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Proceedings Paper

Real-time imagery compression method research
Author(s): Maotang Li; Jingbo Guo; Jinping Zhao; Yuzhong Liu
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Paper Abstract

A very useful Real-Time Ocean Surveying System (RTOSS) has been developing. Because of the real-time transmission and the huge synthesize aperture radar (SAR) imagery data and video imagery data and because of the restricted communication channel and the limited transmitting power condition the image data compression methods have to be developed. The compressed SAR imagery data and video imagery data have to satisfy two conditions: One is the excellent quality reconstruction; another is that the system can work on the real-time operating condition. It is contradictory for the excellent quality reconstruction with the real time system operation. In order to satisfy the real-time operating condition, the wavelet-based SAR imagery and improved H.263-based video imagery compression algorithms have been developed, which is of a high compression multiples and tiny compression distortion. In this paper, several typical SAR imagery compression algorithms are introduced and their performances and practical feasibility are compared. Secondly, the developed compression software that adopts improved H.263-based video imagery methods will be introduced. Finally, some experiment results will be given.

Paper Details

Date Published: 10 November 2003
PDF: 9 pages
Proc. SPIE 5151, Earth Observing Systems VIII, (10 November 2003); doi: 10.1117/12.505446
Show Author Affiliations
Maotang Li, Ctr. for Space Science and Applied Research (China)
Jingbo Guo, Tsinghua Univ. (China)
Jinping Zhao, First Institute of Oceanography (China)
Yuzhong Liu, State Oceanic Administration (China)

Published in SPIE Proceedings Vol. 5151:
Earth Observing Systems VIII
William L. Barnes, Editor(s)

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