Recently, deep learning methods have achieved superior performance for polarimetric
synthetic aperture radar (PolSAR) image classification. Existing deep learning methods …

Despite the remarkable progress made in recent years, until today, the automatic detection
of changes in synthetic aperture radar (SAR) images remains a difficult task due to speckle …

Ship detection in the maritime domain awareness field has seen a significant shift towards
deep-learning-based techniques as the mainstream approach. However, most existing deep …

Object detection or identification is the one of the fundamental problems in computer vision
application. Even though, object detection is a successful research area, detection of small …

Recently, deep learning methods have achieved superior performance for Polarimetric
Synthetic Aperture Radar (PolSAR) image classification. Existing deep learning methods …

Polarimetric synthetic aperture radar (PolSAR) serves as a crucial instrument in marine
remote sensing. Making use of polarimetric information is paramount to enhancing the …

Vessels are usually paid much attention to in polarimetric synthetic aperture radar (PolSAR)
images. Analyzing the detailed polarimetric scattering mechanism of vessels can provide …