Abstract
Certain sensors such as IKONOS produce panchromatic and multispectral (MS) images at different spatial resolutions. Several efforts have been made to increase the resolution of these MS images using panchromatic image information. In this paper, we present a fast and efficient panchromatic sharpening method that accurately estimates missing high-frequency components. We also use a postprocessing technique to correct color distortion. Experimental results show that the proposed method produced high-quality images and outperformed existing panchromatic sharpening methods in terms of objective quality measures such as universal image quality index, Q4, relative average spectral error, Erreur Relative Globale Adimensionnelle de Synthèse, and correlation.
| Original language | English |
|---|---|
| Article number | 5282597 |
| Pages (from-to) | 155-163 |
| Number of pages | 9 |
| Journal | IEEE Transactions on Geoscience and Remote Sensing |
| Volume | 48 |
| Issue number | 1 |
| DOIs | |
| Publication status | Published - 2010 Jan |
Bibliographical note
Funding Information:Manuscript received September 8, 2008; revised February 11, 2009 and May 20, 2009. First published October 9, 2009; current version published December 23, 2009. This work was supported by the Basic Research Program of the Korea Science and Engineering Foundation under Grant R01-2006-000-112230.
All Science Journal Classification (ASJC) codes
- Electrical and Electronic Engineering
- Earth and Planetary Sciences(all)