High Resolution Reconstruction of Multispectral Imagery with Low Resolution

被引：0
|
作者：
Lee, Sang-Hoon [1 ]
机构：
[1] Kyungwon Univ, Seongnam Si, South Korea
来源：
KOREAN JOURNAL OF REMOTE SENSING | 2007年 / 23卷 / 06期
关键词：
High-resolution; Reconstruction; Least Square Error; RGB Image;
D O I：
暂无
中图分类号：
TP7 [遥感技术];
学科分类号：
081102 ; 0816 ; 081602 ; 083002 ; 1404 ;
摘要：
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 1 m 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.
引用
收藏
页码：547 / 552
页数：6
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