Knowledge management system National Space Science Center,CAS
Real-time imagery compression method research | |
Maotang Li; Jingbo Guo; Jinping Zhao; Yuzhong Liu; 北京8701信箱 | |
Department | 火箭与气球探空技术研究室 |
Source Publication | Proceedings of the Society of Photo-Optical Instrumentation Engineers (Spie) |
2003 | |
Pages | 531-539 |
Language | 英语 |
ISSN | 0277-786X |
ISBN | 0-8194-5024-3 |
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. |
Keyword | Real-time Communication Image Compression Ocean Monitor Wavelet-based Algorithm |
Conference Name | Conference on Ocean Remote Sensing and Imaging II |
Conference Date | 2003 |
Conference Place | San Diego, Ca |
Indexed By | CPCI |
Document Type | 会议论文 |
Identifier | http://ir.nssc.ac.cn/handle/122/1636 |
Collection | 其他部室 |
Corresponding Author | 北京8701信箱 |
Recommended Citation GB/T 7714 | Maotang Li,Jingbo Guo,Jinping Zhao,et al. Real-time imagery compression method research[C]. BELLINGHAM:Spie-Int Soc Optical Engineering,2003:531-539. |
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20035151531539.pdf(278KB) | 开放获取 | CC BY-NC-SA | View Download |
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