Ground-Based Cloud Detection Using Graph Model Built Upon Superpixels | |
Shi, Cunzhao1; Wang, Yu1,2; Wang, Chunheng1; Xiao, Baihua1 | |
发表期刊 | IEEE GEOSCIENCE AND REMOTE SENSING LETTERS |
2017-05-01 | |
卷号 | 14期号:5页码:719-723 |
文章类型 | Article |
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. |
关键词 | Cloud Detection Color Graph Model (Gm) Segmentation Superpixel Texture |
WOS标题词 | Science & Technology ; Physical Sciences ; Technology |
DOI | 10.1109/LGRS.2017.2676007 |
关键词[WOS] | ALL-SKY IMAGES ; COVER ; CLASSIFICATION ; STATE |
收录类别 | SCI |
语种 | 英语 |
项目资助者 | National Natural Science Foundation of China(61531019 ; 61601462 ; 71621002) |
WOS研究方向 | Geochemistry & Geophysics ; Engineering ; Remote Sensing ; Imaging Science & Photographic Technology |
WOS类目 | Geochemistry & Geophysics ; Engineering, Electrical & Electronic ; Remote Sensing ; Imaging Science & Photographic Technology |
WOS记录号 | WOS:000399953800028 |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/15258 |
专题 | 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 |
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 |
第一作者单位 | 中国科学院自动化研究所 |
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. |
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