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 …

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

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 …

Although deep learning has achieved great success in aircraft detection from SAR imagery,
its blackbox behavior has been criticized for low comprehensibility and interpretability. Such …

Automatic river bridge detection is a typical and valuable application for SAR image
analysis. However, the background information of SAR image is complex, and there are …

The spatial pattern and temporal variation in paddy rice areas captured by remote sensing
imagery provide an effective way of performing crop management and developing suitable …

Layover is a kind of geometric distortion in radar systems with side-look imaging, especially
in mountainous and dense urban areas. It causes phase distortion and alters target …

Timely and accurate survey of construction and demolition waste (C&DW) distribution is of
significance for managing C&DW and enhancing the quality of the urban environment …

Airports are important targets in both military and civilian tasks. Synthetic aperture radar
(SAR)-based airport detection has received increasing attention in recent years. However …