SAR强度分布拟合

C# 界面皮肤

说明：  图像边缘检测，图像中值滤波和MATLAB处理(Digital Image processing based on FPGA)

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)

（1） 进行小波的图像消噪处理 （2） 进行小波的图像压缩处理 （3） 进行小波的图像增强处理 ((1) Wavelet Image Denoising (2) Wavelet Image Compression (3) Wavelet Image Enhancement)

处理Gamma乘性噪声的PPB方法，考虑了非局部patch的相似性，可处理SAR图像去噪。(The PPB method for multicative noise removal, which based on the Probabilistic Patch similarity.)

使用HIO算法实图像现相位恢复，包含源代码，简单实用，适于初学者学习。(HIO algorithm using real image recovery phase now, including source code, simple and practical, suitable for beginners to learn.)

Pre-stack migration applied to GPR for landmine detection

数字图像处理的非常面全的图片，包含有各种格式的和大小的。(there are many kids of images that used to digitial image pricessing,including lena,boat,cman images)

在尽可能好的代表原始数据的前提下，PCA通过线性变换将高维空间中的样本数据投影到低维空间中。(In the best possible on behalf of the original data, under the precondition of PCA through linear transformation in the high-dimensional space sample data projection to low dimensional space)

Criminisi算法修复彩色图像，详细的程序，可以直接运行。(Criminisi algorithm for RGB images )