Synthetic aperture radar (SAR) is playing an important role in maritime domain awareness.
As a fundamental ocean mission, SAR ship detection can offer high-quality services for …

Abstract Ship detection from Synthetic Aperture Radar (SAR) imagery is attracting increasing
attention due to its great value in ocean. However, existing most studies are frequently …

To achieve efficient ship detection in high-resolution synthetic aperture radar images, an
improved superpixel-level constant false alarm rate (CFAR) detection method is proposed …

Huge imbalance of different scenes' sample numbers seriously reduces synthetic aperture
radar (SAR) ship detection accuracy. Thus, to solve this problem, this letter proposes a …

Deep learning methods have made significant progress in ship detection in synthetic
aperture radar (SAR) images. The pretraining technique is usually adopted to support deep …

The increasing resolution of synthetic aperture radar (SAR) images makes ship targets
appear to be more structured and shaped and nevertheless contain many weak echoes in …

With the wide application of convolutional neural networks (CNNs), a variety of ship
detection methods based on CNNs in synthetic aperture radar (SAR) images were …

Ship detection from complex background synthetic aperture radar (SAR) images is a
challenging task. Due to varying local clutter and low signal-to-clutter ratio, the most …

For the detection of marine ship objects in radar images, large-scale networks based on
deep learning are difficult to be deployed on existing radar-equipped devices. This paper …

This paper proposes a new scheme for detecting ship targets in high-resolution (HR) single-
channel synthetic aperture radar (SAR) images. By using the proposed spatially enhanced …