FPGA implementation of the hyperspectral Lossy Compression for Exomars (LCE) algoritm.

Aday García; L. Santos; S. López; G. M. Callicó; J. Fco. López; R. Sarmiento

doi:10.1117/12.2069493

17 November 2014 FPGA implementation of the hyperspectral Lossy Compression for Exomars (LCE) algorithm

Aday García, L. Santos, S. López, G. M. Callicó, J. Fco. López, R. Sarmiento

Proceedings Volume 9247, High-Performance Computing in Remote Sensing IV; 924705 (2014) https://doi.org/10.1117/12.2069493
Event: SPIE Remote Sensing, 2014, Amsterdam, Netherlands

Abstract

The increase of data rates and data volumes in present remote sensing payload instruments, together with the restrictions imposed in the downlink connection requirements, represent at the same time a challenge and a must in the field of data and image compression. This is especially true for the case of hyperspectral images, in which both, reduction of spatial and spectral redundancy is mandatory. Recently the Consultative Committee for Space Data Systems (CCSDS) published the Lossless Multispectral and Hyperespectral Image Compression recommendation (CCSDS 123), a prediction-based technique resulted from the consensus of its members. Although this standard offers a good trade-off between coding performance and computational complexity, the appearance of future hyperspectral and ultraspectral sensors with vast amount of data imposes further efforts from the scientific community to ensure optimal transmission to ground stations based on greater compression rates. Furthermore, hardware implementations with specific features to deal with solar radiation problems play an important role in order to achieve real time applications. In this scenario, the Lossy Compression for Exomars (LCE) algorithm emerges as a good candidate to achieve these characteristics. Its good quality/compression ratio together with its low complexity facilitates the implementation in hardware platforms such as FPGAs or ASICs. In this work the authors present the implementation of the LCE algorithm into an antifuse-based FPGA and the optimizations carried out to obtain the RTL description code using CatapultC, a High Level Synthesis (HLS) Tool. Experimental results show an area occupancy of 75% in an RTAX2000 FPGA from Microsemi, with an operating frequency of 18 MHz. Additionally, the power budget obtained is presented giving an idea of the suitability of the proposed algorithm implementation for onboard compression applications.

Citation Download Citation

Aday García, L. Santos, S. López, G. M. Callicó, J. Fco. López, and R. Sarmiento "FPGA implementation of the hyperspectral Lossy Compression for Exomars (LCE) algorithm", Proc. SPIE 9247, High-Performance Computing in Remote Sensing IV, 924705 (17 November 2014); https://doi.org/10.1117/12.2069493

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available