ANALYSIS OF THE SEA SURFACE MODULATION BY BOTTOM TOPOGRAPHY IN GYEONGGI BAY USING MICROWAVE SCATTERING MODELS AND SAR DATA

Title
ANALYSIS OF THE SEA SURFACE MODULATION BY BOTTOM TOPOGRAPHY IN GYEONGGI BAY USING MICROWAVE SCATTERING MODELS AND SAR DATA
Author(s)
김태호; 양찬수; 홍단비; Kazuo
KIOST Author(s)
Yang, Chan Su(양찬수)
Alternative Author(s)
김태호; 양찬수; 홍단비; Kazuo
Publication Year
2015-04-22
Abstract
The effect of the interaction between surface currents and bottom topography to the radar cross section (RCS) is investigated using theoretical and numerical scattering models and SAR data. First, the ocean wave spectrum is computed, which corresponds to the sea surface perturbed by a varying surface current under the wind condition at the time of each SAR data acquisition. The surface current was extracted from the tidal current models. The RCS modulations are computed using the numerical scattering model based on the method of moments (MoM) with undulated surface height profiles simulated from the perturbed wave spectrum. The numerical results are compared with the X- and C- bands SAR data. Although there are some discrepancies on the RCS and modulation gradient, reasonable agreement was obtained between the computed RCS and SAR measurements.corresponds to the sea surface perturbed by a varying surface current under the wind condition at the time of each SAR data acquisition. The surface current was extracted from the tidal current models. The RCS modulations are computed using the numerical scattering model based on the method of moments (MoM) with undulated surface height profiles simulated from the perturbed wave spectrum. The numerical results are compared with the X- and C- bands SAR data. Although there are some discrepancies on the RCS and modulation gradient, reasonable agreement was obtained between the computed RCS and SAR measurements.
URI
https://sciwatch.kiost.ac.kr/handle/2020.kiost/25620
Bibliographic Citation
International Symposium on Remote Sensing 2015, pp.1 - 4, 2015
Publisher
Chinese
Type
Conference
Language
English
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