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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
DOI10.1109/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.
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