Reconfigurable processing for satellite on-board automatic cloud cover assessment |
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Authors: | Esam El-Araby Tarek El-Ghazawi Jacqueline Le Moigne Richard Irish |
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Affiliation: | (1) The George Washington University, Washington DC, USA;(2) NASA/Goddard Space Flight Center, Greenbelt, USA |
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Abstract: | Clouds have a critical role in many studies such as weather- and climate-related investigations. However, they represent a
source of errors in many applications, and the presence of cloud contamination can hinder the use of satellite data. In addition,
sending cloudy data to ground stations can result in an inefficient utilization of the communication bandwidth. This requires
satellite on-board cloud detection capability to mask out cloudy pixels from further processing. Remote sensing satellite
missions have always required smaller size, lower cost, more flexibility, and higher computational power. Reconfigurable Computers
(RCs) combine the flexibility of traditional microprocessors with the power of Field Programmable Gate Arrays (FPGAs). Therefore,
RCs are a promising candidate for on-board preprocessing. This paper presents the design and implementation of an RC-based
real-time cloud detection system. We investigate the potential of using RCs for on-board preprocessing by prototyping the
Landsat 7 ETM+ ACCA algorithm on one of the state-of-the-art reconfigurable platforms, SRC-6. It will be shown that our work
provides higher detection accuracy and over one order of magnitude improvement in performance when compared to previously
reported investigations.
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Keywords: | Reconfigurable computing (RC) High-performance reconfigurable computing (HPRC) FPGA Reconfigurable architectures Remote sensing Cloud detection |
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