ssr1

将Radarsat2极化SAR图像数据转换为散射矩阵及相干矩阵T3的matlab代码,附上的图像文件是用Enviview软件截取转存的各通道实部虚部文件,以及lutsigma.xml查找表文件.作者辛苦所做,希望对SAR初学者有所帮助.(Will Radarsat2 polarization SAR image data is converted to T3 scattering matrix and the coherent matrix of matlab code, the attached image file is transferred Enviview software maintained by the interception of the real part imaginary part of the channel files, and lutsigma.xml lookup table file. Of the hard done, in the hope SAR to help beginners.)

说明：  基于卡尔曼滤波的camshift算法，实现目标跟踪(CAMSHIFT algorithm based on Kalman filter for target tracking)

经典ldpc编译码程序 gallager的博士论文里的部分仿真程序,(Classic LDPC decoding programming gallagher s doctoral thesis in part of the simulation program,)

halcon检测封闭胶圈，halcon12版本(Halcon detection of closed aprons)

本设计是基于超像素的图像分割代码，可以实现图像前景和后景的分割。没有人机交互界面GUI。( U672C u8BB u8B1 u662F u57FA u5FF u524F u5BF u5BF u5DF u7D0 u7R0 u7684 u56FE u50CF u5206 u5272 u4EE3 u7801 uFF0C u53EF u4E5 u5B9E u73B0 u56FE u50CF u524D u666F U548C u540E u666F u7684 u5206 u5272 u3002 u6CA1 u6709 u4EBA u673A u4EA4 u4E92 u754C u9762GUI u3002)

说明：  基于W-SVD的小波数字水印算法，包括水印生成、水印嵌入和水印检测，理解SVD奇异值分解算法。(Wavelet digital watermarking algorithm based on W-SVD includes watermarking generation, watermarking embedding and watermarking detection, and understanding SVD singular value decomposition algorithm.)

雷达信号处理基础教程，对雷达信号基础处理技术提供了简洁、统一、现代的表述，包括信号模型、匹配滤波、脉冲压缩、多普勒处理，阈值检测等。(Fundamentals of Radar Signal Processing)

本文件用matlab 语言，对kalman滤波的方法进行仿真，画出来原始曲线，观察值，和跟踪曲线，会对初学者有很大的帮助！(this document using Matlab language, Kalman filtering method simulation, sketching out the original curve, observed values, and tracking curve, beginners will be of great help!)

传统的图像分割方法可以分为基于阈值、边缘、区域的方法等，而传统的分割方法在复杂图像分割中效果不好。为了提高图像分割的性能，我们提出了一种基于局部自适应窗口的Otsu方法。首先，分析了传统阈值法在复杂图像分割中不能很好地形成的原因，比较了全局阈值和局部阈值对图像分割的影响。其次，提出了根据局部信息自适应地改变局部窗口大小的方法，分析了该方法的特点。最后，证明了所提出的新方法优于其他方法。实验结果表明，与其他传统方法相比，该方法能保持更多的细节，获得更满意的结果。(The traditional image segmentation methods can be divided into thresholding, edge and region methods. The traditional segmentation methods do not perform well in the segmentation of complicated images. In order to improve the performance of image segmentation, we propose an adaptive windowed range-constrained Otsu method based on local information.First, the reason why traditional thresholding methods do not perform well in the segmentation of complicated images is analyzed. Therein, the influences of global and local thresholdings on the image segmentation are compared. Secondly, a method of adaptively changing the local window size based on local information is proposed, and the characteristics of the proposed method are analyzed. Finally, the superiority of the proposed method over other methods, It is validated by the experiments that the proposed method can keep more details and acquire much more satisfying results as compared with the other conventional methods.)

各种非监督分类遥感算法的IDL代码，包括K均值，ISO聚类(Remote sensing of various non-supervised classification algorithms IDL code, including K-means, ISO clustering)