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On-board Compressing of Hyperspectral Images using CCSDS 123

Douglas Almeida dos Santos 1, 2 Cesar Albenes Zeferino 1 Eduardo Augusto Bezerra 3 Luigi Dilillo 4 Douglas Rossi Melo 3, 2, 1
1 Laboratory of Embedded and Distributed Systems [UNIVALI]
2 LIRMM - Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier
3 SpaceLab - Space Technology Research Laboratory [UFSC]
4 TEST - TEST
LIRMM - Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier
Abstract : A satellite performing hyperspectral image processing requires high storage capacity and larger communication bandwidth. Compression algorithms, like the CCSDS 123, have been proposed to mitigate these requirements. Considering the constraints associated to satellites, single-purpose processors have been developed to run these algorithms in Systems-on-Chip (SoC). In this work, we evaluate alternatives to integrate a CCSDS 123 compressor with an embedded processor based on RISC-V and ARM-based architectures.
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Conference papers
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https://hal-lirmm.ccsd.cnrs.fr/lirmm-03025767
Contributor : Douglas Almeida dos Santos <>
Submitted on : Thursday, November 26, 2020 - 2:01:50 PM
Last modification on : Monday, November 30, 2020 - 11:08:16 AM

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LIRMM | LIRMM_MIC | MIC | MIPS | UNIV-MONTPELLIER | TEST | CNRS

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Douglas Almeida dos Santos, Cesar Albenes Zeferino, Eduardo Augusto Bezerra, Luigi Dilillo, Douglas Rossi Melo. On-board Compressing of Hyperspectral Images using CCSDS 123. Computer on the Beach, Sep 2020, Balneário Camboriú, Brazil. pp.332-336, ⟨10.14210/cotb.v11n1.p332-336⟩. ⟨lirmm-03025767⟩

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