Preliminary evaluation of vessel detectability for Sentinel-1 SAR data

Performance of ship detection is influenced by synthetic aperture radar (SAR) imaging characteristics and environmental conditions. In this paper, aiming at evaluating vessel detectability for Sentinel-1 SAR data, a model based on a large-scale Sentinel-1A vessel chips database is established. The m...

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Bibliographic Details
Published in2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS) pp. 1848 - 1851
Main Authors Lanqing Huang, Bin Liu, Weiwei Guo, Zenghui Zhang, Wenxian Yu
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.07.2017
Subjects
Analytical models
Clutter
Data models
minimum detectable vessel length
Oceans
Radar imaging
SAR
Sentinel-1
Synthetic aperture radar
Vessel detectability
Wind speed
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Summary:Performance of ship detection is influenced by synthetic aperture radar (SAR) imaging characteristics and environmental conditions. In this paper, aiming at evaluating vessel detectability for Sentinel-1 SAR data, a model based on a large-scale Sentinel-1A vessel chips database is established. The model sensitivity is analyzed by simulation data. In the experiment, by inputting the parameters of imaging characteristics (incidence angle, polarization, spatial resolution) and environmental conditions (wind speed, wind direction, sea state) of a specific Sentinel-1 image, the minimum detectable vessel length can be estimated. Further validations demonstrate the availability of the estimated minimum detectable vessel length.
ISSN:2153-7003
DOI:10.1109/IGARSS.2017.8127336