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).
Exploiting nonlocal filters for high-resolution InSAR DEM generation / Sica, F.; Martone, M.; Pinheiro, M.; Cozzolino, D.; Prats-Iraola, P.; Poggi, G.. - 2018-:(2018), pp. 2188-2191. (Intervento presentato al convegno 38th Annual IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2018 tenutosi a esp nel 2018) [10.1109/IGARSS.2018.8519283].
Exploiting nonlocal filters for high-resolution InSAR DEM generation
Cozzolino D.
;Poggi G.
2018
Abstract
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).I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
