Share Email Print
cover

Proceedings Paper

MIVIS evaluation for hyperspectral sensing of the environment
Author(s): Alessandro Barducci; Ivan Pippi
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

Since the 1980s the airborne imaging spectrometers have been more and more used for remote sensing of the environment. At the beginning they were utilized for geological investigations, whereas in the following years they have been applied to study vegetation, sea, atmosphere, snow and ice. Moreover that kind of instrumentation will be placed onboard different satellites. The Daedalus AA5000 Multispectral Infrared and Visible Imaging Spectrometer (MIVIS) is a very promising whisk-broom system, operating at 12 bits resolution in 102 narrow spectral bands from the visible to the thermal infrared. The MIVIS is flown onboard of a CASA 212 aircraft by the CNR-LARA Project. In the summer of 1994 a measurement campaign was carried out in South Italy and hyperspectral data were acquired during the overflight of the volcano Etna from inland to the sea. In order to evaluate the MIVIS performances, we developed some software and algorithms which can perform hyperspectral image processing and visualization under the UNIX operating system with the X Window System. By means of these tools the data were analyzed. Particularly, by applying the Fast Fourier Transform algorithm to selected spectral channels, qualitative information on noise patterns affecting MIVIS images was obtained. Preliminary results are shown and discussed.

Paper Details

Date Published: 24 November 1995
PDF: 6 pages
Proc. SPIE 2585, Remote Sensing for Agriculture, Forestry, and Natural Resources, (24 November 1995); doi: 10.1117/12.227188
Show Author Affiliations
Alessandro Barducci, Institute for Research on Electromagnetic Waves (Italy)
Ivan Pippi, Institute for Research on Electromagnetic Waves (Italy)


Published in SPIE Proceedings Vol. 2585:
Remote Sensing for Agriculture, Forestry, and Natural Resources
Edwin T. Engman; Gerard Guyot; Carlo M. Marino, Editor(s)

© SPIE. Terms of Use
Back to Top