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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.
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
@inproceedings{dias2002_1765650682786,
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"
}
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 -
English