In this article, a review of polarimetric synthetic aperture radar (SAR) methods for sea oil
slick observation is presented. Marine oil pollution monitoring is a topic of great applicative …

A rapid development of marine infrastructures can be observed along the global coasts.
Offshore wind farms, oil and gas platforms, artificial islands, aquaculture, and more, are …

In this paper, a theoretical and experimental analysis of polarimetric synthetic aperture radar
(SAR) architectures is undertaken for sea oil slick observation purposes. Reference is made …

This letter presents a novel method for ship classification that uses synthetic-aperture-radar
images to distinguish ships based on superstructure scattering features. The ratio of …

Target detection in synthetic aperture radar (SAR) images has a wide range of applications
in military and civilian fields. However, for engineering applications involving edge …

As artificial intelligence continues to advance, deep learning has greatly contributed to the
advancement of ship recognition using synthetic aperture radar (SAR) images. Deep …

In multi‐sensor data fusion based on multiple features, the high dimensionality of feature
space increases the runtime and computational complexity. The present study proposes a …

Based on its advantages, compact polarimetric (CP) synthetic aperture radar (SAR) is
considered to be a good option for earth observations. This paper proposes an adaptive …

Compact polarimetric data exploitation, especially in hybrid-polarimetric (HP) mode, is
currently attracting increasing interest due to the new generation of synthetic aperture radar …

In this article, we propose a target detection algorithm with a polarization feature-driven
neural network for compact polarimetric (CP) SAR data. First, we use the power–entropy …