DocumentCode :
3222227
Title :
Onboard processor for compressing HSI data
Author :
Cook, Sid ; Harsanyi, Joseph
Author_Institution :
Lockheed Martin Space Syst., Denver, CO, USA
fYear :
2002
fDate :
16-17 Oct. 2002
Firstpage :
200
Lastpage :
204
Abstract :
As HSI (hyperspectral imaging) sensor technology continues to mature, the ever-increasing amounts of sensor data generated will result in a need for more cost effective communication and data handling systems. Lockheed Martin, with considerable experience in spacecraft design and in developing special purpose onboard processors, has teamed with Applied Signal & Image Technology (ASIT), which has extensive heritage in HSI, to develop a real-time and intelligent onboard processing (OBP) system to reduce HSI sensor downlink requirements. Our goal is to reduce the downlink requirement by a factor >100, while retaining the necessary spectral fidelity of the sensor data needed to satisfy the many science, military, and intelligence goals of these systems. Our spectral compression technique leverages commercial-off-the-shelf (COTS) spectral exploitation algorithms for segmentation, material identification and spectral compression that ASIT has developed. Other commercially available COTS software for spatial compression will also be employed as part of the overall compression processing sequence.
Keywords :
data compression; field programmable gate arrays; image segmentation; remote sensing; FPGA; HSI data compression; communication systems; data handling systems; hyperspectral imaging; intelligence goals; material identification; military goals; science goals; segmentation; spacecraft onboard processor; spatial compression; spectral compression; spectral exploitation algorithms; spectral fidelity; Communication effectiveness; Costs; Data handling; Downlink; Hyperspectral imaging; Hyperspectral sensors; Image sensors; Intelligent sensors; Sensor systems; Space technology;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Applied Imagery Pattern Recognition Workshop, 2002. Proceedings. 31st
Print_ISBN :
0-7695-1863-X
Type :
conf
DOI :
10.1109/AIPR.2002.1182277
Filename :
1182277
Link To Document :
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