Compressive sensing applied to imaging by ground-based polarimetric SAR

Riafeni Karlina, Motoyuki Sato

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Citations (Scopus)

Abstract

Ground-Based Synthetic Aperture Radar (GB-SAR) has been used to show the difference in polarimetric behavior of a metal sphere object located in different azimuth positions. However, this study has a problem with long data collection in experiment and the probability of measurement error due to antenna vibration during the movement in antenna rail. In this paper, Compressive Sensing (CS) is used in simulation by doing the sampling process to the measurement data from experiment. Full GB-SAR images are produced by solving l1 minimization problem using the sampled data. The result shows that CS can reduce measurement to around 1%, while giving better quality images and give the same conclusions to the conventional system.

Original languageEnglish
Title of host publication2011 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2011 - Proceedings
Pages2861-2864
Number of pages4
DOIs
Publication statusPublished - 2011 Nov 16
Event2011 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2011 - Vancouver, BC, Canada
Duration: 2011 Jul 242011 Jul 29

Publication series

NameInternational Geoscience and Remote Sensing Symposium (IGARSS)

Other

Other2011 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2011
CountryCanada
CityVancouver, BC
Period11/7/2411/7/29

Keywords

  • Compressive Sensing (CS)
  • Convex Programming
  • Ground-Based Synthetic Aperture Radar (GB-SAR)
  • Polarimetric

ASJC Scopus subject areas

  • Computer Science Applications
  • Earth and Planetary Sciences(all)

Fingerprint Dive into the research topics of 'Compressive sensing applied to imaging by ground-based polarimetric SAR'. Together they form a unique fingerprint.

Cite this