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High-Resolution Reconstruction of Multispectral Imagery Based on Panchromatic Imagery

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1 Author(s)
Sang-Hoon Lee ; Kyungwon Univ.

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 at the higher resolution the multispectral images which agree with the spectral values observed from the sensor of the lower resolution values. It uses a regression model of second order for panchromatic and multispectral images. Based on the regression model, the multispectral images at the higher spatial resolution of the panchromatic image are optimized by a quadratic programming. In this study, the new method was applied to the IKONOS 1 m panchromatic and 4 m multispectral data. The results show its capability to reconstruct high-resolution imagery from multispectral data of low-resolution.

Published in:

Geoscience and Remote Sensing Symposium, 2008. IGARSS 2008. IEEE International  (Volume:2 )

Date of Conference:

7-11 July 2008

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