Multiscale Water Body Extraction in Urban Environments From Satellite Images
文献类型：期刊论文
| 作者 | Zhou, Ya'nan1; Luo, Jiancheng2; Shen, Zhanfeng2; Hu, Xiaodong2; Yang, Haiping2 |
| 刊名 | IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING
 |
| 出版日期 | 2014-10-01 |
| 卷号 | 7期号:10页码:4301-4312 |
| 关键词 | Alos/avnir-2 Multiscale Extraction Spectral Mixture Analysis Terra/aster Urban Water Body |
| 文献子类 | Article |
| 英文摘要 | Water is a fundamental element in urban environments, and water body extraction is important for landscape and urban planning. Remote sensing has increasingly been used for water body extraction; however, in urban environments, this kind of approaches is challenging because of the significant within-class spectral variance in water areas and the presence of complex ground features. The objective of this study is to develop an automatic method that could improve water body extraction in urban environments from moderate spatial resolution satellite images. Central to our method is the combined use of multiscale extractions and spectral mixture analysis techniques in adaptive local regions. Specifically, we first calculate the NDWI image from experimental images for selecting water sample pixels. Second, on the basis of the selected water pixels, we apply an improved spectral mixture analysis technique on the experimental image to get water abundance of every pixel, and segment the abundance image to extract water bodies at the global scale. Third, in a similar manner, we iteratively conduct the water body extraction in multiscale local regions to refine the water bodies. Finally, the final result of water bodies is obtained when a stopping criterion is satisfied. We have implemented this method to produce water maps from an ALOS/AVNIR-2 image and a Terra/ASTER image covering urban areas. The experimental results illustrate that the proposed method has substantially outperformed two related methods that use the NDWI-based thresholding and the SVM classification for the entire image. |
| WOS关键词 | LAND-COVER CLASSIFICATION ; NONNEGATIVE MATRIX FACTORIZATION ; REMOTELY-SENSED IMAGERY ; SUPPORT VECTOR MACHINES ; MAXIMUM-LIKELIHOOD CLASSIFIERS ; ARTIFICIAL NEURAL-NETWORKS ; SPATIAL-RESOLUTION ; INDEX NDWI ; SAR DATA ; CHINA |
| 语种 | 英语 |
| WOS记录号 | WOS:000346977200026 |
| 出版者 | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/68453]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Zhou, Ya'nan |
| 作者单位 | 1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China 2.Chinese Acad Sci, Inst Remote Sensing & Digital Earth, Beijing 100101, Peoples R China |
| 推荐引用方式 GB/T 7714 | Zhou, Ya'nan,Luo, Jiancheng,Shen, Zhanfeng,et al. Multiscale Water Body Extraction in Urban Environments From Satellite Images[J]. IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING,2014,7(10):4301-4312. |
| APA | Zhou, Ya'nan,Luo, Jiancheng,Shen, Zhanfeng,Hu, Xiaodong,&Yang, Haiping.(2014).Multiscale Water Body Extraction in Urban Environments From Satellite Images.IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING,7(10),4301-4312. |
| MLA | Zhou, Ya'nan,et al."Multiscale Water Body Extraction in Urban Environments From Satellite Images".IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING 7.10(2014):4301-4312. |
入库方式： OAI收割
来源：地理科学与资源研究所
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