SARclassify

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)

用差分盒维数处理图像，通过对图像分块，然后每一块来计算该区域的分维数，将其作为该区域所有像素上每一像素的分维数。然后，增强分维数分布图效果，然后取阈值，最后，给人造目标加框。(Differential box counting process the image, the image block, and then every one to calculate the fractal dimension of the region, as all the pixels in the region of each pixel on the fractal dimension. Then enhanced fractal dimension distribution effect, and then take the threshold, and finally, to the man-made objects framed.)

在ycbcr颜色空间分割火焰，并找到火焰质心(Split the flame in the YCbCr color space and find the center of mass of the flame.)

计算三维数据的法矢量并进行调整，里面包括了自己做的实验数据和结果(Three-dimensional data, vector calculation method and make adjustments, which includes the make their own experimental data and results)

图片极坐标转换,可实现极坐标转换，以及求傅里叶变换(Picture polar coordinate conversion, convert polar coordinates can be realized, as well as seeking the Fourier transform)

包含代码：利用BP网络进行图像的主成分分析、BP网络的图像分类应用、数据预处理(Principal component analysis of images using BP network)

说明：  文件有几个基于视网膜的图像增强技术，有SSR，MSR代码(There are several image enhancement technologies based on retina, including SSR and MSR codes.)

该算法是局部线性嵌入的算法，代码无误，已运行，并且附带数据集，可以使用，非常实用。(The algorithm is locally linear embedding algorithm, the code is correct, has been running, and with the data set, you can use, very practical.)

极化SAR图像Four component 目标分解结果，使用数据为Flevoland地区部分数据，可用于极化SAR图像分类(Four component decomposition result of PolSAR image, the used dataset is the subarea of Flevoland region, it can be used as the classification features for PolSAR image classification.)

虹膜识别整个的程序源代码包括虹膜内外边界定位、虹膜特征提取等(Iris recognition throughout the program source code, including the inner and outer boundary positioning iris, iris feature extraction)