Title :
FPGA support for satellite computations of hyper spectral images
Author :
Gonzalez, Carlos ; Mozos, Daniel ; Resano, Javier
Author_Institution :
Comput. Archit. Dept., Univ. Complutense de Madrid, Madrid, Spain
fDate :
Aug. 31 2009-Sept. 2 2009
Abstract :
Satellites gather information from different sensors and send it using a temporal connection with very limited bandwidth. The bandwidth demand can be highly reduced if the satellite preprocesses the data and only sends relevant information. FPGAs offer the necessary flexibility and performance to carry out this preprocessing step. We have designed and implemented the well-known PPI algorithm for hyper spectral images providing better performance than previous HW implementations and reducing the penalties due to the I/O communications. We have also included a HW module for random number generation. The results show that our system can preprocess a hyper spectral image in a few seconds.
Keywords :
field programmable gate arrays; geophysical signal processing; image processing; program processors; random number generation; FPGA; PPI algorithm; hyper spectral image; preprocessor; random number generation; satellite computation; Algorithm design and analysis; Bandwidth; Computer architecture; Field programmable gate arrays; Hyperspectral imaging; Image sensors; Indexes; Pixel; Random number generation; Satellites;
Conference_Titel :
Field Programmable Logic and Applications, 2009. FPL 2009. International Conference on
Conference_Location :
Prague
Print_ISBN :
978-1-4244-3892-1
Electronic_ISBN :
1946-1488
DOI :
10.1109/FPL.2009.5272329