NCSA

基于MAP_MRF模型的SAR图像道路提取(Model-based SAR image MAP_MRF Road Extraction)

图像库中有240幅完整的和残缺的飞机和舰船遥感图像。可用hu矩对其特征提取，用于分类。(Image library has 240 complete and incomplete aircraft and ships remote sensing images. Available hu moments of its feature extraction for classification.)

详细介绍了图像融合的数字水印技术，可以作为毕业设计的良好借鉴素材(Details of the digital watermarking technique of image fusion can be used as a good reference material Graduation)

基于低频融合算法和小波变换编写的图像融合Matlab程序，包含了基本的小波图像分解与重构程序。(Fusion algorithm based on the low-frequency and wavelet transform image fusion prepared Matlab procedures, including the basic wavelet image decomposition and reconstruction process.)

SVM实现数据分类，可自行选取核函数，用于图像分割操作。程序可自动训练分类平面。(SVM for data classification, are free to select the kernel function，For image segmentation operation. The program can automatically train classifiers plane.)

fingerprint normalise

利用FFT傅里叶变换，去除影像中的条带噪声(Removal of image noise)

基于MRF模型的变化检测算法仿真 MRF建模用于SAR去噪，再通过EM算法实现变化检测(MRF model-based change detection algorithm simulation)

这是自己编的卷积型小波包的分解程序，用于机械故障特征提取，实现了克服Mallat算法数据量减少和产生虚假频率的缺陷(Own series of convolution type of wavelet packet decomposition procedures for mechanical fault feature extraction to overcome the defects of the the Mallat algorithm decrease in the amount of data and produce false frequency)

稀疏自适应匹配追踪算法，无需稀疏度，就可以重构原始信号。(Sparse adaptive matching pursuit algorithm, without sparsity, we can reconstruct the original signal.)