Skip to Main content Skip to Navigation
New interface
Conference papers

A satellite imaging chain based on the Compressed Sensing technique

Mikael Carlavan 1, * Laure Blanc-Féraud 1 Marc Antonini 2 Carole Thiebaut 3 Christophe Latry 3 Yves Bobichon 4 
* Corresponding author
1 MORPHEME - Morphologie et Images
CRISAM - Inria Sophia Antipolis - Méditerranée , IBV - Institut de Biologie Valrose : U1091, Laboratoire I3S - SIS - Signal, Images et Systèmes
Abstract : Satellite imaging has been the focus of intense works in remote sensing for the last years. The ability of satellite optical systems to produce high-resolution images has indeed been of a great interest in applications such as change detection or image classification. The design of a satellite acquisition chain is however quite challenging as it involves expensive processes such as sampling and coding. In this work, we investigate the performances of a low-resource satellite imaging chain based on the Compressed Sensing (CS) acquisition technique. We propose a reconstruction algorithm which takes into account the degradations of the satellite imaging chain and we present results on a real satellite data.
Document type :
Conference papers
Complete list of metadata

Cited literature [24 references]  Display  Hide  Download
Contributor : Mikael Carlavan Connect in order to contact the contributor
Submitted on : Monday, November 5, 2012 - 2:00:18 PM
Last modification on : Thursday, August 4, 2022 - 4:55:03 PM
Long-term archiving on: : Wednesday, February 6, 2013 - 3:54:38 AM


Files produced by the author(s)


  • HAL Id : hal-00748523, version 1



Mikael Carlavan, Laure Blanc-Féraud, Marc Antonini, Carole Thiebaut, Christophe Latry, et al.. A satellite imaging chain based on the Compressed Sensing technique. On-Board Payload Data Compression Workshop, Oct 2012, Barcelone, Spain. ⟨hal-00748523⟩



Record views


Files downloads