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1 May 1991 Multisensor image processing
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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.
© (1991) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
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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