于哺乳动物视觉皮层神经的研究，具有提取图像形状，纹理，边缘的属性。用PCNN能很好地对图像进行签名，将二维的图像的特征提取成一维矢量签名。(Feature extraction of specified object is an important preprocessing stage in machine vision systems. In this paper, we present a novel hybrid feature extraction method using PCNN (Pulse Coupled Neural Network) and shape information. First, we use PCNN firing map train to formulate object’s time signature, then we use roundness of each firing map to formulate object’s shape information vector, the final feature matrix we got is combined time signature and roundness. We take correlations as our judge criteria in our experiments. It has been proved that the algorithm is not sensitivity with the rotation, scaling and translation of the object and is a useful method for target recognition applications.)

本程序是基于web图像的超分辨率重建，借鉴参考了其他人的算法(This procedure is based on the super image resolution of web image reconstruction, reference to other people s algorithm)

图象特征的边缘轮廓提取算法，对初学者很有帮助。(characteristics of the image edge contour extraction algorithm, useful for beginners.)

说明：  VC的一些工程案例，包括车牌识别，人脸识别，图像处理基本操作等(car license recognization system)

这是冈萨雷斯版数字图像处理中的几个函数的实现，包括gmean,以及书中的例题5.7和5.10。(This is the realization Gonzalez version Several digital image processing functions, including gmean, and examples in the book of 5.7 and 5.10.)