首页|Synthetic aperture radar oil spills detection based on morphological characteristics
Synthetic aperture radar oil spills detection based on morphological characteristics
扫码查看
点击上方二维码区域，可以放大扫码查看
原文链接
NETL
NSTL
Taylor & Francis
In recent years, oil spills in coastal regions have received a lot of public concern for its strong impact on the coastal ecological system. Synthetic aperture radar (SAR) is regarded as one of the most suitable sensors for oil spill monitoring for its wide-area and all-day all-weather surveillance capabilities. However, due to its special imaging mechanism, multiplicative speckle noise and dark patches caused by other physical phenomena always affect the accuracy of oil spill detection. In this work, an oil spill detection method based on dual-threshold segmentation and support vector machine was proposed. Experiments on SAR images illustrated the effectiveness of the proposed method in detecting and tracing oil spill from SAR images.
Institute of Space and Earth Information Science & Shenzhen Research Institute, The Chinese University of Hong Kong, Hong Kong & Shenzhen, China
Institute of Space and Earth Information Science & Shenzhen Research Institute, The Chinese University of Hong Kong, Hong Kong & Shenzhen, China,National Astronomical Observatories, Chinese Academy of Sciences, Beijing, 100012, China
NETL
NSTL
Taylor & Francis
