high-resolution-sar

人脸识别手册，在里面详细的介绍了关于人脸检测的相关知识。不过是全英文的，如果有英语比较好，时间比较多愿意翻译这本书的人请留言。(Face Recognition manual inside detail on the face detection of the relevant knowledge. But is English, if English is better, more time is willing to translate this book, please post.)

用SAE 深度学习方法做的高光谱图像分析的一个例子。里面有sae方法还有高光谱图像的特征提取过程。(One example of the depth of learning to do with SAE hyperspectral image analysis. There are sae method has hyperspectral image feature extraction process.)

1.从图像中识别几何形状的基本方法；基本原理是在于利用点与线的对偶性，将原始图像空间给定的曲线通过曲线表达形式变为参数空间的一个点，这样就把原始图像中给定的检测问题转化为寻找参数空间的峰值问题。 2.基于Gabor变换的人眼检测MATLAB实现。 3.基于Radon的车牌矫正方法。 4.基于模型函数headata产生不同大小的头模型数据。 5.基于函数wdcbm2()设置图像分层阈值压缩参数，实现图像压缩(The basic method of identifying geometry from the image; the basic principle is to use point and line duality, the original image space curve given expression through the curve into a parameter space of a point, so the peak detection problem is given in the original image is transformed into searching the parameter space.)

对比度拉伸，对原始图像进行对比度拉伸，从而得到拉伸后的图像(tensile contrast, the original image contrast stretching, and thus drawing the images)

文献，基于融合和聚类的遥感图像变化检测技术(Literature, based on remote sensing image fusion and change detection clustering technology)

click energie of image , we can use it to calculate markov field ... and other

利用改进的“参考白”算法对彩色图像进行光照补偿(Using improved "reference white" algorithm to compensate illumination of color image.)

粒子滤波器（particle filter）程序，用粒子滤波器跟踪运动物体。(Particle filter (particle filter) process, with particle filter to track moving objects.)

对有雾的图像运用大气散射模型进行处理，通用的大四散射模型与图像的饱和度有一定关系，于是利用HSV模型中的饱和度H进行去雾处理(On a foggy image processing using atmospheric scattering model, saturation senior general scattering model have a certain relationship with the image, so the use of HSV model saturation H were treated to fog)

用matlab语言实现图像的腐蚀和膨胀，不是用自带函数(Language with matlab image erosion and dilation, not with their own function)