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说明：  用于基本的envi熟悉认知，步骤清晰，亲历亲为，切实可用(It is used for basic envi, familiar with cognition, clear steps, personal experience and practical use)

适合作为MATLAB的入门级教材使用，其中GUI设计部分参考价值较高。(An elementary course of MATLAB.)

说明：  VC++.NET车牌识别、字符分割与归一化处理，图像对象BMP格式，程序将读取车牌的图像信息，归一化图像大小，动态分配存储图片的像素信息的二维数组，找到图像各列，从左列开始,垂直扫描，实施图片局部分割等，有兴趣编写车牌号识别的可参考对比下。(VC ++. NET license plate recognition, character segmentation and normalization processing, image object BMP format, the program will read the license plate image information, normalize the image size, dynamically allocate a two-dimensional array of pixel information to store the picture, and find the image columns , Starting from the left column, vertical scanning, partial image segmentation, etc. If you are interested in writing the license plate number recognition, please refer to the comparison.)

采用jerk模型对机动目标跟踪算法的实现(Using jerk model maneuvering target tracking algorithm)

本算法一种基于量子遗传算法的图像增强方法，包含多个m子文件。使用量子旋转门(The algorithm based on quantum genetic algorithm of image enhancement methods, contains more than one m subfolders. The use of quantum revolving door)

将图片通过灰度值转化为文字符号，并排列为原来图像的样式。 (Convert image by gray scale value into text symbols, side by side as the style of the original image. )

这是一个简单图像处理的GUI程序。实现的功能有：直方图统计，直方图拟合，边缘提取和自定义模板算子处理。界面采用的是ENVI 4.7的风格。(This is a simple image processing GUI program. Implemented features are: histogram, histogram fitting, edge extraction and custom template operator handling. Interface using the ENVI 4.7 style.)

基于YCgCr色彩空间与几何信息的人眼定位方法(YCgCr color space and geometry based on the information the human eye location methods)

VC.NET图象处理,采用基于CImage类的图象处理技术,封装的函数为基本的图象处理部分,如几何变换等等,开发环境为VC++.NET(VC.NET image processing, based on CImage kind of image processing technology, Packaging for the basic functions of image processing, such as geometric transformation, and so on, the environment for the development of the VC.NET)

这些代码主要是IDL语言源码，主要功能：初始化ENVI,定标,大气校正,融合,镶嵌,裁剪,分类(监督+非监督),面向对象特征提取,结束ENVI(These codes are mainly IDL language source code, the main functions: initialization, ENVI, calibration, atmospheric correction, fusion, mosaic, cutting, classification (supervision + non supervision), object oriented feature extraction, ending ENVI)