Unmanned aerial vehicles (UAVs) have been widely applied in military and civilian fields
due to their flexibility and effectiveness. As a vital component of UAVs, the vision system has …

The stripe noise in the multispectral remote sensing images, possibly resulting from the
instrument instability, slit contamination, and light interference, significantly degrades the …

Hyperspectral imagery (HSI) is an emerging remote sensing technology to discriminate
different remote sensing objects. However, the HSI spatial resolution is relatively low due to …

In recent years, object detectors based on convolutional neural networks have been widely
used on remote sensing images. However, the improvement of their detection performance …

Smoke is more observable than open fires. Optical satellite video has the advantages of a
wide monitoring range, fast response speed, and good economy in large-scale surface …

The advent of cloud computing and advanced processing technologies has elevated deep
learning (DL) as a leading method for hyperspectral imaging (HSI) classification. Classifying …

Hyperspectral images (HSIs) are typically utilized in a wide variety of practical applications.
HSI is replete with spatial and spectral information, which provides precise data for material …

As a computing platform that can deal with problems independently and adapt to different
environments, the brain-inspired function is similar to the human brain, which can effectively …

The swelling pressure of bentonite and bentonite mixtures is critical in designing barrier
systems for deep geological radioactive waste repositories. Accurately predicting the …

Cloud cover hinders accurate and timely monitoring of urban land cover (ULC). The
combination of synthetic aperture radar (SAR) and optical data without cloud contamination …