| Paper: | IMDSP-P8.8 | ||
| Session: | Image and Multidimensional Signal Processing: Applications I | ||
| Time: | Thursday, May 20, 09:30 - 11:30 | ||
| Presentation: | Poster | ||
| Topic: | Image and Multidimensional Signal Processing: Image Quality | ||
| Title: | SUPERRESOLUTION RECONSTRUCTION OF HYPERSPECTRAL IMAGES | ||
| Authors: | Toygar Akgun; Georgia Institute of Technology | ||
| Yücel Altunbaşak; Georgia Institute of Technology | |||
| Russell Mersereau; Georgia Institute of Technology | |||
| Abstract: | Hyperspectral images are used for aerial and space imagery applications including target detection, tracking, agricultural and natural resource exploration. Unfortunately atmospheric scattering, secondary illumination, changing viewing angles and sensor noise degrade the quality of these images. In this paper we introduce a novel superresolution reconstruction method for hyperspectral images. An integral part of our work is to model the hyperspectral image acquisition process. We propose a model that enables us to represent the hyperspectral observations from different wavelengths as weighted linear combinations of a small number of basis image planes. Then a method for applying superresolution to hyperspectral images using this model is presented. The method fuses information from multiple observations and spectral bands to improve spatial resolution and reconstruct the spectrum of the observed scene. | ||
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