fourier频率中心化

样条函数用于图像放大；可放大任意倍数；五次样条函数的构造 (five splines function)

海杂波生成程序 可以产生两个Bragg峰 对于学习海洋遥感 以及高频地波雷达的同学有很大帮助！(sea clutter)

有关彩色图像分割与复杂场景下目标跟踪方法研究的一篇博士论文(On the color image segmentation and complexity of the scene target tracking methods under study for a Ph D thesis)

基于数学形态学的图像颗粒度分析算法，先去噪再求面积然后绘制颗粒度函数。(based on mathematical morphology particle size analysis algorithms, first try to de-noising area before drawing particles function.)

这些代码主要是IDL语言源码，主要功能：初始化ENVI,定标,大气校正,融合,镶嵌,裁剪,分类(监督+非监督),面向对象特征提取,结束ENVI(These codes are mainly IDL language source code, the main functions: initialization, ENVI, calibration, atmospheric correction, fusion, mosaic, cutting, classification (supervision + non supervision), object oriented feature extraction, ending ENVI)

高动态图像(HDR)合成算法，多曝光图像的配准算法(High dynamic image (HDR) synthesis algorithm, multi-exposure image registration algorithm)

针对可见光与红外图像的特点和难点，提出了可见光与红外图像配准与融合中的关键技术，即: 使用新型的基于一维最大类间方差和最大连通性测量的图像分割方法对源图像进行分割来更好地实行图像粗 配准 使用新型的特征点提取方法，特征点的匹配及误匹配的消除来更好地实行图像精配准 采用新型的基 于区域的树状小波活性测度计算来实现树状小波图像融合 利用自生成神经网络来实现模栩图像融合. (For visible light and infrared images of the characteristics and difficulties, a visual and infrared image registration and integration of key technologies, namely: the use of new one-dimensional based on the largest variance between-class connectivity and the largest measuring method of image segmentation source image segmentation to better implementation of coarse image registration the use of a new type of feature point extraction method, feature points of the match and the elimination of false matches to better the implementation of image fine registration the use of new tree-based wavelet calculated to measure the achievement of the activity tree wavelet image fusion the use of self-generating neural network to achieve image fusion Xu mode.)

一种有效的匹配滤波估算地层品质因子的方法，精度较高，稳定性较好，值得借鉴(A kind of effective method of matched filtering to estimate formation quality factor, high precision, good stability, is worth using for reference)

实现图像的Contourlet变换，显示图像变换后每一层的图像。(Realize the Contourlet transform of the image , each layer of image is displayed after transform.)

说明：  用于特征提取，比较传统的一个方法，应用范围广，适合初学者(For feature extraction)