PRELIMINARY EVALUATION OF VESSEL DETECTABILITY FOR SENTINEL-1 SAR DATA

被引：0

作者：

Huang, Lanqing ^{[1
]}

Liu, Bin ^{[1
]}

Guo, Weiwei ^{[1
]}

Zhang, Zenghui ^{[1
]}

Yu, Wenxian ^{[1
]}

机构：

[1] Shanghai Jiao Tong Univ, Shanghai Key Lab Intelligent Sensing & Recognit, 800 Dongchuan Rd, Shanghai, Peoples R China

来源：

2017 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS) | 2017年

基金：

中国国家自然科学基金;

关键词：

Vessel detectability; minimum detectable vessel length; Sentinel-1; SAR;

D O I：

暂无

中图分类号：

P [天文学、地球科学];

学科分类号：

07 ;

摘要：

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.

引用

页码：1848 / 1851

页数：4

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