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一种亚像元遥感图像的小波复原方法
引用本文:张智,韦志辉,夏德深.一种亚像元遥感图像的小波复原方法[J].计算机科学,2008,35(2):223-225.
作者姓名:张智  韦志辉  夏德深
作者单位:南京理工大学计算机学院,南京,210094
基金项目:香港研究资助局资助项目 , 江苏省教育厅自然科学基金
摘    要:为了复原在轨卫星拍摄的退化遥感图像,以达到精确的对地观测的目的,利用交错半个像素的"亚像元"图像进行交错采样,重建成分辨率更高的的网格,然后对新建出的空格点进行小波插值估计.对插值后图像的高频进行中值滤波,融合两幅错半个像元的图像信息,最后复原成一幅地貌信息更丰富、分辨率更高的遥感图像.试验的仿真图像证明了这种小波复原方法的有效性.

关 键 词:交错采样  复原  亚像元  小波插值

A Way of Remote Sensing Image Wavelet Interpolation and Filter Based on Subpixei Technology
ZHANG Zhi,WEI Zhi-Hui,XIA De-Shen.A Way of Remote Sensing Image Wavelet Interpolation and Filter Based on Subpixei Technology[J].Computer Science,2008,35(2):223-225.
Authors:ZHANG Zhi  WEI Zhi-Hui  XIA De-Shen
Abstract:In order to raise spatial resolution of the remote sensing image,the two offsetting subpixel image are interplace sampled,the data of new high resolution grid are estimated by the way of wavelet interpolation,and then the median filtertechnology is combined.After denoising the high frequency with median filer technology,fusing and reconstructing two low-resolution images offsetting half a pixel into a high-resolution remote sensing image,the result of test proves that the wavelet interpolation and median filter technology is very useful.
Keywords:Interlace sampling  Restoration  Subpixel  Wavelet interpolation
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