Dataset

M4Fog: A Global Multi-Regional, Multi-Modal, and Multi-Stage Dataset for Marine Fog Detection and Forecasting to Bridge Ocean and Atmosphere
This is the code and data for M4Fog: A Global Multi-Regional, Multi-Modal, and Multi-Stage Dataset for Marine Fog Detection and …
PDF 引用 代码 Track-A H8/9 Track-A FY4A Track-A GOES Track-B H8/9 Track-C H8/9 Area1 Track-C H8/9 Multi-areas Track-C FY4A Track-C Meteo-multiareas Track-C Meteo-single-area ICOADS
M4Fog: A Global Multi-Regional, Multi-Modal, and Multi-Stage Dataset for Marine Fog Detection and Forecasting to Bridge Ocean and Atmosphere
Weakly Supervised Sea Fog Detection in Remote Sensing Images via Prototype Learning
Sea fog detection is a challenging and significant task in the field of remote sensing. Deep learning-based methods have shown …
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Weakly Supervised Sea Fog Detection in Remote Sensing Images via Prototype Learning
SeaMAE: Masked Pre-Training with Meteorological Satellite Imagery for Sea Fog Detection
Sea fog detection (SFD) presents a significant challenge in the field of intelligent Earth observation, particularly in analyzing …
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SeaMAE: Masked Pre-Training with Meteorological Satellite Imagery for Sea Fog Detection
Weather2K: A Multivariate Spatio-Temporal Benchmark Dataset for Meteorological Forecasting Based on Real-Time Observation Data from Ground Weather Stations
Weather forecasting is one of the cornerstones of meteorological work. In this paper, we present a new benchmark dataset named …
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Weather2K: A Multivariate Spatio-Temporal Benchmark Dataset for Meteorological Forecasting Based on Real-Time Observation Data from Ground Weather Stations