Exploiting nonlocal filters for high-resolution InSAR DEM generation

Nonlocal filters show outstanding performance in the field of interferometric phase restoration by providing strong filtering power together with high spatial features preservation. In this work we focus on the generation of Digital Elevation Models (DEM) from a pair of interferometric SAR images. I...

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Bibliographic Details
Published in:IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium
Main Authors: Sica F., Martone M., Pinheiro M., Cozzolino D., Prats-Iraola P., Poggi G.
Other Authors: Sica, F., Martone, M., Pinheiro, M., Cozzolino, D., Prats-Iraola, P., Poggi, G.
Format: Conference Object
Language:English
Published: Institute of Electrical and Electronics Engineers Inc. 2018
Subjects:
High-resolution digital elevation model
InSAR
Interferometry
Nonlocal filter
Kamchatka
Online Access:http://hdl.handle.net/11588/809554
https://doi.org/10.1109/IGARSS.2018.8519283
Description
Summary:Nonlocal filters show outstanding performance in the field of interferometric phase restoration by providing strong filtering power together with high spatial features preservation. In this work we focus on the generation of Digital Elevation Models (DEM) from a pair of interferometric SAR images. In the specific, we aim at comparing the performance of state-ofthe- art InSAR filtering approaches on the basis of their noise suppression and detail preservation capabilities. We exploit a dataset of TanDEM-X SAR data relative to the volcanic area of the Kamchatka region (Russia).

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