Synthetic Aperture Radar (SAR), as a microwave sensor that can sense a target all day or
night under all-weather conditions, is of great significance for detecting water resources …

Automatic extraction of water bodies from various satellite images containing complex
targets is a very important and challenging task in remote sensing and image interpretation …

River width is an essential parameter for studying the river's hydrological process and has
been widely used to estimate the river discharge. The existing approaches to measuring …

Polarimetric synthetic aperture radar (PolSAR) image semantic segmentation is currently of
great importance for synthetic aperture radar (SAR) image interpretation, especially in …

Semantic segmentation of aerial videos has been extensively used for decision making in
monitoring environmental changes, urban planning, and disaster management. The …

In remote sensing along with image interpretation, water body segmentation (WBS) is a
significant problem. Over the course of a long period of time, the researchers have been …

The mapping of water surfaces is important for water resource and flood monitoring.
Synthetic Aperture Radar (SAR) images can be used to monitor water bodies and detect …

The availability of computationally efficient and powerful Deep Learning frameworks and
high-resolution satellite imagery has created new approach for developing complex …

Remote sensing plays a central role in the assessment of environmental phenomena and
has increasingly become a powerful tool for monitoring shorelines, river morphology, flood …

Synthetic Aperture Radar (SAR) is an active microwave sensor with all-day/night and all-
weather detection capability, which is crucial for detecting surface water resources. Surface …