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Export Reference (APA) 
Dias, J. (2002). Space and Planetary Imaging using JPEG2000. In Proc 7th International Workshop on Simulation for European Space Programmes, ESTEC, Noordwijk, The Netherlands. Noordwijk: ESTEC.
Export Reference (IEEE) 
J. M. Dias,  "Space and Planetary Imaging using JPEG2000", in Proc 7th Int. Workshop on Simulation for European Space Programmes, ESTEC, Noordwijk, The Netherlands, Noordwijk, ESTEC, 2002
Export BibTeX 
@inproceedings{dias2002_1716163017261,
	author = "Dias, J.",
	title = "Space and Planetary Imaging using JPEG2000",
	booktitle = "Proc 7th International Workshop on Simulation for European Space Programmes, ESTEC, Noordwijk, The Netherlands",
	year = "2002",
	editor = "",
	volume = "",
	number = "",
	series = "",
	publisher = "ESTEC",
	address = "Noordwijk",
	organization = "ESA ESTEC",
	url = "https://technology.esa.int/event-category/events-workshops#to-event-tabs"
}
Export RIS 
TY  - CPAPER
TI  - Space and Planetary Imaging using JPEG2000
T2  - Proc 7th International Workshop on Simulation for European Space Programmes, ESTEC, Noordwijk, The Netherlands
AU  - Dias, J.
PY  - 2002
CY  - Noordwijk
UR  - https://technology.esa.int/event-category/events-workshops#to-event-tabs
AB  - The raising demand for Digital content Rights Management (DRM), protection, and security, enables effective on-line 
access, exchange, and trading of all types of digital media items (ranging from a simple text file to a large space or 
planetary image) and, at the same time, support global interoperability of customer devices and traded items, which can 
only be met by a good mix of open architectures and proprietary technologies. In this paper, we present a novel 
integrated architecture that supports the secure handling of large remote sensing ISO JPEG2000-coded images, obtained 
from satellite. This effort is within the scope of further developments and new extensions for this standard, namely: 
- Trans-coding of proprietary digital image formats used in satellite imagery, to the new JPEG2000 format; 
- Inexpensive network clusters for parallel computing to improve the algorithmic process of coding very large digital 
images obtained from satellites. 
- Coding of multi-component and multi-spectral images as well as volumetric images (JP3D); 
- Exploration of interactive online image satellite catalogs (JPIP); 
- Secure transmission, and protection of the image content based on OpenSDRM (JPSEC). 
ER  -