QR

这是一个surf特征匹配matlab程序，里面有实例和测试图像(This is a surf feature matching matlab program, there are examples and test images)

基于数学形态学实现振动信号降噪。研究了数学形态滤波器对振动信号在不同类型、不同强度噪声干扰下 的降噪能力，提出了采用开一闭和闭一开组合数学形态滤波器实现旋转机械振动信号降噪处理的方法。通过仿真 计算及实例，检验了形态滤波器的滤波效果，表明数学形态滤波器可以有效剔除脉冲、降低随机噪声干扰，提高 振动信号的信噪比。(The vibration signal noise reduction based on mathematical morphology. Mathematical morphology filter vibration signals in different types, different intensity noise, noise reduction capabilities, proposes using open-closing and close the opening combination of mathematical morphology filter rotating machinery vibration signal noise reduction processing. Simulation and examples, test the morphological filters filtering effect, indicating that the mathematical morphological filter can effectively excluded the pulse, to reduce random noise and improve the signal-to-noise ratio of the vibration signal.)

说明：  用于遥感图像分类。其输入为几幅遥感图像，使用k-mean聚类方法对图像中的不同地形进行聚类分割(For remote sensing image classification. Their input for a number of remote sensing images, the use of k-mean clustering method to image the topography of the different cluster partition)

利用互信息进行特征抽取的方法实现，能找到最具代表的特征，有效的实现了计算量的减少和可用来维数缩减(The use of mutual information feature extraction method of implementation, to find the most representative characteristics of an effective implementation of the computation of the reduction and can be used to reduce the dimension)

matlab编写全极化雷达影像pauli分解，分解为三个分量，希望对你有帮助(matlab write full-polarization radar images pauli decomposed into three components, you want to help)

基于非局部图像去噪模型的遥感图像融合的变分方法。该变分方法采用梯度下降法。(Variational method of remote sensing images nonlocal image denoising model fusion. The variational method using gradient descent.)

锐化效果显示图像 例子

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)

采用8个阵元，利用CAPON算法，进行DOA，画出波达方向估计误差随着信噪比变化的曲线图(Eight elements, the use of the CAPON algorithm of DOA draw the DOA estimation error changes with the SNR curve)

对玻璃表面缺陷图像进行处理，进行分类识别(The glass surface defect image processing, classification and identification)