Spatial resolution enhancement of Hyperion hyperspectral data

Author

Nikolakopoulos, Konstantinos G.

Author_Institution

Inst. of Geol. & Miner. Exploration, Athens, Greece

fYear

2009

fDate

26-28 Aug. 2009

Firstpage

1

Lastpage

4

Abstract

In this study eight fusion techniques and more especially the Ehlers, Gram-Schmidt, high pass filter, local mean matching (LMM), local mean and variance matching (LMVM), modified IHS (Modihs), Pansharp and PCA, were used for the fusion of Hyperion hyperspectral data with ALI panchromatic data. Both sensors are part of the Earth-Observing 1 satellite. The panchromatic data have a spatial resolution of 10 m while the hyperspectral data have a spatial resolution of 30 m. All the fusion techniques are designed for use with classical multispectral data. Thus, it is quite interesting to investigate the assessment of the common used fusion algorithms with the hyperspectral data.

Keywords

high-pass filters; image enhancement; image fusion; image resolution; principal component analysis; ALI panchromatic data; Earth-observing satellite; Ehlers fusion techniques; Gram-Schmidt fusion techniques; Hyperion hyperspectral data; PCA; Pansharp fusion techniques; classical multispectral data; high pass filter; local mean and variance matching; local mean matching; principal component analysis; spatial resolution enhancement; Hyperspectral imaging; Hyperspectral sensors; Image fusion; Least squares approximation; Matched filters; Optical noise; Principal component analysis; Remote sensing; Satellite broadcasting; Spatial resolution; ALI; Hyperion; Hyperspectral; fusion;

fLanguage

English

Publisher

ieee

Conference_Titel

Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2009. WHISPERS '09. First Workshop on

Conference_Location

Grenoble

Print_ISBN

978-1-4244-4686-5

Electronic_ISBN

978-1-4244-4687-2

Type

conf

DOI

10.1109/WHISPERS.2009.5288996

Filename

5288996