Minimum Redundancy Array—A Baseline Optimization Strategy for Urban SAR Tomography

Minimum Redundancy Array—A Baseline Optimization Strategy for Urban SAR Tomography

Synthetic aperture radar (SAR) tomography (TomoSAR) is able to separate multiple scatterers layovered inside the same resolution cell in high-resolution SAR images of urban scenarios, usually with a large number of orbits, making it an expensive and unfeasible task for many practical applications. T...

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Bibliographic Details
Main Authors: Lianhuan Wei, Qiuyue Feng, Shanjun Liu, Christian Bignami, Cristiano Tolomei, Dong Zhao
Format: Article
Language:English
Published: MDPI AG 2020-09-01
Series:Remote Sensing
Subjects:
minimum redundancy array
SAR tomography
baseline optimization
two-step iterative shrinkage/thresholding
truncated singular value decomposition
Online Access:https://www.mdpi.com/2072-4292/12/18/3100

Internet

https://www.mdpi.com/2072-4292/12/18/3100

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