S
Saibun Tjuatja
Researcher at University of Texas at Arlington
Publications - 80
Citations - 612
Saibun Tjuatja is an academic researcher from University of Texas at Arlington. The author has contributed to research in topics: Scattering & Inverse synthetic aperture radar. The author has an hindex of 12, co-authored 78 publications receiving 536 citations. Previous affiliations of Saibun Tjuatja include University of Texas at Austin.
Papers
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Journal ArticleDOI
Laboratory measurements of radar backscatter from bare and snow-covered saline ice sheets
S. G. Beaven,G. L. Lockhart,Sivaprasad Gogineni,A. R. Hossetnmostafa,Kenneth C. Jezek,Anthony J. Gow,Donald K. Perovich,A. K. Fung,Saibun Tjuatja +8 more
TL;DR: In this paper, the authors performed experiments to collect radar backscatter data at Ku (134GHz) and C bands (53GHz) over simulated sea ice at the US Army Cold Regions Research and Engineering Laboratory (CRREL) during the 1990 and 1992 winter seasons.
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Far-Field Interrogation of Microstrip Patch Antenna for Temperature Sensing Without Electronics
TL;DR: Temperature sensing without electronics is demonstrated through wireless interrogation of passive antenna-sensors using an ultra-wide-band microstrip antenna as the transmitting/receiving antenna and a microstrip patch antenna serving as the temperature-sensing element.
Proceedings Article
A phase matrix for a dense discrete random medium : Evaluation of volume scattering coefficient
TL;DR: In this paper, the phase matrix of a dense discrete random medium is developed by relaxing the far-field approximation and accounting for the effect of volume fraction and randomness properties characterized by the variance and correlation function of scatterer positions within the medium.
Journal ArticleDOI
A phase matrix for a dense discrete random medium: evaluation of volume scattering coefficient
TL;DR: In this paper, the phase matrix of a dense discrete random medium is developed by relaxing the far-field approximation and accounting for the effect of volume fraction and randomness properties characterized by the variance and correlation function of scatterer positions within the medium.
Journal ArticleDOI
A parameterized multiple-scattering model for microwave emission from dry snow
TL;DR: In this article, the authors developed a parameterized dry snow emission model for analyzing passive microwave data, including those from the Advanced Microwave Scanning Radiometer-Earth Observing System (AMSR-E) at 10.65 GHz, 18.7 GHz, and 36.5 GHz for SWE estimation.