Title :
Restoration of Hyperspectral Remote Sensing Image Based on MTF
Author :
Wu Wenbin ; Zhao Xuejun
Author_Institution :
Beijing Univ. of Posts & Telecommun., Beijing, China
Abstract :
Due to the effect of atmosphere, optics, detector and satellite motion etc, remote sensing images were often degenerated. Image restoration technology can improve image quality and interpretation capability. This paper summarized how to use edge method to measure the MTF of hyperspectral remote sensing image step by step, including the theory of edge method and the measure. It introduced the way of wiener filter and analyzed the mean, variance, entropy, average gradient, edge energy. Experimental results indicate that the quality of the image restoration based on MTF has obviously improved, and achieved good restoration results.
Keywords :
Wiener filters; hyperspectral imaging; image restoration; optical transfer function; remote sensing; MTF; Wiener filter; atmosphere effect; detector effect; edge method theory; hyperspectral remote sensing image; image quality; image restoration technology; modulation transfer function; optics effect; satellite motion effect; Hyperspectral Remote Sensing Image; Image Restoration; Modulation Transfer Function(MTF); Wiener Filter;
Conference_Titel :
Information Science and Engineering (ISISE), 2012 International Symposium on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4673-5680-0
DOI :
10.1109/ISISE.2012.106