DocumentCode :
2677959
Title :
Simulation of interferometric synthetic aperture radar imaging of two-dimensional ocean surface wave fields
Author :
Bao, Mingquan ; Brüning, Claus
Author_Institution :
Inst. of Oceanogr., Hamburg Univ., Germany
Volume :
2
fYear :
1994
fDate :
8-12 Aug. 1994
Firstpage :
726
Abstract :
An interferometric synthetic aperture radar (INSAR) is capable of measuring ocean surface waves and surface currents. An INSAR velocity bunching model is derived which includes the radar cross section modulation and the velocity bunching modulation, as well as the velocity spread within the SAR resolution cell (parameterized by a scene coherence time). The authors simulate INSAR images of two-dimensional ocean wave fields by using the Monte-Carlo method, from which the INSAR amplitude and phase image spectra are calculated. It is shown that the INSAR phase image spectrum is almost independent of the radar cross section modulation, while the conventional SAR image spectra are more strongly affected by the interference of the radar cross section and the velocity bunching modulations. The authors find that the scene coherence time and the distance between the two antennas are the limiting parameters for imaging of ocean waves by INSAR.
Keywords :
Monte Carlo methods; ocean waves; oceanographic techniques; radar applications; radar imaging; remote sensing; remote sensing by radar; synthetic aperture radar; INSAR; Monte-Carlo method; SAR; interferometric synthetic aperture radar imaging; measurement technique; ocean wave sea surface; radar cross section modulation; radar remote sensing; scene coherence time; simulation; two-dimensional ocean surface wave field; velocity bunching model; velocity bunching modulation; velocity spread; Coherence; Current measurement; Layout; Ocean waves; Phase modulation; Radar cross section; Sea surface; Surface waves; Synthetic aperture radar; Synthetic aperture radar interferometry;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoscience and Remote Sensing Symposium, 1994. IGARSS '94. Surface and Atmospheric Remote Sensing: Technologies, Data Analysis and Interpretation., International
Print_ISBN :
0-7803-1497-2
Type :
conf
DOI :
10.1109/IGARSS.1994.399241
Filename :
399241
Link To Document :
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