Nicola Veneziani

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The Multi-Chromatic Analysis, as introduced in [1], uses interferometric pairs of SAR images processed at range sub-bands and explores the phase trend of each pixel as a function of the different central carrier frequencies. The phase of suitable " frequency-coherent " scatterers evolves linearly with the sub-band central wavelength, the slope being(More)
I n this paper we propose a specialized hardware architecture for the real time visual navigation of a mobile robot. The adopted navigation method is based on a two-steps approach. Features are extracted and matched over an image sequence which is captured by a video-camera (mounted on a mobile robot) during its motion. As a result, a 2D motion field is(More)
Operational monitoring of slope instabilities by SAR Interferometry poses a number of challenges due to the limited spatial extent of the landslide areas and rainy conditions usually associated with mass movement events. In this work we present the results of the application of both conventional DInSAR techniques, and a point-by-point, multitemporal study(More)
The present paper presents the results of the application of Multi Chromatic Analysis (MCA) for height retrieval by processing both AES-1 airborne data and satellite TerraSAR-X data. In particular, a test of the robustness of the MCA technique with respect to total processed bandwidth has been performed through comparison of results from datasets with(More)
We have implemented one of the Fast Fourier Transform algorithms, the Prime Factor algorithm (PFA), on the hypercube. On sequential computers, the PFA and other discrete Fourier transforms (DFT) such as the Winograd algorithm (WFA) are known to be very efficient. However, both algorithms require full data shuffling and are thus challenging to any(More)