With the wideband beamforming approaches, the synthetic aperture radar (SAR) could
achieve high azimuth resolution and wide swath. However, the performance of conventional …

Advanced multichannel spaceborne synthetic aperture radar (SAR) systems with multiple
elevation beams allow for obtaining high-resolution and wide-swath SAR images. However …

This research endeavors to advance land surface temperature (LST) prediction accuracy
through the development of a sophisticated machine learning model. Leveraging the …

Landslides, resulting from disturbances in slope equilibrium, pose a significant threat to
landscapes, infrastructure, and human life. Triggered by factors such as intense …

Three-dimensional SAR imaging of urban buildings is currently a hotspot in the research
area of remote sensing. Synthetic Aperture Radar (SAR) offers all-time, all-weather, high …

The multiple elevation beam (MEB) mode is an effective technique for enhancing imaging
width in spaceborne synthetic aperture radar (SAR) systems. This mode combines …

With the expanding scope of human activities in marine environments, the efficient detection
and tracking of mobile targets on the ocean's surface have become increasingly crucial …

Synthetic Aperture Radar (SAR) demonstrates advantages in continuous, all-weather, high-
resolution Earth observation. However, barrage jamming in both the time and frequency …

Abstract Background: In oncology, Patterns of Care (PoC) provide a detailed overview of all
cancer-treatment interventions and recapitulate the entire patient's journey. While manual …

Speech recognition is a rapidly growing field in machine learning. Conventional automatic
speech recognition systems were built based on independent components, that is an …