Compressive sensing applied to imaging by ground-based polarimetric SAR

Riafeni Karlina, Motoyuki Sato

研究成果: Conference contribution

4 被引用数 (Scopus)

抄録

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.

本文言語English
ホスト出版物のタイトル2011 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2011 - Proceedings
ページ2861-2864
ページ数4
DOI
出版ステータスPublished - 2011 11 16
イベント2011 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2011 - Vancouver, BC, Canada
継続期間: 2011 7 242011 7 29

出版物シリーズ

名前International 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

ASJC Scopus subject areas

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

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