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Paolo Pasquali

Researcher at Polytechnic University of Milan

Publications -  60
Citations -  1296

Paolo Pasquali is an academic researcher from Polytechnic University of Milan. The author has contributed to research in topics: Synthetic aperture radar & Interferometric synthetic aperture radar. The author has an hindex of 13, co-authored 58 publications receiving 1191 citations. Previous affiliations of Paolo Pasquali include Vita-Salute San Raffaele University & University of Zurich.

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Journal ArticleDOI

The wavenumber shift in SAR interferometry

TL;DR: The authors discuss the exploitation of this spectral shift for generation of "low noise" interferogram benefiting phase unwrapping, generation of quick-look interferograms, decorrelation reduction by means of tunable SAR systems (TINSAR), 4) range resolution enhancement, and the combination of SAR data gathered by different platforms (airborne and satellite) for a "long-time coherence" study.
Proceedings ArticleDOI

A 3-D SAR experiment with EMSL data

TL;DR: In this article, a third dimension is found in the baseline of interferometric SAR images and the volume is presented as horizontal slices of the target at different depths for 3D target reconstruction.
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The 2010–2011 Canterbury, New Zealand, seismic sequence: Multiple source analysis from InSAR data and modeling

TL;DR: In this paper, the main earthquakes using InSAR data, providing displacement maps and the respective modeling for the September 4th, 2010, February 22nd, 2011 and June 13th, 2011 events.
Proceedings ArticleDOI

SAR interferometry experiments with ERS-1

TL;DR: In this paper, the main goal of the experiment was the validation of differential interferometry technique for small terrain motions estimation, but many other interesting results, a few of them not yet interpreted, have been obtained.
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Accuracy assessment of InSAR derived input maps for landslide susceptibility analysis: a case study from the Swiss Alps

TL;DR: In this article, the authors evaluated the usefulness and limitations of this technique based on a case study in the Swiss Alps and concluded that InSAR derived input maps are not ideal for landslide susceptibility assessment, but could be used if more accurate data is lacking.