Multiangle BSAR Imaging Based on BeiDou-2 Navigation Satellite System: Experiments and Preliminary Results

Tao Zeng, Dongyang Ao, Cheng Hu, Tian Zhang, Feifeng Liu, Weiming Tian, Kuan Lin

Research output: Contribution to journalArticlepeer-review

55 Citations (Scopus)

Abstract

This paper analyzes the multiangle imaging results for bistatic synthetic aperture radar (BSAR) based on global navigation satellite systems (GNSS-BSAR). Due to the shortcoming of GNSS-BSAR images, a multiangle observation and data processing strategy based on BeiDou-2 navigation satellites was put forward to improve the quality of images and the value of system application. Twenty-six BSAR experiments were conducted and analyzed in different configurations. Furthermore, a region-based fusion algorithm using region-of-interest (ROI) segmentation was proposed to generate a high-quality fusion image. Based on the fusion image, typical targets such as water area, vegetation area, and artificial targets were compared and interpreted among single/multiple-angle images. The results reveal that the multiangle imaging method was a good technique to enhance image information, which might extend the applications of GNSS-BSAR.

Original languageEnglish
Article number7112619
Pages (from-to)5760-5773
Number of pages14
JournalIEEE Transactions on Geoscience and Remote Sensing
Volume53
Issue number10
DOIs
Publication statusPublished - 1 Oct 2015

Keywords

  • Bistatic synthetic aperture radar (BSAR)
  • global navigation satellite system (GNSS)
  • image fusion
  • image interpretation
  • multiangle

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