A
A. Monti Guarnieri
Researcher at Polytechnic University of Milan
Publications - 45
Citations - 637
A. Monti Guarnieri is an academic researcher from Polytechnic University of Milan. The author has contributed to research in topics: Synthetic aperture radar & Radar imaging. The author has an hindex of 13, co-authored 45 publications receiving 562 citations.
Papers
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Journal ArticleDOI
Sentinel 1 SAR interferometry applications: The outlook for sub millimeter measurements
TL;DR: The new Sentinel-1 mission, based on a constellation of two satellites, is expected to reduce limitations guaranteeing a revisit cycle of 6 days on a global scale and in particular over Europe and Canada and providing a high level of service reliability with near-real-time delivery of data within 24 h, important for risk management applications.
Journal ArticleDOI
Maximum likelihood multi-baseline Sar interferometry
TL;DR: In this paper, a technique to provide interferometry by combining multiple images of the same area is proposed, which exploits all the images jointly and performs an optimal spectral shift pre-processing to remove most of the decorrelation for distributed targets.
Journal ArticleDOI
Flexible Dynamic Block Adaptive Quantization for Sentinel-1 SAR Missions
Evert Attema,C. Cafforio,M Gottwald,Pietro Guccione,A. Monti Guarnieri,Fabio Rocca,Paul Snoeij +6 more
TL;DR: The letter introduces a novel quantizer suited for medium to high-resolution synthetic aperture radar (SAR) systems, like the forthcoming SENTINEL-1 SAR, by adaptively tuning the quantizer rate according to the local signal-to-noise-ratio (SNR).
Multi baseline interferometric techniques and applications
TL;DR: In this paper, multi baseline interferometric data can be exploited for generating DEM, to estimate volumetric scattering and to get resolution on areas affected by foreshortening and layover.
Proceedings ArticleDOI
Removing RF interferences from P-band airplane SAR data
G. Cazzaniga,A. Monti Guarnieri +1 more
TL;DR: Two techniques are introduced: one exploits MUSIC to estimate the interferences' frequencies, and then performs notch filtering at that frequencies; whereas the other adaptively estimate the interference contributions and cancel them by means of in-phase subtraction.