singgle_picture

图像配准程序，包括角点提取，配对，提纯等操作(image registeration ,including connor detection,match and so on)

自己编的特征选择程序，分别包括用顺序前进法(SFS),顺序后退法(SBS),增l 减r 法(l–r)、SFFS法进行选择的程序(own addendum to the feature selection procedures, including the use of sequential forward (SFS). back order (SBS), by reducing r l (l-r), SFFS method to choose the procedure)

采用ESIHE算法增强图像对比度，适用于夜间道路拍摄的图像(ESIHE algorithm is used to enhance image contrast, which is suitable for night road images.)

SAR图像目标检测是SAR ATR(自动目标识别)的关键步骤,也是近年来SAR图像解译应用的一大研究热点.在广泛文献调研的基础上,本文从SAR图像目标检测的历史沿革、研究现状开始,综述了SAR图像目标检测的研究进展及存在问题(SAR image target detection is the SAR ATR (automatic target recognition) a critical step in SAR image interpretation is also applied in recent years, a major research focus. In the extensive literature on the basis of research, this article from the SAR image target detection to the history and study of the status quo began an overview of SAR image target detection Progress and Problems)

说明：  meanshift算法实现目标的跟踪，由视频序列文件中提取出第一帧，定义目标区域，进行跟踪，动态显示跟踪结果(meanshift target tracking algorithm, by the video sequence documents to extract the first frame, the definition of the target area, tracking, tracking the results of dynamic display)

基于MATLAB图像处理的车辆检测与识别（可以看看）基于MATLAB图像处理的车辆检测与识别（可以看看(MATLAB image processing based vehicle detection and recognition (can see) MATLAB image processing based vehicle detection and recognition (can see)

基于GEE平台，landsat影像的随机森立法土地覆盖分类(Land cover classification based on the random son legislation based on the GEE platform.)

说明：  合成孔径雷达CS成像算法，运用该算法获得成像结果(CS synthetic aperture radar imaging algorithm, imaging results obtained using this algorithm)

这是三维点云数据边缘线提取的c++算法，适合于LIDAR数据的三维处理，供大家参考学习(This is 3 d point cloud data edge extraction of c++ algorithm, suitable for LIDAR data 3 d processing, provide everyone reference to study)

说明：  数学地角度来看，信号与图像处理可以统一看作是信号处理（图像可以看作是二维信号），在小波分析地许多分析的许多应用中，都可以归结为信号处理问题。对于其性质随时间是稳定不变的信号，处理的理想工具仍然是傅立叶分析。但是在实际应用中的绝大多数信号是非稳定的，而特别适用于非稳定信号的工具就是小波分析。(Mathematically, signal and image processing can be regarded as signal processing (image can be regarded as two-dimensional signal). In many applications of wavelet analysis, they can be reduced to signal processing. For signals whose properties are stable over time, the ideal tool for processing is still Fourier analysis. However, most of the signals in practical applications are unstable, and the tool especially suitable for unstable signals is wavelet analysis.)