Jian Wang, Tianxiang Cui, Yi Wang, Lin Sun. Cloud Detection for GF-5 Visible-Shortwave Infrared Advanced Hyperspectral Image[J]. Acta Optica Sinica, 2021, 41(9): 0928003
- Acta Optica Sinica
- Vol. 41, Issue 9, 0928003 (2021)
Fig. 1. Hyperspectral images of cloud detection areas (false color composite image of bands 110, 64, 44 in RGB, the red vector is the visually interpreted cloud boundary). (a) Image a; (b) image b; (c) image c; (d) image d
Fig. 2. Apparent reflectance curves of different ground objects in AHSI hyperspectral image (the averages are shown as solid dots, and the error bars correspond to the standard deviations)
Fig. 3. Band ratio between different types ground objects in AHSI hyperspectral image. (a) Thin cloud; (b) soil; (c) rock
Fig. 4. Cloud detection algorithm flow chart
Fig. 5. Cloud detection results, white represents cloud, and the red vector is the visually interpreted cloud boundary. (a) Image a; (b) image b; (c) image c; (d) image d
Fig. 6. Local comparison of cloud detection results. (a1)(a2) False color image (using bands 110, 64, and 44 to represent the R, G, and B bands, respectively); (b) visual interpretation results, red labeled as cloud pixels; (c) detection results of our algorithm, green labeled as cloud pixels
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Table 1. Comparison of parameters of GF-5 AHSI and EO-1 Hyperion
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Table 2. Cloud detection image parameters
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Table 3. Statistics of cloud detection accuracy of our algorithm
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