10 research outputs found
Adaptive Non-Linear Modeling for Ionospheric Disturbances Behavior Estimation on Spaceborne Synthetic Aperture Radar Interferometry
Sea State Characterization Using Experimental One-Dimensional Radar Signatures and Fractal Techniques
This paper presents a novel method of sea state characterization by using four criteria, which are applied to normalized experimental Synthetic Aperture Radar (SAR) one–dimensional signatures (range profiles), provided to our research group by SET 215 Working Group on “SAR radar techniques”. These criteria are the “Fractal Dimension”, “Fractal Length”, “Variance σ2”, and “Power Spectrum Density - Least Squares”. The “Fractal Dimension” and “Fractal Length” criteria, which appear to be the most important out of the four criteria, use the “blanket” technique to provide sea state characterization from SAR radar range profiles. It is based on the calculation of the area of a “blanket”, corresponding to the range profile under examination, and then on the calculation of the corresponding “Fractal Dimension” and “Fractal Length” of the range profile. The main idea concerning this proposed technique is the fact that normalized SAR radar range profiles, corresponding to different sea states, produce different values of “Fractal Dimension” and “Fractal Length” for all angles of incidence examined here. As a result, a sea state characterization technique for two different sea states (turbulent and calm sea) is presented in this paper
Ensemble Classifiers in Optimal Estimation for Ionospheric Disturbances Behavior on Spaceborne Interferometric SAR Systems
Temporal Feature Variation as an Efficient Method for Real-Time Video Summarization Captured from Unmanned Aerial Systems
Applied Optimal Estimation for Ionospheric Disturbances Behavior on Spaceborne Interferometric Synthetic Aperture Radar Systems
An Echo State Network for Ionospheric Disturbances Behavior Modeling on Spaceborne Interferometric Synthetic Aperture Radar
Applied Optimal Estimation for Ionospheric Disturbances Behavior on Spaceborne Interferometric Synthetic Aperture Radar Systems
Deep Convolutional Neural Networks for Modeling Patterns of Spaceborne Interferometric SAR Systems Signals
An Adaptable Deep Learning Model for Ionospheric Pattern Analysis on Spaceborne Interferometric SAR Systems
The Eastern Mediterranean altimeter calibration network - eMACnet: anticipating JASON-3 and SWOT
Summarization: eMACnet - the eastern Mediterranean Altimeter Calibration network, is
the result of successful collaborative efforts in the Aegean area since
the early 2000’s. Originally initiated with the Gavdos permanent
absolute calibration facility and over the past four years with a second
site at Kasteli, Crete, Greece, both of these sites in collaboration
with the local team from the Tech. Univ. of Crete. Over the past two
years our team expanded to include the Nation. Tech. Univ. of Athens
(NTUA), in an attempt to obtain at a minimal cost data from existing
facilities and future sites, of which six are now deployed and
operating. The primary purpose of the extended network is the
calibration and validation of altimeter data from current and future
altimetric missions. The location of some of our sites though is such
that they are also of interest to tsunami warning network operators and
we thus intend to provide all of our observations in near real-time from
these sites to the European Tsunami Warning System (TWS). At present,
the KASTELI site in western Crete (a float tide gauge co-located with a
radar gauge for calibration and back-up), is delivering 1-minute sampled
data every 15 minutes via EUMETSAT’s EUMETCAST system. Four more
tide gauges are in operation at the sites of PALEKASTRO, eastern Crete
(with CGRS), MANI-KARAVOSTASI, in southern Peloponnese, EMPORIO, Chios,
and THASOS, Northern Aegean. An additional system along with a CGRS
receiver will be deployed either at KYMI, north of Athens on the island
of EVIA or slightly north of that, on mainland Greece, pending
negotiations with local authorities. This Aegean-wide network samples
the following OSTM tracks, some of them in more than one location: 18,
33, 94, 109, and 185. We will present an overview of the project and
results from the expanded network based on the latest release of IGDRs
and our plans for supporting the future altimeter missions or JASON-3
and SWOT.Presented on
