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http://dx.doi.org/10.7780/kjrs.2007.23.6.547

High Resolution Reconstruction of Multispectral Imagery with Low Resolution  

Lee, Sang-Hoon (Kyungwon University)
Publication Information
Korean Journal of Remote Sensing / v.23, no.6, 2007 , pp. 547-552 More about this Journal
Abstract
This study presents an approach to reconstruct high-resolution imagery for multispectral imagery of low-resolution using panchromatic imagery of high-resolution. The proposed scheme reconstructs a high-resolution image which agrees with original spectral values. It uses a linear model of high-and low- resolution images and consists of two stages. The first one is to perform a global estimation of the least square error on the basis of a linear model of low-resolution image associated with high-resolution feature, and next local correction then makes the reconstructed image locally fit to the original spectral values. In this study, the new method was applied to KOMPSAT-1 EOC image of 6m and LANDSAT ETM+ of 30m, and an 1m RGB image was also generated from 4m IKONOS multispectral data. The results show its capability to reconstruct high-resolution imagery from multispectral data of low-resolution.
Keywords
High-resolution; Reconstruction; Least Square Error; RGB Image;
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