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Open AccessArticle

Ku Band Terrestrial Radar Observations by Means of Circular Polarized Antennas

Geomatics Division, Centre Técnologic de Telecommunicacions de Catalunya, 08860 Castelldefels, Spain
Geohazard Monitoring Group, Institute of Research for Hydro-Geological Protection, National Council of Research, 10133 Torino, Italy
Department of Earth Science and Environment, University of Pavia, 27100 Pavia, Italy
Author to whom correspondence should be addressed.
Remote Sens. 2019, 11(3), 270;
Received: 22 January 2019 / Accepted: 24 January 2019 / Published: 30 January 2019
This paper reports some experimental results obtained by means of a commercial apparatus used by many researchers and users, where a pair of novel and specifically developed circular polarized antennas, designed to operate with Ku band-terrestrial radar interferometers, are used alternatively to the most conventional linear vertical polarized horns provided by the manufacturer of the apparatus. These radar acquisitions have been carried out to investigate for the first time the potential of circular polarization (CP) configurations for terrestrial radar interferometers (TRI) applications, aiming at improving monitoring of landslides, mines, and semi-urban areas. The study tries to evaluate whether the circular polarization response of natural and man-made targets can improve the interpretation of the radar images, with respect to the standard approach used in terrestrial radar interferometry, usually carried out in co-polar vertical polarization. The goal is to investigate how different polarization combinations, in terrestrial radar interferometry, affect the coherence and amplitude dispersion of natural media, potentially improving the identification of stable scatter. View Full-Text
Keywords: GB-SAR; interferometry; circular polarization; microstrip antennas GB-SAR; interferometry; circular polarization; microstrip antennas
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MDPI and ACS Style

Luzi, G.; Dematteis, N. Ku Band Terrestrial Radar Observations by Means of Circular Polarized Antennas. Remote Sens. 2019, 11, 270.

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