[HTML][HTML] Improving cloud type classification of ground-based images using region covariance descriptors
Y Tang, P Yang, Z Zhou, D Pan… - Atmospheric …, 2021 - amt.copernicus.org
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 …
of the Earth. Automatic cloud type classification of images continuously observed by the …
Comparison of evaporation duct height statistics based on surface bulk measurements over Yongxing Island
X Zhao, P Yang, F Zhou, Z Zhou - IEEE Antennas and Wireless …, 2023 - ieeexplore.ieee.org
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 …
height (EDH) distributions over Yongxing Island. Yearly statistics of the EDH computed by …
Inversion of Nighttime PM2.5 Mass Concentration in Beijing Based on the VIIRS Day-Night Band
X Zhao, H Shi, H Yu, P Yang - Atmosphere, 2016 - mdpi.com
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 …
propagation neural network (BP neural network) inversion model is established, using low-light …
The diurnal variation of the evaporation duct height and its relationship with environmental variables in the south China Sea
L Huang, X Zhao, Y Liu, P Yang… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
… 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, …
Ph.D. degree in atmospheric sciences from the PLA University of Science and Technology, …
Attenuation correction of weather radar reflectivity with arbitrary oriented microwave link
…, X Liu, Z Li, Z Zhou, K Song, P Yang - Advances in …, 2017 - Wiley Online Library
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 …
of the radar reflectivity using arbitrary oriented microwave link (referred henceforth to as …
A simple two-dimensional ray-tracing visual tool in the complex tropospheric environment
X Zhao, P Yang - Atmosphere, 2017 - mdpi.com
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 …
propagations in the tropospheric environment. It is capable of tracing ray paths through …
Daytime sea fog detection based on a two-stage neural network
Y Tang, P Yang, Z Zhou, X Zhao - Remote Sensing, 2022 - mdpi.com
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 …
activities. Due to the lack of sea observation data, meteorological satellites with high …
Auroral oval segmentation using dual level set based on local information
P Yang, Z Zhou, H Shi, Y Meng - Remote Sensing Letters, 2017 - Taylor & Francis
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 …
difficult due to low contrast, inhomogeneity and the presence of dayglow. In this paper, to …
Segmentation for remote sensing image with shape and spectrum prior
P Yang, Z Zhou, S Huang, H Shi - Neurocomputing, 2016 - Elsevier
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 …
and classification of remote sensing images. However, degradation caused by turbulent …
[HTML][HTML] Auroral Image Classification Based on Second-Order Convolutional Network and Channel Attention Awareness
Y Hu, Z Zhou, P Yang, X Zhao, Q Li, P Zhang - Remote Sensing, 2024 - mdpi.com
Accurate classification of ground-based auroral images is essential for studying variations in
auroral morphology and uncovering magnetospheric mechanisms. However, distinguishing …
auroral morphology and uncovering magnetospheric mechanisms. However, distinguishing …