Machine learning, particularly deep learning (DL), has become a central and state-of-the-art
method for several computer vision applications and remote sensing (RS) image …

Water detection from SAR imagery has significant values, such as the flood monitoring and
environmental protection. Nowadays, significant progress has been achieved in water …

Identifying permanent water and temporary water in flood disasters efficiently has mainly
relied on change detection method from multi-temporal remote sensing imageries, but …

Distributed scatter (DS) interferometric synthetic aperture radar is a powerful technology for
analyzing displacements of the earth's surface. Unfortunately, the preparatory step of DS pre …

Although deep learning techniques have achieved noticeable success in aircraft detection,
the scale heterogeneity, position difference, complex background interference, and speckle …

Driven by the urgent demand for flood monitoring, water resource management and
environmental protection, water-body detection in remote sensing imagery has attracted …

ABSTRACT Earthquake Triggered Landslides (ETLs) are serious secondary hazards of
earthquakes, causing severe casualties and property losses, and their rapid, automated and …

The automatic detection of aircrafts from SAR images is widely applied in both military and
civil fields, but there are still considerable challenges. To address the high variety of aircraft …

Timely and accurate large-scale water body mapping and dynamic monitoring are of great
significance for water resource planning, flood control, and disaster reduction applications …

Automatic ship target detection technique is a typical and meaningful application for
synthetic aperture radar (SAR) image interpretation. Nevertheless, the detection of ship …