Skip to main navigation Skip to search Skip to main content

A fast method for compressive sensing SAR imaging via nonlinear chirp scaling

  • Peng Xiao
  • , Ze Yu
  • , Chunsheng Li
  • Beihang University

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

A novel SAR imaging approach has been exposed in this paper. It is based on CS theory which aims at getting low sidelobes image with Shannon-Nyquist samplings. Deviated from classical CS-imaging methods in large squint mode, this new method does RCMC on the echo first through nonlinear chirp scaling, and then carries out CS compression in both range and azimuth. This approach depresses the mistakes of RCMC brought by CS algorithm, and relieves the calculating pressures.

Original languageEnglish
Title of host publication2013 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2013 - Proceedings
Pages632-635
Number of pages4
DOIs
StatePublished - 2013
Event2013 33rd IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2013 - Melbourne, VIC, Australia
Duration: 21 Jul 201326 Jul 2013

Publication series

NameInternational Geoscience and Remote Sensing Symposium (IGARSS)

Conference

Conference2013 33rd IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2013
Country/TerritoryAustralia
CityMelbourne, VIC
Period21/07/1326/07/13

Fingerprint

Dive into the research topics of 'A fast method for compressive sensing SAR imaging via nonlinear chirp scaling'. Together they form a unique fingerprint.

Cite this