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Ground-Based Cloud Detection Using Graph Model Built Upon Superpixels

文献类型：期刊论文

作者Shi, Cunzhao1; Wang, Yu1,2; Wang, Chunheng1; Xiao, Baihua1
刊名IEEE GEOSCIENCE AND REMOTE SENSING LETTERS
出版日期2017-05-01
卷号14期号:5页码:719-723
关键词Cloud Detection Color Graph Model (Gm) Segmentation Superpixel Texture
DOI10.1109/LGRS.2017.2676007
文献子类Article
英文摘要Cloud 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.
WOS关键词ALL-SKY IMAGES ; COVER ; CLASSIFICATION ; STATE
WOS研究方向Geochemistry & Geophysics ; Engineering ; Remote Sensing ; Imaging Science & Photographic Technology
语种英语
WOS记录号WOS:000399953800028
资助机构National Natural Science Foundation of China(61531019 ; 61601462 ; 71621002)
源URL[http://ir.ia.ac.cn/handle/173211/15258]  
专题自动化研究所_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团队
作者单位1.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
推荐引用方式
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.

入库方式： OAI收割

来源：自动化研究所

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