极化sar处理

在VC6.0环境下，借助openCV函数库，对视频中的人脸进行检测，并实时跟踪，然后用Haar特征的分类器定位人脸，并检测瞳孔存在与否，提取关于眼睛的疲劳信息(In VC6.0 environment, with the aid of openCV function library, to detect human faces in video, and real-time tracking, positioning and use characteristics of Haar classifier faces, and examine the pupil existence, to extract the information about the fatigue of the eye)

孔径雷达图像固有的相干斑噪声严重降低了图像的可解译程度，影响了后续目标检测、分类和识别 等应用。因此，SAR图像的相干斑抑制问题一直是SAR图像应用的重要课题之一。一个理想的去斑算法应该在平 滑的同时保持图像的边缘等细节不受损失，目前存在各种各样的算法，但没有一种方法能够完美的满足这一要求。 本文对SAR图像的相干斑抑制问题进行了全面系统的研究，分析了相干斑的形成原因，总结了目前存在的相干斑 抑制算法的主要思路，介绍了具有代表性的算法，并对各种算法的性能进行了定性分析和比较，给出了去斑算法定 量评估方法(The inherent speckle noise of the aperture radar image seriously reduces the degree of interpretation of the image, and affects the detection, classification and recognition of the subsequent targets. And other applications. Therefore, the problem of speckle suppression in SAR images has been one of the most important topics in the application of SAR images. An ideal speckle algorithm should be flat At the same time, the details such as edges of images are not lost. There are various algorithms at present, but none of them can satisfy this requirement perfectly.)

实现了20000*20000以上的大tiff格式遥感图像的读写和显示，用于遥感图像处理(Achieve a 20,000* 20,000 or more large remote sensing image tiff format to read and write and display for remote sensing image processing)

说明：  滤波是将信号中特定波段频率滤除的操作，是抑制和防止干扰的一项重要措施，滤波分为经典滤波和现代滤波。(Filtering is the operation of filtering out the specific band frequency of the signal, which is an important measure to suppress and prevent interference. Filtering is divided into classical filtering and modern filtering.)

实现SAR复数数据bin文件的读取、写入，可被ENVI、PolSARpro等软件读取(SAR complex data read and write)

c++编写的一个简单的类似Photoshop的图像编辑系统(c++ written in a simple system similar to the Photoshop image editing)

模糊图像的去模糊处理，主要有利用hough变换估计模糊方向，利用radon变换估计模糊长度。(Blurred image deblurring process, mainly using the estimated blurring direction hough transform, radon transform using the estimated blur length.)

色彩空间转换，支持RGB, YUV, HSV, HSL, Lab, Luv等格式(Color space conversion, support for RGB, YUV, HSV, HSL, Lab, Luv, etc. formats)

利用最小二乘法，可以自动实现图像中的椭圆检测并拟合出来，效果很好(Ellipse detection and fitting them to achieve)

说明：  python实现的运用brief算法提取特征点的图像拼接(The implementation of Python using brief algorithm to extract feature points of image mosaic)