Real-time imagery compression method research

Maotang Li; Jingbo Guo; Jinping Zhao; Yuzhong Liu

doi:10.1117/12.505446

10 November 2003 Real-time imagery compression method research

Maotang Li, Jingbo Guo, Jinping Zhao, Yuzhong Liu

Proceedings Volume 5151, Earth Observing Systems VIII; (2003) https://doi.org/10.1117/12.505446
Event: Optical Science and Technology, SPIE's 48th Annual Meeting, 2003, San Diego, California, United States

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.

Citation Download Citation

Maotang Li, Jingbo Guo, Jinping Zhao, and Yuzhong Liu "Real-time imagery compression method research", Proc. SPIE 5151, Earth Observing Systems VIII, (10 November 2003); https://doi.org/10.1117/12.505446

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