This paper proposes a synthetic aperture radar (SAR) automatic target recognition approach
based on a global scattering center model. The scattering center model is established offline …

Thanks to the medium-to-high resolution and wide coverage imaging ability, satellite
synthetic aperture radar (SAR) systems are momentously developed for intelligent maritime …

Ship detection and classification in synthetic aperture radar (SAR) images play a vital role
for wide applications. Due to the unique SAR imaging mechanism, ship detection and …

The deep convolution neural network (CNN), which has prominent advantages in feature
learning, can learn and extract features from data automatically. Existing polarimetric …

Ship classification is the key step in maritime surveillance using synthetic aperture radar
(SAR) imagery. In this letter, we develop a new ship classification method in TerraSAR-X …

This paper presents a new ship classification methodology that uses single-pol synthetic
aperture radar (SAR) images to categorize targets based on a fuzzy logic (FL) decision rule …

Selecting discriminate features and constructing an appropriate classifier are two essential
factors for ship classification in a synthetic aperture radar (SAR) image. Unfortunately, these …

Ship recognition in synthetic aperture radar (SAR) images is essential for many applications
in maritime surveillance tasks. Recently, convolutional neural network (CNN)-based …

With the development of deep learning (DL), research on ship classification in synthetic
aperture radar (SAR) images has made remarkable progress. However, such research has …

This paper explores the ground moving target indication (GMTI) capabilities of the German
Aerospace Center's state-of-the-art airborne (F-SAR) and spaceborne (TerraSAR-X) …