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Giovanni Ludeno

Researcher at National Research Council

Publications -  87
Citations -  981

Giovanni Ludeno is an academic researcher from National Research Council. The author has contributed to research in topics: Radar & Ground-penetrating radar. The author has an hindex of 14, co-authored 77 publications receiving 647 citations. Previous affiliations of Giovanni Ludeno include Seconda Università degli Studi di Napoli & NATO.

Papers
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Gamma Gaussian Inverse Wishart Probability Hypothesis Density for Extended Target Tracking Using X-Band Marine Radar Data

Karl Granstrom, +4 more
- 01 Jul 2015 - 
TL;DR: This paper proposes an ETT procedure based on the popular probability hypothesis density filter, and in particular, it describes the extended target state through the gamma Gaussian inverse Wishart model, to meet the real-time processing constraint required for the practical surveillance purposes.
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LCIS DSS—An irrigation supporting system for water use efficiency improvement in precision agriculture: A maize case study

Antonello Bonfante, +14 more
- 01 Nov 2019 - 
TL;DR: Three LCIS-DSS tools have been evaluated, in terms of their ability to support the farmer in irrigation management, in a real applicative case study on maize grown on Andosols in a private farm in southern Italy in the 2018 season and shown that all three approaches are able to realise the maximum obtainable maize production.
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Real-Time Through-Wall Situation Awareness Using a Microwave Doppler Radar Sensor

Gianluca Gennarelli, +2 more
- 27 Jul 2016 - 
TL;DR: A simple and effective radar data processing algorithm is proposed to detect, in real-time, the presence of one or several human subjects in the through-wall scene and automatically provides also an indication on whether the subjects are static or moving in the environment.
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A smart multiple spatial and temporal resolution system to support precision agriculture from satellite images: Proof of concept on Aglianico vineyard

Anna Brook, +6 more
- 01 Apr 2020 - 
TL;DR: A methodology able to combine the pro and cons of space-borne and UAVs data to evaluate plant responses, with high spatial and temporal resolution, has been applied in a vineyard of southern Italy by analyzing the period from 2015 to 2018.
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UAV photogrammetry, infrared thermography and GPR for enhancing structural and material degradation evaluation of the Roman masonry bridge of Ponte Lucano in Italy

Chiara Biscarini, +5 more
- 01 Oct 2020 - 
TL;DR: In this paper, a case study regarding the cooperative use of non-destructive contactless diagnostic investigations as a tool to aid and assist the degradation evaluation of an iconic Roman masonry bridge is presented.