Title
Building Corner Reflection in MIMO SAR Tomography and Compressive Sensing-Based Corner Reflection Suppression
Abstract
It has become a field of intensive research to exploit SAR tomography to reconstruct a 3-D model of the buildings. However, in multiple-input multiple-output (MIMO) SAR tomography, the double-bounce reflections of the building corner will cause symmetric virtual scatterers, affecting both the scattering coefficient and structure of the 3-D model. To solve this problem, the building corner reflection is discussed and compressive sensing (CS)-based corner reflection suppression (CSCRS) is proposed. In the final part of this letter, the effectiveness of the proposed method is validated using array InSAR data. It is found that the proposed method leads to considerable improvements with regard to suppression ratio and reconstruction accuracy.
Year
DOI
Venue
2020
10.1109/LGRS.2019.2926301
IEEE Geoscience and Remote Sensing Letters
Keywords
Field
DocType
Synthetic aperture radar,Buildings,Tomography,Scattering,MIMO communication,Sensors,Three-dimensional displays
Computer vision,MIMO,Tomography,Artificial intelligence,Compressed sensing,Mathematics
Journal
Volume
Issue
ISSN
17
3
1545-598X
Citations 
PageRank 
References 
1
0.35
0
Authors
6
Name
Order
Citations
PageRank
Fubo Zhang110.69
Xingdong Liang232.06
Ruichang Cheng311.37
Yangliang Wan410.35
Longyong Chen5457.11
Yirong Wu654.19