This paper proposes an image segmentation method for synthetic aperture radar (SAR),
exploring statistical properties of SAR data to characterize image regions. We consider\cal G …

An efficient strategy of image processing algorithms to deal with the speckle noise is to
incorporate data knowledge and models into them. In this letter, we introduce a hierarchical …

Synthetic aperture radar (SAR) image segmentation is a difficult problem due to the
presence of strong multiplicative noise. To attain multi-region segmentation for SAR images …

Synthetic aperture radar (SAR) image segmentation is an important task in image
processing. However, classic segmentation techniques are inadequate due to the presence …

For many applied problems in agricultural monitoring and food security, it is important to
provide reliable crop classification maps. In this paper, we aim to compare performance of …

We propose a new algorithm for ship detection in synthetic aperture radar (SAR) images
based on the human visual attention system. The human visual attention system identifies …

This paper investigates the application of a level set method for the automated multiphase
segmentation of multiband and polarimetric synthetic aperture radar (SAR) images. The …

This paper proposed a novel bionic selective visual attention mechanism to quickly select
regions that contain salient objects to reduce calculations. Firstly, lateral inhibition filtering …

Data provided by synthetic aperture radar (SAR) of Sentinel satellite can be useful for many
applications. However, as for any SAR image, speckle noise is present in acquired images …

Ship detection in static UAV aerial images is a fundamental challenge in sea target detection
and precise positioning. In this paper, an improved universal background model based on …