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| adaptive water body information extraction using rs tupu computing model | |
| Hu Xiaodong; Luo Jiancheng; Xia Liegang; Shen Zhanfeng; Zhu Changming; Qiao Cheng | |
| 2011 | |
| Source | Cehui Xuebao/Acta Geodaetica et Cartographica Sinica
 |
| ISSN | 1001-1595 |
| Volume | 40Issue:5Pages:544-550 |
| English Abstract | A RS TUPU computing mechanism is designed, considering the advantages of the features of spatial clustered layer and non-linear spectral mapping layer, which aims to approach the accurate regional boundary of thematic area step by step. Meanwhile, extraction parameters in the process are adjusted automatically by adaptive information computing method. Subsequently, the RS TUPU computing model is proposed, which will be applied in water body extraction. The existing valid methods for water body extraction are analyzed first. On this basis, an adaptive water body extraction method using RS TUPU computing model (WERSTP) is proposed, where ETM image is selected as experimental data source. WERSTP combines with the advantages of methods based on index computing and spectral classification, and the experimental results show that this method obtains an effective extraction result to make it achieve the level of accuracy and automation in water body information extraction.; A RS TUPU computing mechanism is designed, considering the advantages of the features of spatial clustered layer and non-linear spectral mapping layer, which aims to approach the accurate regional boundary of thematic area step by step. Meanwhile, extraction parameters in the process are adjusted automatically by adaptive information computing method. Subsequently, the RS TUPU computing model is proposed, which will be applied in water body extraction. The existing valid methods for water body extraction are analyzed first. On this basis, an adaptive water body extraction method using RS TUPU computing model (WERSTP) is proposed, where ETM image is selected as experimental data source. WERSTP combines with the advantages of methods based on index computing and spectral classification, and the experimental results show that this method obtains an effective extraction result to make it achieve the level of accuracy and automation in water body information extraction. |
| Indexed Type | EI |
| Keyword | Photomapping |
| Department | (1) Institute of Remote Sensing Applications Chinese Academy of Sciences Beijing 100101 China; (2) Software College Zhejiang University of Technology Hangzhou 310023 China; (3) Graduated University Chinese Academy of Sciences Beijing 100049 China |
| Language | 中文 |
| Content Type | 期刊论文 |
| URI | http://ir.iscas.ac.cn/handle/311060/16178 |
| Collection | 中国科学院软件研究所 |
| Recommended Citation GB/T 7714 | Hu Xiaodong,Luo Jiancheng,Xia Liegang,et al. adaptive water body information extraction using rs tupu computing model[J]. Cehui Xuebao/Acta Geodaetica et Cartographica Sinica,2011,40(5):544-550. |
| APA | Hu Xiaodong,Luo Jiancheng,Xia Liegang,Shen Zhanfeng,Zhu Changming,&Qiao Cheng.(2011).adaptive water body information extraction using rs tupu computing model.Cehui Xuebao/Acta Geodaetica et Cartographica Sinica,40(5),544-550. |
| MLA | Hu Xiaodong,et al."adaptive water body information extraction using rs tupu computing model".Cehui Xuebao/Acta Geodaetica et Cartographica Sinica 40.5(2011):544-550. |
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