Ground-Based Cloud Detection Using Graph Model Built Upon Superpixels
Shi, Cunzhao1; Wang, Yu1,2; Wang, Chunheng1; Xiao, Baihua1
Source PublicationIEEE GEOSCIENCE AND REMOTE SENSING LETTERS
2017-05-01
Volume14Issue:5Pages:719-723
SubtypeArticle
AbstractCloud detection plays an important role in climate models, climate predictions, and meteorological services. Although researchers have given increasing efforts on cloud detection, the performance is still unsatisfactory due to the diverse nature of clouds. Considering the fact that one source of information (color or texture) is not enough to segment cloud from clear sky, in this letter, we propose a novel ground-based cloud detection method using graph model (GM) built upon superpixels to integrate multiple sources of information. First, we use the superpixel segmentation to divide the image into a series of subregions according to the color similarity and spatial continuity. Next, adjacent superpixels are merged according to their similarity of extracted features. Finally, we build a GM on the merged superpixels by considering each superpixel as a node and adding edges between neighboring ones. The unary cost is set according to the classification score of Random Forests, while pairwise cost reflects the penalties for color and texture discontinuity between neighboring components. The final segmentation could be acquired by minimizing the cost function. Moreover, the algorithm is computationally efficient as we use the superpixels rather than raw pixels as computation units. Experimental results demonstrate the effectiveness and efficiency of the proposed method for cloud detection.
KeywordCloud Detection Color Graph Model (Gm) Segmentation Superpixel Texture
WOS HeadingsScience & Technology ; Physical Sciences ; Technology
DOI10.1109/LGRS.2017.2676007
WOS KeywordALL-SKY IMAGES ; COVER ; CLASSIFICATION ; STATE
Indexed BySCI
Language英语
Funding OrganizationNational Natural Science Foundation of China(61531019 ; 61601462 ; 71621002)
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:000399953800028
Citation statistics
Cited Times:3[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/15258
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.Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China
2.Shanxi Univ, Sch Software, Taiyuan 030006, Peoples R China
Recommended Citation
GB/T 7714
Shi, Cunzhao,Wang, Yu,Wang, Chunheng,et al. Ground-Based Cloud Detection Using Graph Model Built Upon Superpixels[J]. IEEE GEOSCIENCE AND REMOTE SENSING LETTERS,2017,14(5):719-723.
APA Shi, Cunzhao,Wang, Yu,Wang, Chunheng,&Xiao, Baihua.(2017).Ground-Based Cloud Detection Using Graph Model Built Upon Superpixels.IEEE GEOSCIENCE AND REMOTE SENSING LETTERS,14(5),719-723.
MLA Shi, Cunzhao,et al."Ground-Based Cloud Detection Using Graph Model Built Upon Superpixels".IEEE GEOSCIENCE AND REMOTE SENSING LETTERS 14.5(2017):719-723.
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