A spaceborne synthetic aperture radar (SAR) can provide accurate images of the ocean
surface roughness day-or-night in nearly all-weather conditions, being a unique asset for …

Efficiently retrieving synthetic aperture radar (SAR) image is an important yet challenging
task in the remote sensing field. Due to the shortage of labeled SAR images for fine-tuning …

Ship classification based on high-resolution synthetic aperture radar (SAR) imagery plays
an increasingly important role in various maritime affairs, such as marine transportation …

The classification of large-scale high-resolution synthetic aperture radar (SAR) land cover
images acquired by satellites is a challenging task, facing several difficulties such as …

Remote sensing (RS) image retrieval is of great significant for geological information mining.
Over the past two decades, a large amount of research on this task has been carried out …

Synthetic aperture radar (SAR) image classification is a fundamental process for SAR image
understanding and interpretation. The traditional SAR classification methods extract shallow …

ABSTRACT A considerable volume of high-resolution remote sensing (HRRS) data is
generated with the intense space explorations happening globally. Remote sensing image …

The ocean wave spectrum is an essential parameter to fully describe the dynamic ocean
waves. Although the spaceborne Synthetic Aperture Radar (SAR) is a potential instrument to …

With the explosive growth of remote sensing big data, large-scale remote sensing image
retrieval (RSIR) has become one of the most challenging tasks in data mining, attracting …

Synthetic Aperture Radar (SAR) imagery has diverse applications in land and marine
surveillance. Unlike electro-optical (EO) systems, these systems are not affected by weather …