Riccardo Lanari

TL;DR: Results obtained on the data acquired from 1992 to 2000 by the European Remote Sensing satellites and relative to the Campi Flegrei caldera and to the city of Naples, Italy, that demonstrate the capability of the proposed approach to follow the dynamics of the detected deformations.

TL;DR: Interferometric Synthetic Aperture Radar Processing Interferometric Phase Noise Image Registration Techniques Interferometric Phase Statistics Decorrelation Effects Digital Elevation Model Accuracy Phase Unwrapping Weighted Phase unwrapping Via Finite Element Method Geocoding Differential Interfermetric Synthetic aperture Radar SCAN MODE SIGNAL ANALYSIS and DATA PROCESSING Time Domain Analysis Frequency Domain Analysis Point Target Image Generation Scan Mode Data Processing

TL;DR: The algorithm extends the capability of the small-baseline subset (SBAS) technique that relies on small- Baseline DIFSAR interferograms only and is mainly focused on investigating large-scale deformations with spatial resolutions of about 100/spl times/100 m.

TL;DR: In this article, the performance of the Small BAseline Subset (SBAS) approach that is a Differential Synthetic Aperture Radar Interferometry (DInSAR) algorithm allowing the generation of mean deformation velocity maps and displacement time series from a data set of subsequently acquired SAR images is investigated.

TL;DR: The presented results confirm the effectiveness of the extended MCF unwrapping algorithm and exploits both the spatial characteristics and the temporal relationships among multiple interferograms relevant to a properly chosen sequence.