利用python开发语言实现landsat5遥感影像的NDVI归一化植被指数的计算(Using Python development language to realize NDVI normalized difference vegetation index calculation of landsat5 remote sensing image)

合成孔径雷达干涉测量技术（INSAR，Interferometric Synthetic Aperture Radar；简称：干涉雷达测量）是以同一地区的两张SAR图像为基本处理数据，通过求取两幅SAR图像的相位差，获取干涉图像，然后经相位解缠，从干涉条纹中获取地形高程数据的空间对地观测新技术。(INSAR (Interferometric Synthetic Aperture Radar) is a new technology of space-to-Earth observation, i

利用数值计算 求解浅水方程，利用了Lax-wendroff有限差分，并附有输出图像展示(The shallow water equation is solved by numerical calculation, and the Lax-Wendroff finite difference method is used with output image display.)

一般的图像增强方法根据增强处理过程所在的空间不同，可分为基于空域和频域的方法。基于空域的方法直接对图像进行处理；基于频域的方法是在图像的某种变换域内对图像的变换系数进行修正，然后再反变换到原来的空域，得到增强的图像。(Generally, image enhancement methods can be divided into spatial and frequency domain methods according to the spatial difference of the enha

This package contains the code which is associated with the following papers: Yu Liu, Zengfu Wang, "Simultaneous image fusion and denoising with adaptive sparse representation". IET Image Processing,vol.9, no.5 ,pp.347-357, 2015 Edite