A satellite imaging chain based on the Compressed Sensing technique - Inria - Institut national de recherche en sciences et technologies du numérique Access content directly
Conference Papers Year : 2012

A satellite imaging chain based on the Compressed Sensing technique

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.
Fichier principal
Vignette du fichier
2655947_carlavan.pdf (275.13 Ko) Télécharger le fichier
Origin : Files produced by the author(s)
Loading...

Dates and versions

hal-00748523 , version 1 (05-11-2012)

Identifiers

  • HAL Id : hal-00748523 , version 1

Cite

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⟩
362 View
488 Download

Share

Gmail Facebook X LinkedIn More