Ground-Based Cloud Detection Using Automatic Graph Cut
Liu, Shuang1; Zhang, Zhong1; Xiao, Baihua2; Cao, Xiaozhong3
Source PublicationIEEE GEOSCIENCE AND REMOTE SENSING LETTERS
2015-06-01
Volume12Issue:6Pages:1342-1346
SubtypeArticle
AbstractGround-based cloud detection plays an essential role in meteorological research, and object segmentation techniques have recently been introduced to solve this issue. As a kind of object segmentation technique, interactive graph cut has emerged as a very powerful tool due to its effective segmentation ability. However, it requires users to provide labels for certain pixels as "object" or "background," which inevitably prohibits automatic cloud detection in large-scale applications. In this letter, we focus on the issue of automatic cloud detection and propose a novel algorithm named as automatic graph cut. We treat clouds as a special kind of object and eliminate human labeling by two procedures. First, we adaptively compute the thresholds for each cloud image which automatically label some pixels as "cloud" or "clear sky" with high confidence. Then, those labeled pixels serve as hard constraint seeds for the following graph cut algorithm. The experimental results show that the proposed algorithm not only achieves better results than the state-of-the-art cloud detection algorithms but also achieves comparable results with the interactive segmentation algorithm.
KeywordAutomatic Graph Cut (Agc) Ground-based Cloud Detection
WOS HeadingsScience & Technology ; Physical Sciences ; Technology
WOS KeywordALL-SKY IMAGES ; CLASSIFICATION ; COVER ; ALGORITHMS ; SUPPORT
Indexed BySCI
Language英语
WOS Research AreaGeochemistry & Geophysics ; Engineering ; Remote Sensing ; Imaging Science & Photographic Technology
WOS SubjectGeochemistry & Geophysics ; Engineering, Electrical & Electronic ; Remote Sensing ; Imaging Science & Photographic Technology
WOS IDWOS:000352571800037
Citation statistics
Cited Times:11[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/8134
Collection复杂系统管理与控制国家重点实验室_影像分析与机器视觉
Affiliation1.Tianjin Normal Univ, Coll Elect & Commun Engn, Tianjin 300387, Peoples R China
2.Chinese Acad Sci, Inst Automat, State Key Lab Management & Intelligent Control Co, Beijing 100190, Peoples R China
3.China Meteorol Adm, Meteorol Observat Ctr, Beijing 100081, Peoples R China
Recommended Citation
GB/T 7714
Liu, Shuang,Zhang, Zhong,Xiao, Baihua,et al. Ground-Based Cloud Detection Using Automatic Graph Cut[J]. IEEE GEOSCIENCE AND REMOTE SENSING LETTERS,2015,12(6):1342-1346.
APA Liu, Shuang,Zhang, Zhong,Xiao, Baihua,&Cao, Xiaozhong.(2015).Ground-Based Cloud Detection Using Automatic Graph Cut.IEEE GEOSCIENCE AND REMOTE SENSING LETTERS,12(6),1342-1346.
MLA Liu, Shuang,et al."Ground-Based Cloud Detection Using Automatic Graph Cut".IEEE GEOSCIENCE AND REMOTE SENSING LETTERS 12.6(2015):1342-1346.
Files in This Item:
There are no files associated with this item.
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Liu, Shuang]'s Articles
[Zhang, Zhong]'s Articles
[Xiao, Baihua]'s Articles
Baidu academic
Similar articles in Baidu academic
[Liu, Shuang]'s Articles
[Zhang, Zhong]'s Articles
[Xiao, Baihua]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Liu, Shuang]'s Articles
[Zhang, Zhong]'s Articles
[Xiao, Baihua]'s Articles
Terms of Use
No data!
Social Bookmark/Share
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.