TerraSAR-X StripMap Data Interpretation of Complex Urban Scenarios with 3D SAR Tomography

Joint Authors

Balz, Timo
Wei, Lianhuan
Zhang, Lu
Liao, Mingsheng

Source

Journal of Sensors

Issue

Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-7, 7 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2014-10-29

Country of Publication

Egypt

No. of Pages

7

Main Subjects

Civil Engineering

Abstract EN

The severe layover problem of complex urban scenarios in SAR data makes SAR data interpretation very difficult, especially for nonexperts.

In this paper, we use 3D SAR tomography for SAR data interpretation of dense urban areas.

An efficient and robust approach named Butterworth-filter based singular value decomposition (BSVD) is used for tomographic analysis.

Two typical dense urban areas of interest located in Shanghai are analyzed.

The tomographic results could help users to better understand the backscattering scenario.

The experimental results indicate that SAR tomography is a promising and effective way to facilitate SAR data interpretation of complex urban areas.

American Psychological Association (APA)

Wei, Lianhuan& Balz, Timo& Liao, Mingsheng& Zhang, Lu. 2014. TerraSAR-X StripMap Data Interpretation of Complex Urban Scenarios with 3D SAR Tomography. Journal of Sensors،Vol. 2014, no. 2014, pp.1-7.
https://search.emarefa.net/detail/BIM-1042952

Modern Language Association (MLA)

Wei, Lianhuan…[et al.]. TerraSAR-X StripMap Data Interpretation of Complex Urban Scenarios with 3D SAR Tomography. Journal of Sensors No. 2014 (2014), pp.1-7.
https://search.emarefa.net/detail/BIM-1042952

American Medical Association (AMA)

Wei, Lianhuan& Balz, Timo& Liao, Mingsheng& Zhang, Lu. TerraSAR-X StripMap Data Interpretation of Complex Urban Scenarios with 3D SAR Tomography. Journal of Sensors. 2014. Vol. 2014, no. 2014, pp.1-7.
https://search.emarefa.net/detail/BIM-1042952

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1042952