Xi'an Institute of Optics and Precision Mechanics,CAS
Extraction of water bodies from remotely sensed images | |
Liu, Jiahang1,2; Currit, Nate3; Meng, Xuelian3; Liu, J. | |
2010 | |
会议名称 | 18th International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2010 |
会议录名称 | ISPACS 2010 - 2010 International Symposium on Intelligent Signal Processing and Communication Systems, Proceedings |
会议日期 | 2010-12-06 |
会议地点 | Chengdu, China |
出版者 | IEEE Computer Society, 445 Hoes Lane - P.O.Box 1331, Piscataway, NJ 08855-1331, United States |
产权排序 | 1 |
摘要 | Extracting water bodies from remotely sensed imagery is an important procedure for many water related studies. It is considered as a challenging problem of automatically and effectively extracting water bodies from remotely sensed images, and many researchers rely on existing Geoinformation System (GIS) data or manual digitizing to obtain water body boundaries. This work firstly generalizes several water body characteristics in optical remotely sensed images and then proposes a segmentation-based water body extraction method. The proposed algorithm exploits several features and uses a perception machine (PM) of neural network (NN) to build a classifier. An overall classification accuracy of 96% indicates that this method holds promise for extracting water bodies from optical remotely sensed images. © 2010 IEEE. |
作者部门 | 遥感与智能信息系统研究中心 |
DOI | 10.1109/ISPACS.2010.5704742 |
收录类别 | EI |
ISBN号 | 9781424473717 |
语种 | 英语 |
引用统计 | |
文献类型 | 会议论文 |
条目标识符 | http://ir.opt.ac.cn/handle/181661/29214 |
专题 | 遥感与智能信息系统研究中心 |
通讯作者 | Liu, J. |
作者单位 | 1.Jiao Tong University, Shanghai, China 2.Xi'an Institute of Optics and Precise Machines, CAS, Shannxi, China 3.Texas State University, San Marcos, TX, United States |
推荐引用方式 GB/T 7714 | Liu, Jiahang,Currit, Nate,Meng, Xuelian,et al. Extraction of water bodies from remotely sensed images[C]:IEEE Computer Society, 445 Hoes Lane - P.O.Box 1331, Piscataway, NJ 08855-1331, United States,2010. |
条目包含的文件 | ||||||
文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | ||
Extraction of water (1133KB) | 会议论文 | 限制开放 | CC BY-NC-SA | 请求全文 |
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