http://www.cnr.it/ontology/cnr/individuo/prodotto/ID168853
On the Generation of ERS/ENVISAT DinSAR Time-Series via the SBAS technique (Articolo in rivista)
- Type
- Label
- On the Generation of ERS/ENVISAT DinSAR Time-Series via the SBAS technique (Articolo in rivista) (literal)
- Anno
- 2005-01-01T00:00:00+01:00 (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi
- 10.1109/LGRS.2005.848497 (literal)
- Alternative label
Pepe A., Sansosti E., Berardino P., Lanari R. (2005)
On the Generation of ERS/ENVISAT DinSAR Time-Series via the SBAS technique
in IEEE geoscience and remote sensing letters (Print)
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- Pepe A., Sansosti E., Berardino P., Lanari R. (literal)
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- Rivista
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- We exploit the small baseline subset (SBAS) algorithm for generating deformation time-series from SAR data acquired by sensors with different characteristics but with the same illumination geometry. In particular, our approach is focused on the use of European Remote Sensing (ERS) and ENVISAT satellite data,the latter acquired by the Advanced Synthetic Aperture Radar sensor on the IS2 swath. The proposed solution is oriented to investigate
large-scale displacements with a relatively low spatial resolution about 100 100 m) and implements an easy but effective combination of ERS and ENVISAT multilook interferograms which benefits of the temporal overlap between the acquisitions of the two sensors. Moreover, the algorithm does not rely on specific hypothesis on the spatial or temporal characteristics of the investigated deformations. Presented results, achieved on a synthetic aperture radar dataset relevant to the Napoli city area (Italy), confirm the validity of the approach. (literal)
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- ISI Web of Science (WOS) (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
- Titolo
- On the Generation of ERS/ENVISAT DinSAR Time-Series via the SBAS technique (literal)
- Abstract
- We exploit the small baseline subset (SBAS) algorithm
for generating deformation time-series from SAR data acquired by
sensors with different characteristics but with the same illumination
geometry. In particular, our approach is focused on the use of
European Remote Sensing (ERS) and ENVISAT satellite data, the
latter acquired by the Advanced Synthetic Aperture Radar sensor
on the IS2 swath. The proposed solution is oriented to investigate
large-scale displacements with a relatively low spatial resolution
(about 100 100 m) and implements an easy but effective combination
of ERS and ENVISAT multilook interferograms which benefits
of the temporal overlap between the acquisitions of the two
sensors. Moreover, the algorithm does not rely on specific hypothesis
on the spatial or temporal characteristics of the investigated
deformations. Presented results, achieved on a synthetic aperture
radar dataset relevant to the Napoli city area (Italy), confirm the
validity of the approach. (literal)
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