Robust remote sensing still image coding with low memory requirements

被引：0
|
作者：
da Cunha, ALA [1 ]
Finamore, WA [1 ]
da Silva, EAB [1 ]
机构：
[1] Pontificia Univ Catolica Rio de Janeiro, Ctr Estudos Telecomunicacoes, CETUC, BR-22453 Rio De Janeiro, RJ, Brazil
来源：
IGARSS 2002: IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM AND 24TH CANADIAN SYMPOSIUM ON REMOTE SENSING, VOLS I-VI, PROCEEDINGS: REMOTE SENSING: INTEGRATING OUR VIEW OF THE PLANET | 2002年
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
An scheme for the efficient transmission of remote sensing satellite (RSS) images is presented in this paper. A joint source/channel coding solution was used to deal with the conflicting issues of data compression, to reduce the amount of data to be sent, and data protection, to cope with errors introduced by the channel, issues further burdened by the stringent low complexity and low memory requirements brought by the need for on-board compression. Results are presented showing that the proposed scheme attains good PSNR performance while still maintaining low complexity.
引用
收藏
页码：3305 / 3307
页数：3
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