Acta Optica Sinica, Volume. 40, Issue 16, 1628001(2020)
CDAG-Improved Algorithm and Its Application to GF-6 WFV Data Cloud Detection
Figures & Tables(11)
Fig. 1. Comparison of AVIRIS(solid line) and GF-6 WFV(dashed line) data spectral response curves at different bands. (a) 1st band; (b) 2nd band; (c) 4th band; (d) 6th band
Fig. 2. Comparison of raw image and simulated image of the Wisconsin area, USA. (a) Raw GF-6 WFV image; (b) simulated GF-6 WFV image
Fig. 4. Cloud detection results of GF-6 WFV data under different cloud cover conditions. (a) 2018-09-02; (b) 2019-06-07; (c) 2019-04-21; (d) 2018-11-03; (e) 2018-12-01; (f) 2018-09-23
Fig. 5. Cloud detection results of GF-6 WFV data before and after bright surface removal. (a) 2018-12-30; (b) 2019-04-21; (c) 2019-05-04
Fig. 6. Partial image vectorization results. (a) Vectorization result of vegetation image; (b) vectorization result of urban area image
Table 1. Typical examples of bright surface pixels in the pixel dataset
View tableTable 1. Typical examples of bright surface pixels in the pixel dataset
Table 2. Band combination and threshold selected under the original CDAG method
View tableTable 2. Band combination and threshold selected under the original CDAG method
Single band Multi band Band ratio B1>0.27 B1>0.18 & B4>0.34 0.80<B1/B7<1.08 B7>0.26 B1>0.22 & B7>0.26 0.99<B2/B8<1.20 B2>0.14 & B4>0.36 0.47<B3/B7<1.14 B2>0.18 & B7>0.26 0.91<B3/B8<1.07 B3>0.14 & B6>0.32 B3>0.14 & B7>0.26 B4>0.36 & B5>0.20 B4>0.36 & B8>0.18 B5>0.20 & B6>0.32
Table 3. Band and threshold selected by three-band dispersion combination
View tableTable 3. Band and threshold selected by three-band dispersion combination
Band Average Multi-band dispersion B1,B2,B5 A1=(B1+B2+B5)/3 [(B1-A1)/A1+(B2-A1)/A1+(B5-A1)/A1]<0.015 B1,B2,B5 A2=(B1+B3+B7)/3 [(B1-A2)/A2+(B3-A2)/A2+(B7-A2)/A2]<0.023 B1,B5,B7 A3=(B1+B5+B7)/3 [(B1-A3)/A3+(B5-A3)/A3+(B7-A3)/A3]<0.057 B2,B3,B7 A4=(B2+B3+B7)/3 [(B2-A4)/A4+(B3-A5)/A4+(B7-A4)/A4]<0.018 B2,B5,B7 A5=(B2+B5+B7)/3 [(B2-A5)/A5+(B5-A5)/A5+(B7-A5)/A5]<0.055 B3,B5,B7 A6=(B3+B5+B7)/3 [(B3-A6)/A6+(B5-A6)/A6+(B7-A6)/A6]<0.043
Table 4. Band and threshold selected by the bright surface detection algorithm
View tableTable 4. Band and threshold selected by the bright surface detection algorithm
Multi band Multi band+Band difference B1>0.30 & B2>0.32 & B7>0.28 B1>0.31 & B3>0.35 & B3-B7<0.015 B1>0.31 & B3>0.36 & B7>0.27 B1>0.31 & B4>0.39 & B4-B7<0.075 B2>0.33 & B3>0.37 & B7>0.28 B2>0.34 & B6>0.35 & B6-B7<0.035 B2>0.34 & B5>0.35 & B7>0.29
Table 5. Accuracy evaluation of cloud pixel detection results
View tableTable 5. Accuracy evaluation of cloud pixel detection results
Underlying surface Image CR /% ER /% MR /% SR /% 1 76.58 0.48 23.42 99.52 Bare soil 2 88.45 9.73 11.55 91.27 3 84.14 2.49 15.86 97.51 1 85.46 2.79 14.54 97.21 Building 2 88.63 7.38 11.37 92.62 3 83.79 3.42 16.21 96.58 1 90.36 0.28 9.64 99.72 Vegetation 2 90.87 0.66 9.13 99.34 3 88.04 0.15 11.96 99.85 1 82.55 0.53 17.45 99.47 Water 2 77.66 0.20 22.34 99.80 3 85.43 0.61 14.57 99.39 Total 85.16 2.39 14.84 97.69
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Zhen Dong, Lin Sun, Xirong Liu, Yongji Wang, Tianchen Liang. CDAG-Improved Algorithm and Its Application to GF-6 WFV Data Cloud Detection[J]. Acta Optica Sinica, 2020, 40(16): 1628001
Paper Information
Category: Remote Sensing and Sensors
Received: Feb. 27, 2020
Accepted: May. 11, 2020
Published Online: Aug. 7, 2020
The Author Email: Sun Lin (sunlin6@126.com)
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