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Proceedings Paper

Multisensor image processing
Author(s): Arturo de Salabert; Timothy K. Pike; F. G. Sawyer; I. H. Jones-Parry; A. J. Rye; Clare J. Oddy; D. G. Johnson; David C. Mason; A. L. Wielogorski; T. Plassard; Sebastiano Bruno Serpico; N. Hindley
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Paper Abstract

As the number of remote sensing sensors and the volume of data they collect increase, it becomes more important that systems for the automatic analysis of images are developed. The MuSIP project has developed a proof-of-concept software demonstrator for the fusion and analysis of remotely sensed images within a knowledge-based environment. The target application is the monitoring of forestry using a test dataset comprising optical and radar images spanning a 12 year period. The image data will be supplemented by other spatial information including digital map and geographic data as available. The MuSIP system is being implemented on a SUN-4 workstation with selected low level algorithms accelerated by a transputer based processor. The first phase of the MuSIP project was a 2 year (30 man year) ESPRIT project completed in February 1991.

Paper Details

Date Published: 1 May 1991
PDF: 15 pages
Proc. SPIE 1521, Image Understanding for Aerospace Applications, (1 May 1991); doi: 10.1117/12.46065
Show Author Affiliations
Arturo de Salabert, MBB Space Communications and Propulsion Systems Div. (Germany)
Timothy K. Pike, MBB Space Communications and Propulsion Systems Div. (Germany)
F. G. Sawyer, Marconi Space Systems Ltd. (United Kingdom)
I. H. Jones-Parry, Marconi Space Systems Ltd. (United Kingdom)
A. J. Rye, GEC-Marconi Research Ctr. (United Kingdom)
Clare J. Oddy, GEC-Marconi Research Ctr. (United Kingdom)
D. G. Johnson, GEC-Marconi Research Ctr. (United Kingdom)
David C. Mason, Univ. of Reading (United Kingdom)
A. L. Wielogorski, Hunting Technical Services Ltd. (United Kingdom)
T. Plassard, Thomson-CSF (France)
Sebastiano Bruno Serpico, Univ. di Genova (Italy)
N. Hindley, Marconi Command and Control Systems (United Kingdom)


Published in SPIE Proceedings Vol. 1521:
Image Understanding for Aerospace Applications
Hatem N. Nasr, Editor(s)

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