Laser & Optoelectronics Progress, Volume. 61, Issue 4, 0428013(2024)
Deep Learning Cloud Detection Based on Regression Analysis of Temporal Data
Fig. 1. Apparent reflectance analysis of time series data, the dash shows the reflectivity line between cloudless image and thick cloud image in December
Fig. 2. Slope band analysis
Fig. 3. UNet++ model structure
Fig. 4. Model training parameters
Fig. 5. Comparison of cloud identification results between short-time-series dataset and single-temporal dataset. (a) Over the barren; (b) over the city; (c) over the forest; (d) over the grassland; (e) over the shrub; (f) over the ice and snow; (g) over water; (h) over wetland
Fig. 6. Accuracy comparison of models. (a) Over the barren; (b) over the city; (c) over the forest; (d) over the grassland; (e) over the shrub; (f) over the ice and snow; (g) over water; (h) over wetland
Fig. 7. Impact of threshold on precision and recall
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Yanan Tian, Yunling Li, Lin Sun, Shulin Pang, Ping Zhang. Deep Learning Cloud Detection Based on Regression Analysis of Temporal Data[J]. Laser & Optoelectronics Progress, 2024, 61(4): 0428013
Category: Remote Sensing and Sensors
Received: Dec. 26, 2022
Accepted: Mar. 15, 2023
Published Online: Feb. 26, 2024
The Author Email: Li Yunling (742984421@qq.com), Sun Lin (sunlin6@126.com)