摘要
通过对亚像元理论的分析,对两帧错半个像元的遥感图像进行复小波插值,引入基于层间的小波自适应阈值方法去除噪声,并通过重构得到更高分辨率的遥感图像,同时,算法对遥感图像的复原效果好于常用的方法。
Composing superresolution of the remote sensing images can remedy the deficiency of the remote sensor. However, precision of the common interpolations are not high. The paper analyzes the subpixel theory of the remote sensing image and interpolates two images offsetting subpixel in order to reconstruct high resolution image. The algorithm of adaptive threshold wavelet denoising based inter-scale is used. Experiment results show this algorithm is better than common methods.
出处
《中国工程科学》
2008年第11期76-81,88,共7页
Strategic Study of CAE
基金
香港特区政府研究资助局项目(CHUK/4180/01E)
江苏省教育厅自然科学基金资助项目(04KJD520037)
关键词
亚像元
复小波
自适应阈值
重建
去噪
subpixel
complex wavelet
adaptive threshold
reconstruction
denosing
