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Proceedings Paper

Superresolution image reconstruction using panchromatic and multispectral image fusion
Author(s): M. I. Elbakary; M. S. Alam
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Paper Abstract

Hyperspectral imagery is used for a wide variety of applications, including target detection, tacking, agricultural monitoring and natural resources exploration. The main reason for using hyperspectral imagery is that these images reveal spectral information about the scene that is not available in a single band. Unfortunately, many factors such as sensor noise and atmospheric scattering degrade the spatial quality of these images. Recently, many algorithms are introduced in the literature to improve the resolution of hyperspectral images using co-registered high special-resolution imagery such as panchromatic imagery. In this paper, we propose a new algorithm to enhance the spatial resolution of low resolution hyperspectral bands using strongly correlated and co-registered high special-resolution panchromatic imagery. The proposed algorithm constructs the superresolution bands corresponding to the low resolution bands to enhance the resolution using a global correlation enhancement technique. The global enhancement is based on the least square regression and the histogram matching to improve the estimated interpolation of the spatial resolution. The introduced algorithm is considered as an improvement for Price’s algorithm which uses the global correlation only for the spatial resolution enhancement. Numerous studies are conducted to investigate the effect of the proposed algorithm for achieving the enhancement compared to the traditional algorithm for superresolution enhancement. Experiments results obtained using hyperspectral data derived from airborne imaging sensor are presented to verify the superiority of the proposed algorithm.

Paper Details

Date Published: 3 September 2008
PDF: 8 pages
Proc. SPIE 7072, Optics and Photonics for Information Processing II, 70721N (3 September 2008); doi: 10.1117/12.804166
Show Author Affiliations
M. I. Elbakary, Univ. of South Alabama (United States)
M. S. Alam, Univ. of South Alabama (United States)


Published in SPIE Proceedings Vol. 7072:
Optics and Photonics for Information Processing II
Abdul Ahad Sami Awwal; Khan M. Iftekharuddin; Bahram Javidi, Editor(s)

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