Zobrazeno 1 - 10
of 82
pro vyhledávání: '"Traian Dogaru"'
Publikováno v:
Remote Sensing, Vol 12, Iss 5, p 857 (2020)
We present an enhanced imaging procedure for suppression of the rough surface clutter arising in forward-looking ground-penetrating radar (FL-GPR) applications. The procedure is based on a matched filtering formulation of microwave tomographic imagin
Externí odkaz:
https://doaj.org/article/a949a27ac32c49e48c01698c2b1e7599
Publikováno v:
Radar Sensor Technology XXIV.
One of the primary challenges in helicopter flight is landing in a degraded visual environment (DVE). In a DVE, the situational awareness of the pilot is inhibited by natural phenomena such as rain, snow, fog, etc., or aircraft induced phenomena such
Publikováno v:
Remote Sensing, Vol 12, Iss 5, p 857 (2020)
Remote Sensing; Volume 12; Issue 5; Pages: 857
Remote Sensing; Volume 12; Issue 5; Pages: 857
We present an enhanced imaging procedure for suppression of the rough surface clutter arising in forward-looking ground-penetrating radar (FL-GPR) applications. The procedure is based on a matched filtering formulation of microwave tomographic imagin
Publikováno v:
IEEE Transactions on Geoscience and Remote Sensing. 55:5220-5229
Forward-looking ground-penetrating radar (FL-GPR) permits standoff sensing of shallow in-road threats. A major challenge facing this radar technology is the high rate of false alarms stemming from the vulnerability of the target responses to interfer
Publikováno v:
IEEE journal of selected topics in applied earth observations and remote sensing
info:cnr-pdr/source/autori:Soldovieri F.; Gennarelli G.; Catapano I.; Liao D.; Dogaru T./titolo:Forward-Looking Radar Imaging: A Comparison of Two Data Processing Strategies/doi:10.1109%2FJSTARS.2016.2543840/rivista:IEEE journal of selected topics in applied earth observations and remote sensing (Print)/anno:2016/pagina_da:/pagina_a:/intervallo_pagine:/volume:10
info:cnr-pdr/source/autori:Soldovieri F.; Gennarelli G.; Catapano I.; Liao D.; Dogaru T./titolo:Forward-Looking Radar Imaging: A Comparison of Two Data Processing Strategies/doi:10.1109%2FJSTARS.2016.2543840/rivista:IEEE journal of selected topics in applied earth observations and remote sensing (Print)/anno:2016/pagina_da:/pagina_a:/intervallo_pagine:/volume:10
This paper aims at comparing the conventional backpropagation algorithm and a microwave tomographic approach in the framework of forward-looking ground-penetrating radar imaging. The reconstruction capabilities of both methods are investigated in ter
Publikováno v:
Radar Sensor Technology XXIII.
This paper investigates the possible configurations of a ground penetrating radar (GPR) system installed on a small UAV platform and used for buried target imaging. After discussing the advantages of this type of platform as compared to existing desi
Publikováno v:
Radar Sensor Technology XXIII.
Explosive hazards pose a threat to both civilians and warfighters in areas of current and past conflict. The U.S. Army Combat Capabilities Development Command (CCDC) has been exploring the use of an unmanned aerial vehicle (UAV)-mounted ultra-wideban
Autor:
Traian Dogaru, DaHan Liao
Publikováno v:
IEEE Geoscience and Remote Sensing Letters. 13:957-961
The electromagnetic characterization of realistic tree structures is performed to facilitate the development of low-frequency (P-band) foliage penetration radars. The full-wave approach employs a parallelized 3-D finite-difference time-domain algorit
Autor:
DaHan Liao, Traian Dogaru
Publikováno v:
2018 IEEE International Symposium on Antennas and Propagation & USNC/URSI National Radio Science Meeting.
Prediction of radar clutter produced by rough ground surfaces is an important part of detection performance analysis for ground penetrating radar (GPR). In this paper., we consider surfaces with small roughness., such as a dirt road., which are suita