Title :
Robust remote sensing still image coding with low memory requirements
Author :
Cunha, Arthur L A da ; Finamore, Weiler A. ; Silva, Eduardo A B da
Author_Institution :
Centro de Estudos ern Telecomunicacoes, Pontificia Univ. Catolica do Rio de Janeiro, Brazil
Abstract :
A 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.
Keywords :
combined source-channel coding; data compression; geophysical signal processing; image coding; remote sensing; PSNR performance; complexity; data compression; data protection; efficient transmission; joint source/channel coding solution; memory requirements; robust remote sensing still image coding; Artificial satellites; Channel coding; Data compression; Image coding; PSNR; Protection; Remote sensing; Robustness; Signal to noise ratio; Telecommunications;
Conference_Titel :
Geoscience and Remote Sensing Symposium, 2002. IGARSS '02. 2002 IEEE International
Print_ISBN :
0-7803-7536-X
DOI :
10.1109/IGARSS.2002.1027164