We found a match
Your institution may have access to this item. Find your institution then sign in to continue.
- Title
Leveraging Seed Generation for Efficient Hardware Acceleration of Lossless Compression of Remotely Sensed Hyperspectral Images.
- Authors
Altamimi, Amal; Ben Youssef, Belgacem
- Abstract
In the field of satellite imaging, effectively managing the enormous volumes of data from remotely sensed hyperspectral images presents significant challenges due to the limited bandwidth and power available in spaceborne systems. In this paper, we describe the hardware acceleration of a highly efficient lossless compression algorithm, specifically designed for real-time hyperspectral image processing on FPGA platforms. The algorithm utilizes an innovative seed generation method for square root calculations to significantly boost data throughput and reduce energy consumption, both of which represent key factors in satellite operations. When implemented on the Cyclone V FPGA, our method achieves a notable operational throughput of 1598.67 Mega Samples per second (MSps) and maintains a power requirement of under 1 Watt, leading to an efficiency rate of 1829.1 MSps/Watt. A comparative analysis with existing and related state-of-the-art implementations confirms that our system surpasses conventional performance standards, thus facilitating the efficient processing of large-scale hyperspectral datasets, especially in environments where throughput and low energy consumption are prioritized.
- Subjects
SPACE-based radar; SQUARE root; IMAGE processing; ENERGY consumption; PERFORMANCE standards; REMOTE-sensing images
- Publication
Electronics (2079-9292), 2024, Vol 13, Issue 11, p2164
- ISSN
2079-9292
- Publication type
Article
- DOI
10.3390/electronics13112164