Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/57500
Title: A Hardware-Friendly Hyperspectral Lossy Compressor for Next-Generation Space-Grade Field Programmable Gate Arrays
Authors: Guerra Hernández, Raúl Celestino 
Barrios Alfaro, Yubal
Díaz Martín, María 
Baez Quevedo, Abelardo 
López Suárez, Sebastián 
Sarmiento Rodríguez, Roberto 
UNESCO Clasification: 3304 Tecnología de los ordenadores
Keywords: HyperLCA compressor
Hyperspectral compression
Lossy compression
On-board compression
Issue Date: 2019
Journal: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 
Abstract: The increment in the data rate of the new-generation hyperspectral sensors is making more critical the necessity of lossy compression solutions able to achieve higher compression ratios (CRs). In this paper, a transform-based lossy compressor, namely lossy compression algorithm for hyperspectral image systems (HW-HyperLCA), is proposed as a modification of the original HyperLCA, specifically designed for being executed into spacegrade field programmable gate array (FPGA) devices. The HWHyperLCA compressor can be totally executed using integer arithmetic, using different levels of precision that can be adapted for achieving the best relation between compression performance and computational burden. The experiments carried out in this paper demonstrate that the HW-HyperLCA compressor is able to compress the hyperspectral images to less than 1 bit per pixel per band with lowdistortions (more than 40 dB of signal-to-noise ratio) while the performed complexity analysis demonstrates that it can be efficiently executed into space-grade FPGAs using very few computational resources and good results in terms of maximum clock frequency can be obtained.
URI: http://hdl.handle.net/10553/57500
ISSN: 1939-1404
DOI: 10.1109/JSTARS.2019.2919791
Source: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing [ISSN 1939-1404]
Appears in Collections:Artículos
Thumbnail
Adobe PDF (2,14 MB)
Show full item record

WEB OF SCIENCETM
Citations

4
checked on Sep 26, 2021

Page view(s)

54
checked on Aug 28, 2021

Download(s)

57
checked on Aug 28, 2021

Google ScholarTM

Check

Altmetric


Share



Export metadata



Items in accedaCRIS are protected by copyright, with all rights reserved, unless otherwise indicated.