GB-SAR Interferometry Based on Dimension-Reduced Compressive Sensing and Multiple Measurement Vectors Model

Weike Feng, Giovanni Nico, Motoyuki Sato

研究成果: Article

3 引用 (Scopus)

抜粋

To reduce the data acquisition time and the high-level sidelobes produced by conventional focusing methods for ground-based synthetic aperture radar interferometry, we present a new method to provide accurate displacement maps based on the dimension-reduced compressive sensing (CS) method combined with the multiple measurement vectors (MMVs) model. The proposed CS method consists in selecting the supported area of targets, estimated by the fast conventional method with undersampled data. The following sparse reconstruction is applied only to the selected areas. The MMV-based approach allows increasing the coherence and the precision of displacement estimates. Two experiments are carried out to assess the performance of the proposed method.

元の言語English
記事番号8456836
ページ(範囲)70-74
ページ数5
ジャーナルIEEE Geoscience and Remote Sensing Letters
16
発行部数1
DOI
出版物ステータスPublished - 2019 1

ASJC Scopus subject areas

  • Geotechnical Engineering and Engineering Geology
  • Electrical and Electronic Engineering

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