The distribution and frequency of occurrence of different cloud types affect the energy balance
of the Earth. Automatic cloud type classification of images continuously observed by the …

Six-year high-precision surface bulk measurements are used to analyze the evaporation duct
height (EDH) distributions over Yongxing Island. Yearly statistics of the EDH computed by …

In order to monitor nighttime particular matter (PM) air quality in urban area, a back
propagation neural network (BP neural network) inversion model is established, using low-light …

… Pinglv Yang received the BS and MS degrees in signal and information processing and the
Ph.D. degree in atmospheric sciences from the PLA University of Science and Technology, …

To compensate radar reflectivity for attenuation effect, a new method for attenuation correction
of the radar reflectivity using arbitrary oriented microwave link (referred henceforth to as …

This paper introduces a simple two-dimensional ray-tracing visual tool, Ray-VT, for simulating
propagations in the tropospheric environment. It is capable of tracing ray paths through …

Sea fog detection has received widespread attention because it plays a vital role in maritime
activities. Due to the lack of sea observation data, meteorological satellites with high …

The extraction of auroral ovals from images acquired by the Ultraviolet Imager is notoriously
difficult due to low contrast, inhomogeneity and the presence of dayglow. In this paper, to …

Segmentation of objects with a high accuracy is the key step to achieve automatic interpretation
and classification of remote sensing images. However, degradation caused by turbulent …

Accurate classification of ground-based auroral images is essential for studying variations in
auroral morphology and uncovering magnetospheric mechanisms. However, distinguishing …