SWT

图像修复中基于一幅图像的改进的Criminisi方法的近，算法的时间大大提高，修改效果也不错。(Time based on the improved image Criminisi near algorithm greatly improve image repair, modify the effect is also good.)

基于图像对比度和波段相关性的波段选择算法，适用于高光谱图像的特征选择(Bands selection algorithm based on image contrast and correlation of bands for hyperspectral image feature selection)

SIFT，即尺度不变特征变换（Scale-invariant feature transform，SIFT），是用于图像处理领域的一种描述。这种描述具有尺度不变性，可在图像中检测出关键点，是一种局部特征描述子。 该方法于 1999 年由 David Lowe 首先发表于计算机视觉国际会议（International Conference on Computer Vision，ICCV），2004 年再次经 David Lowe 整理完善后发表于 International journal of computer vision（IJCV） 。截止 2014 年 8 月，该论文单篇被引次数达 25000 余次。(来自百度)(SIFT, namely Scale-invariant feature transform (SIFT), is a description used in the field of image processing. This description has scale invariance and can detect key points in images. It is a local feature descriptor. This method was first published by David Lowe at the International Conference on Computer Vision (ICCV) in 1999 and published in the International Journal of Computer Vision (IJCV) in 2004 after it was sorted out and perfected by David Lowe again. As of August 2014, more than 25,000 citations have been cited. (From Baidu))

说明：  InSAR数据处理研究，其中采用最小二乘和质量图指导两种相位解缠方法(The research of InSAR Data processing)

图像二值化算法，试用效果还不错，欢迎大家试用(Improved Image and Text Binarization Algorithm)

实现了单色图像的JPEG2000编码图像和解码图像！计算其压缩比和误差，观察源图像和重构图像之间的差别！(JPEG2000 images to achieve a monochrome image coding and decoding image! Calculate the compression ratio and error, observation of the source image and the difference between the reconstructed image!)

GFT图片格式转换源码，程序根据腾讯皮肤GFT图片的格式，进行字节集的操作实现GFT图片的转换。(GFT image format conversion source code , the program according to Tencent skin GFT picture format operation byte set to achieve GFT image conversion.)

超高斯光束在自由空间中的衍射传播，利用角谱理论。(Super-Gaussian beam diffraction propagation in free space, the use of the angular spectrum theory.)

processing编写的圆形速度运动代码(processing written in the circular speed of movement code)

本篇论文主要介绍地基云的自动检测！采用阈值分割！(This paper describes the automatic detection of the foundation of cloud! Using thresholding!)