Multisensor image processing

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

doi:10.1117/12.46065

1 May 1991 Multisensor image processing

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

Author Affiliations +

Proceedings Volume 1521, Image Understanding for Aerospace Applications; (1991) https://doi.org/10.1117/12.46065
Event: Munich '91 (Lasers '91), 1991, Munich, Germany

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.

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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, and N. Hindley "Multisensor image processing", Proc. SPIE 1521, Image Understanding for Aerospace Applications, (1 May 1991); https://doi.org/10.1117/12.46065

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