Automatic Cloud Detection for All-Sky Images Using Superpixel Segmentation
Liu,Shuang; Zhang,Linbo; Zhang,Zhong; Wang,Chunheng; Xiao,Baihua
Source PublicationIEEE Geosci. Remote Sensing Lett
AbstractCloud detection plays an essential role in meteoro-
logical research and has received considerable attention in recent
years. However, this issue is particularly challenging due to the
diverse characteristics of clouds. In this letter, a novel algorithm
based on superpixel segmentation (SPS) is proposed for cloud
detection. In our proposed strategy, a series of superpixels could
be obtained adaptively by SPS algorithm according to the char-
acteristics of clouds. We first calculate a local threshold for each
superpixel and then determine a threshold matrix for the whole
image. Finally, cloud can be detected by comparing with the
obtained threshold matrix. Experimental results show that our
proposed algorithm achieves better performance than the current
cloud detection algorithms.
KeywordCloud Detection Superpixel Segmentation (Sps) Threshold Matrix
Document Type期刊论文
AffiliationChinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China
Recommended Citation
GB/T 7714
Liu,Shuang,Zhang,Linbo,Zhang,Zhong,et al. Automatic Cloud Detection for All-Sky Images Using Superpixel Segmentation[J]. IEEE Geosci. Remote Sensing Lett,2015(2):354-358.
APA Liu,Shuang,Zhang,Linbo,Zhang,Zhong,Wang,Chunheng,&Xiao,Baihua.(2015).Automatic Cloud Detection for All-Sky Images Using Superpixel Segmentation.IEEE Geosci. Remote Sensing Lett(2),354-358.
MLA Liu,Shuang,et al."Automatic Cloud Detection for All-Sky Images Using Superpixel Segmentation".IEEE Geosci. Remote Sensing Lett .2(2015):354-358.
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