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Proceedings Paper

System for fast image compression: a new tool for the distribution of data
Author(s): Piero L. Chirco; Pietro Evangelisti; Martina Zanarini
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Paper Abstract

Satellite imaging is undergoing a dramatic growth in the last few years. Previously, remote sensing satellites were primarily for scientific or military use. Increasingly, the images obtained by remote sensing satellites are being used by commercial end users. As part of this trend, more remote sensing commercial satellite companies are emerging. Some remote sensing satellites are being developed for commercial purposes, while large distributors are either launching their own remote sensing satellites or marketing satellite imagery for a plethora of end users. This increased interest is due to the large number of forecasted applications offered by civil remote sensing, which may be of interest to sector such as telecommunications, building and public works, agriculture and fishing, environmental and civil protection and risk assessment, management and extraction of natural sources, geology and many others. As a result of a cooperative ESPRIT project co-funded by the European Commission, our company is developing a package based on a hardware implementation of the JBIG algorithm. This algorithm has been chosen for its intriguing characteristics due to its standard and flexible nature. The algorithm allows very good compression ratio when compared to other current codes and fastness is ensured by the hardware implementation.

Paper Details

Date Published: 28 December 1999
PDF: 4 pages
Proc. SPIE 3870, Sensors, Systems, and Next-Generation Satellites III, (28 December 1999); doi: 10.1117/12.373231
Show Author Affiliations
Piero L. Chirco, SOFTEC sas (Italy)
Pietro Evangelisti, SOFTEC sas (Italy)
Martina Zanarini, SOFTEC sas (Italy)


Published in SPIE Proceedings Vol. 3870:
Sensors, Systems, and Next-Generation Satellites III
Hiroyuki Fujisada; Joan B. Lurie, Editor(s)

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