Satellite Image Fusion Based on Adaptive Component Substitution by Using Partial Replacement

M Anitha, S ArulRaj

Abstract


Preservation of spectral information and enhancement of spatial resolution are regarded as important issues in remote sensing satellite image fusion. In previous research, various algorithms have been proposed. Although they have been successful, there are still some margins of spatial and spectral quality that can be improved. In addition, a new method that can be used for various types of sensors is required.  A new adaptive fusion method based on component substitution is proposed to merge a high-spatial-resolution panchromatic (PAN) image with a multi spectral image. This method generates high-/low-resolution synthetic component images by partial replacement and uses statistical ratio-based high-frequency injection. Various remote sensing satellite images, such as IKONOS-2, Quick Bird, LANDSAT ETM+, and SPOT-5, were employed in the evaluation.


References


Aiazzi.B, Alparone.L, Baronti.S, and Garzelli.A, “Context-driven fusion of high spatial and spectral resolution data based on oversampled.

Aiazzi.B, Baronti.S, and Selva.M,(Oct. 2007)“Improving component substitution pan sharpening through multivariate regression of MS+Pan data,” IEEE Trans. Geosci. Remote Sens., vol. 45, no. 10, pp. 3230–3239.

Carper.W.J., Lillesand.T.M, and Kiefer.R.W,(Apr.1990) “The use of intensity–hue–saturation transformations for merging SPOT panchromatic and multispectral image data,” Photogramm. Eng. Remote Sens., vol. 56, no. 4, pp. 459–467.

Choi.M, “A new intensity–hue–saturation fusion approach to image fusion with a tradeoff parameter,” IEEE Trans. Geosci. Remote Sens., vol. 44, no. 6, pp. 1672–1683, Jun. 2006.

Dou.W, Chen.Y, Li.X, and Sui.D.Z,( Feb. 2007.) “A general framework for component substitution image fusion: An implementation using the fast image fusion method,” Comput. Geosci., vol. 33, no. 2, pp. 219–228.

Garzelli.A and Nencini.F,(2006) “Fusion of panchromatic and multispectral images by genetic algorithms,” in Proc. IEEE Int. Geosci. Remote Sens. Symp., , pp. 3810–3813.

González-Audícana.M, Otazu.M, Fors.O, and Alvarex-Mozos.J.A,( Jun. 2006) “A low computational-cost method to fuse IKONOS images using the spectral response function of its sensors,” IEEE Trans. Geosci. RemoteSens., vol. s44, no. 6, pp. 1683–1691.


Full Text: PDF

Refbacks

  • There are currently no refbacks.


Creative Commons License
This work is licensed under a Creative Commons Attribution 3.0 License.

.......................................................................................................................................................................................................................

ISSN  2279 – 0381 |  IST HOMEJOURNAL HOME | Copyright IST 2012-13

.......................................................................................................................................................................................................................