Automatic Tracking and Characterization of Cumulonimbus Clouds from FY-2C Geostationary Meteorological Satellite Images
Figure 1
Configuration for cloud classification and segmentation of cumulonimbus (Cb). The cloud classification used artificial neural network (ANN) method, and segmentation used seeded region growing (SRG) method; CTseed: cloud type of seed; CT(x,y): cloud type of pixel (). TB1, TB2, and TB3 are the brightness temperature (TB) of three infrared (IR) channels (IR1, 10.3–11.3 μm; IR2, 11.5–12.5 μm; and WV 6.3–7.6 μm), respectively; G1, G2, and G3 are the gray value for three infrared (IR) channels, respectively.
