Skip to Main content Skip to Navigation
Conference papers

Compressed sensing based compression of SAR raw data

Abstract : Due to their noise-like features, SAR images are difficult to acquire with compressed sensing techniques. However, some parts of the images, typically associated to man-made structures, are compressible and we investigate two techniques exploiting that information to allow a compressive acquisition of the whole image. These techniques result in a significant enhancement of the image quality compared to classical compressed sensing. Moreover, compared to classical sampling and quantisation of the SAR raw data, they allow a significant reduction of bitrate with a limited increase of the distortion. However, their efficiency depends strongly on the presence of compressible parts in the image.
Complete list of metadata

Cited literature [17 references]  Display  Hide  Download

https://hal.inria.fr/inria-00369560
Contributor : Ist Rennes <>
Submitted on : Friday, March 20, 2009 - 12:09:30 PM
Last modification on : Thursday, October 26, 2017 - 4:34:02 PM
Long-term archiving on: : Friday, October 12, 2012 - 2:01:04 PM

File

58.pdf
Files produced by the author(s)

Identifiers

  • HAL Id : inria-00369560, version 1

Collections

Citation

Gabriel Rilling, Mike Davies, Bernard Mulgrew. Compressed sensing based compression of SAR raw data. SPARS'09 - Signal Processing with Adaptive Sparse Structured Representations, Inria Rennes - Bretagne Atlantique, Apr 2009, Saint Malo, France. ⟨inria-00369560⟩

Share

Metrics

Record views

759

Files downloads

1641