Improving TanDEM-X DEMs by non-local InSAR filtering

Xiao Xiang Zhu; Richard Barnier; Marie Lachaise; Fathalrahman Adam; Yilei Shi; Michael Eineder

Improving TanDEM-X DEMs by non-local InSAR filtering

Xiao Xiang Zhu
, Richard Barnier
, Marie Lachaise
, Fathalrahman Adam
, Yilei Shi
, Michael Eineder

Chair of Data Science in Earth Observation

Deutsches Zentrum für Luft- und Raumfahrt (DLR)
Technical University of Munich

Research output: Contribution to journal › Article › peer-review

17 Scopus citations

Abstract

The standard TanDEM-X product meets HRTI-3 DEM specification and comes with a sample spacing of 12 m. In this paper we apply non-local means (NL) mterferogram filtering to the TanDEM-X data. Our version of the NT filter is a modification of the original formulation and provides better noise reduction. Based on simulations, phase noise reduction, coherence estimation accuracy and spatial resolution of our NT filter are compared to conventional filters. Finally, the first TanDEM-X DEM with 6m resolution and low noise level is presented.

Original language	English
Article number	6856998
Pages (from-to)	1125-1128
Number of pages	4
Journal	Proceedings of the European Conference on Synthetic Aperture Radar, EUSAR
Volume	Proceedings of the European Conference on Synthetic Aperture Radar, EUSAR
State	Published - 2014

Cite this

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title = "Improving TanDEM-X DEMs by non-local InSAR filtering",

abstract = "The standard TanDEM-X product meets HRTI-3 DEM specification and comes with a sample spacing of 12 m. In this paper we apply non-local means (NL) mterferogram filtering to the TanDEM-X data. Our version of the NT filter is a modification of the original formulation and provides better noise reduction. Based on simulations, phase noise reduction, coherence estimation accuracy and spatial resolution of our NT filter are compared to conventional filters. Finally, the first TanDEM-X DEM with 6m resolution and low noise level is presented.",

author = "Zhu, \{Xiao Xiang\} and Richard Barnier and Marie Lachaise and Fathalrahman Adam and Yilei Shi and Michael Eineder",

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T1 - Improving TanDEM-X DEMs by non-local InSAR filtering

AU - Zhu, Xiao Xiang

AU - Barnier, Richard

AU - Lachaise, Marie

AU - Adam, Fathalrahman

AU - Shi, Yilei

AU - Eineder, Michael

PY - 2014

Y1 - 2014

N2 - The standard TanDEM-X product meets HRTI-3 DEM specification and comes with a sample spacing of 12 m. In this paper we apply non-local means (NL) mterferogram filtering to the TanDEM-X data. Our version of the NT filter is a modification of the original formulation and provides better noise reduction. Based on simulations, phase noise reduction, coherence estimation accuracy and spatial resolution of our NT filter are compared to conventional filters. Finally, the first TanDEM-X DEM with 6m resolution and low noise level is presented.

AB - The standard TanDEM-X product meets HRTI-3 DEM specification and comes with a sample spacing of 12 m. In this paper we apply non-local means (NL) mterferogram filtering to the TanDEM-X data. Our version of the NT filter is a modification of the original formulation and provides better noise reduction. Based on simulations, phase noise reduction, coherence estimation accuracy and spatial resolution of our NT filter are compared to conventional filters. Finally, the first TanDEM-X DEM with 6m resolution and low noise level is presented.

UR - https://www.scopus.com/pages/publications/84991735423

M3 - Article

AN - SCOPUS:84991735423

SN - 2197-4403

VL - Proceedings of the European Conference on Synthetic Aperture Radar, EUSAR

SP - 1125

EP - 1128

JO - Proceedings of the European Conference on Synthetic Aperture Radar, EUSAR

JF - Proceedings of the European Conference on Synthetic Aperture Radar, EUSAR

M1 - 6856998

ER -

Improving TanDEM-X DEMs by non-local InSAR filtering

Abstract

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