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说明：  基于非下采样contourlet变换的多视点视频图像融合的MATLAB源码，可以成功运行(Nonsubsampled based multi-view video contourlet Transform MATLAB source image fusion can be run successfully)

这是一个地震数据多尺度分析和处理的文章.内容相当丰富,不仅仅增加地质方面的知识,更重要的是可以学到很多数据处理和小波分析方面的知识.(This is a multi-scale seismic data analysis and processing of the article. Fairly rich, is not only increasing geological knowledge, the more important it is to learn a lot of data processing and wavelet analysis knowledge.)

N-FINDR算法，高光谱图像无先验知识下的端元提取算法，最后计算每种端元的丰度(N-FINDR algorithm for hyperspectral image without prior knowledge of endmember extraction, and calculate the abundance)

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)

文档里，给出了基于交互式多模型方法的目标跟踪原理建模的方法，并附带了分析和仿真程序，很不错的，值得下载学习(Documentation, tracking principle gives the modeling method based on the target interactive multiple model approach, and comes with analysis and simulation procedures, very good, it is worth learning download)

说明：  遥感信息工程学院遥感原理与应用课程实习监督分类(Supervised of Remote Sensing Principle and Application Course Practice)

稀疏矩阵字典的优化KSVD，本人已进行测试，效果甚佳,可以用在图像，数据的压缩和分类(Sparse dictionary optimization KSVD, I have been tested, very good results)

说明：  边缘特征的提取就是求图像梯度的局部最大值和方向。实际计算中，以微分算子的形式表示，并采用快速卷积函数来实现。常用的算子有微分算子，拉普拉斯算子，Canny算子等。其中Canny边缘检测是一种较新的边缘检测算子，具有较好的边缘检测性能，得到越来越广泛的应用。Canny边缘检测法利用高斯函数的一阶微分，它能在噪声抑制和边缘检测之间取得较好的平衡(Edge feature extraction is to seek the local maximum of image gradient and orientation. The actual calculation to the form of differential operator representation, and using fast convolution function to achieve. Commonly used operators are differential operators, Laplace operator, Canny operator and so on. Canny edge detection which is a relatively new edge detection operator, and has good edge detection performance, get more and more widely used. Canny edge detection method using first derivative of Gaussian function, it can in the noise suppression and edge detection to achieve a better balance between)

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基于MAP的超分辨率重建算法，附有说明，使得大家方便运行。(The super-resolution by map.)