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Proceedings Paper

Fusion of airborne hyperspectral and multispectral images
Author(s): Boris Zhukov; Dieter Oertel; Peter Strobl; Frank Lehmann; Manfred Lehner
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Paper Abstract

The multi-sensor multi-resolution technique (MMT) was applied to fuse a multispectral image obtained by the multispectral scanner DAEDALUS-1268 with the resolution of 6 m and a hyperspectral image obtained by the imaging spectrometer DAIS-7915. The spatial resolution of the DAIS- 7915 image was additionally degraded to 24 m in order to simulate multi-sensor data fusion with a very different sensor resolution, as is typical for satellite sensors. Both sensors had been operated simultaneously on one aircraft. The MMT algorithm includes: (1) (unsupervised) classification of the multispectral image and mapping the classes with the high resolution of the multispectral scanner, (2) retrieval of the hyperspectral signatures of these classes from the hyperspectral image, and (3) generation of the merged image which combines the pixel size of the multispectral scanner and the spectral bands of the imaging spectrometer. Additional low-pass correction of the merged image allowed us to increase significantly its accuracy. The minimal pixel error of 6.9% was obtained when the classification was performed with 256 spectral classes.

Paper Details

Date Published: 17 June 1996
PDF: 12 pages
Proc. SPIE 2758, Algorithms for Multispectral and Hyperspectral Imagery II, (17 June 1996); doi: 10.1117/12.243210
Show Author Affiliations
Boris Zhukov, Space Research Institute (Russia)
Dieter Oertel, DLR (Germany)
Peter Strobl, Univ. of Munich (Germany)
Frank Lehmann, DLR (Germany)
Manfred Lehner, DLR (Germany)

Published in SPIE Proceedings Vol. 2758:
Algorithms for Multispectral and Hyperspectral Imagery II
A. Evan Iverson, Editor(s)

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