This letter addresses the feature detection design for the target embedded in sea clutter.
Three polarization features (the relative surface scattering power, the relative volume …

Aiming at the low observable target detection under sea clutter backgrounds, this paper
emphasizes the exploration of distinguishable full-polarization features between target and …

Target detection played a vital role in radar image interpretation. The early studies usually
relied on the model-driven strategy, such as the constant false alarm rate technique. This …

Effective features extraction and high speed processing algorithms are key points for large
scene SAR image processing, such as ship detection in the ocean. Feature based ship …

This paper tackles the oil spill look-alikes detection based on multi-resolution technique
using Synthetic Aperture Radar (SAR) images acquired in X band. SAR sensors are …

Deep learning-based object detection requires sufficient datasets as training sets. However,
obtaining SAR real images of aerial targets is difficult and the number of images is limited …

This paper tackles the oil spills offshore monitoring using satellite Earth Observation tools
based on Synthetic Aperture Radar (SAR) sensors. The proposed processing scheme is …

A ship detector exploiting complex Synthetic Aperture Radar (SAR) data is designed based
on a statistical characterization of sea clutter. SAR satellite sensors are powerful tools for …

This paper tackles the design and evaluation of a vessel detection system based on
intelligent agents that allow the jointly exploitation of statistical information from polarimetric …

This paper tackles the monitoring of oil spills using satellite Earth Observation tools based
on Synthetic Aperture Radar (SAR) sensors. The proposed processing scheme is composed …