Aquatic plants have considerable effects on the hydraulic roughness and the qualitative
status of vegetated flows at real scale. Defining the most suitable practice of riparian …

A low-cost stereo vision technique is presented to estimate the ocean wave field in space
and time. The method costs only about 1% of traditional instruments for wave measurements …

The accurate measurement of the wave field and its spatiotemporal evolution is essential in
many hydrodynamic experiments and engineering applications. The binocular stereo …

Surveillance cameras are widely employed in monitoring river environments, providing
essential images for analyzing water dynamics. This study proposes a non-intrusive …

Spectral unmixing poses a significant challenge within hyperspectral image processing,
traditionally addressed by supervised convolutional neural network (CNN)-based …

Accurate spatial–temporal wave measurement is vital for ocean engineering applications.
Although stereo vision shows great potential in this field, performing dense reconstruction …

Artificial dunes serve as essential nature-based defenses against the increasing threats
posed by climate change and rising sea levels along coastal regions. However, these man …

In computational photography, high dynamic range (HDR) imaging refers to the family of
techniques used to recover a wider range of intensity values compared to the limited range …

Ocean wave is of great significance in marine environment prediction, maritime navigation,
and global climate change. Synthetic aperture radar (SAR) is widely used in ocean wave …

The use of convolutional neural networks (CNNs) in image classification has become the
standard method of approaching many computer vision problems. Here we apply pre …