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Source Publication:IEEE GEOSCIENCE AND REMOTE SENSING LETTERS
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Deep Convolutional Activations-Based Features for Ground-Based Cloud Classification
期刊论文
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2017, 卷号: 14, 期号: 6, 页码: 816-820
Authors:
Shi, Cunzhao
;
Wang, Chunheng
;
Wang, Yu
;
Xiao, Baihua
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View/Download:252/114
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Submit date:2017/07/18
Cloud Classification
Convolutional Activations
Convolutional Neural Network (Cnn)
Fine-tune
Max Pooling
Sum Pooling
Ground-Based Cloud Detection Using Graph Model Built Upon Superpixels
期刊论文
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2017, 卷号: 14, 期号: 5, 页码: 719-723
Authors:
Shi, Cunzhao
;
Wang, Yu
;
Wang, Chunheng
;
Xiao, Baihua
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View/Download:177/52
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Submit date:2017/09/12
Cloud Detection
Color
Graph Model (Gm)
Segmentation
Superpixel
Texture
Measure for the Difference Between LBP Features Extracted From Original and Resized Cloud Images With Varying Resolutions
期刊论文
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2017, 卷号: 14, 期号: 7, 页码: 1106-1110
Authors:
Wang Y(王钰)
;
Shi CZ(史存召)
;
Wang CH(王春恒)
;
Xiao BH(肖柏华)
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Submit date:2017/09/12
Kullback-leibler (Kl) Divergence
Local Binary Patterns (Lbps)
Measure
Significance