[emuch.net]CIE1931xy.V.1.6.0.2a

高光谱图像的解译是遥感图像应用的一个重要环节。基于线性光谱混合模型的光谱解译技术正在越来越广泛地应用。仿真结果表明，当部分端元参与解译和分区域进行解译时，高光谱图像的解译效果会得到较显著改善。(The unmixing of Hyperspectral imagery is a critical link of the application of remote sensing imagery. Based on linear spectral mixture model, spectral unmixing technology now is being increasingly used. On the basis of it,studying unmixing ways engaged by endmembers in different conditions, comparing and discussing a more effective expression mode of endmembers.)

说明：  求取图像信噪比 均方差 峰值信噪比 逼真度等的matlab 程序函数(Average Absolute Difference，Signal to Noise Ratio (dB)，Peak Signal to Noise Ratio (dB)，Image Fidelity，Mean Square Error，The difference between restoredimg entroy and originalimg，entroy)

SEEDS超像素分割算法的源码，C++实现，可运行(The source code of SEEDS Superpixel picture segmentation)

关于深度玻尔兹曼机的工具箱，可以进行图像的分类和识别。(About Deep Boltzmann Machine Toolbox,which you can use for image classification and identification.)

批处理与重投影MODIS MOD04 数据(Reproject MODIS s mod04 data)

本文主要介绍遗传算法的基本理论，叙述遗传算法在图像增强的的主要应用，即将原始图像变得更加清晰，特征变得更加明显。 现今关于图像增强的算法有很多，而这些算法大多是基于退化函数或者点扩展函数的知识进行图像处理的。当图像出现模糊或噪声影响大时，设计出的图像清晰化的效果肯定不够理想，因此有必要对图像进行增强处理。于是，可利用到遗传算法这种成熟稳定的仿生物进化的全局寻优算法，进行图像增强，由于遗传算法控制参数少、自适应度高，将选择该方法对图像退化分别进行不同的清晰化处理. 这样既增强了图像的对比度,又克服了传统直方图均衡化处理所造成的灰度级损失等缺点。 通过实验去表明，遗传算法从全局寻优的角度出发，能够较为精确地估计退化系统函数。和传统的线性增强、直方图均衡进行比较。实验结果表明该方法能改善原图像视觉效果，便于之后的图像分析。 (This paper mainly introduces the basic theory of genetic algorithm, genetic algorithm (ga) in the main application of image enhancement, the original image is more clear, characteristic becomes more obvious. Today about the image enhancement algorithm are many, and most of these algorithms is based on the degradation function or the knowledge of the point spread function of image processing. When the image appears fuzzy or noise influence, designed the image clarity of effect must not ideal, therefore it is necessary to enhance the image. Then, genetic algorithm is available to the mature and stable evolution of the global optimization algorithm, for image enhancement, due to less genetic algorithm control parameters, since the high fitness, will choose the method of image degradation, respectively, to manipulate the different motivation. It can enhance the image contrast, and overcome the traditional histogram equalization processing grayscale loss caused by the faults. Throug)

bmp文件的读取,2,8,16,24bit自适配(bmp file read,2、8、16、24bit adjust)

用C charp编写的图像滤镜效果，包括源代码。(Image filter effects)

说明：  对数据的独立性进行分析，对数据的预处理（中心化和白化处理）(The independence of data analysis, data pre-processing (center-based and the whitening process))

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