CloudFU-Net: A Fine-Grained Segmentation Method for Ground-Based Cloud Images Based on an Improved Encoder-Decoder Structure

The segmentation of ground-based cloud image is a crucial aspect of ground-based cloud observation, with significant implications for meteorological forecasting, photovoltaic power prediction, and other related tasks. At present, the proposed method of ground-based cloud image segmentation only sepa...

Celý popis

Uložené v:

Podrobná bibliografia
Vydané v:	IEEE transactions on geoscience and remote sensing Ročník 62; s. 1 - 13
Hlavní autori:	Shi, Chaojun, Su, Zibo, Zhang, Ke, Xie, Xiongbin, Zheng, Xian, Lu, Qiaochu, Yang, Jiyuan
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York IEEE 2024 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	Cloud computing Clouds Coders Decoding Dilated convolution fine-grained segmentation of ground-based cloud ground-based cloud image dataset Ground-based observation Image processing Image segmentation Irradiance Kitchenware Meteorologists photovoltaic power prediction Photovoltaic systems Photovoltaics Predictions selective kernel (SK) attention Semantics Solar irradiance Solar radiation Weather forecasting
ISSN:	0196-2892, 1558-0644
On-line prístup:	Získať plný text
Tagy:	Pridať tag Žiadne tagy, Buďte prvý, kto otaguje tento záznam!

Buďte prvý, kto okomentuje tento záznam!