SHALLOW SEAWATER DEPTH RETRIEVAL BASED ON BOTTOM CLASSIFICATION FROM REMOTE SENSING IMAGERY
文献类型：SCI/SSCI论文
| 作者 | Pang L. ; Zhang M. B. ; Zhang J. X. ; Zheng Z. Q. ; Lin Z. J. |
| 发表日期 | 2004 |
| 关键词 | multispectral remote sensing bathymetry model PCA bottom classification |
| 英文摘要 | Remote sensing technique, replacing conventional sonar bathymetry technique, has become an effective complementary method of mapping submarine terrain where special conditions make the sonar technique difficult to be carried out. At the same time, as one kind of data set, multispectral remote sensing data has the disadvantage of being influenced by the variable bottom types in shallow seawater, when it is applied in bathymetry. This paper puts forward a new method to extract water depth information from multispectral data, considering the bottom classification and the true water depth accuracy. That is the Principal Component Analysis (PCA) technique based on the bottom classification. By the least square regression with significance, the experiment near Qingdao City has obtained more satisfactory bathymetry accuracy than that of the traditional single-band method, with the mean absolute error about 2.57m. |
| 出处 | Chinese Geographical Science |
| 卷 | 14 |
| 期 | 3 |
| 页 | 258-262 |
| 收录类别 | SCI |
| 语种 | 英语 |
| ISSN号 | 1002-0063 |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/23237]  |
| 专题 | 地理科学与资源研究所_历年回溯文献 |
| 推荐引用方式 GB/T 7714 | Pang L.,Zhang M. B.,Zhang J. X.,et al. SHALLOW SEAWATER DEPTH RETRIEVAL BASED ON BOTTOM CLASSIFICATION FROM REMOTE SENSING IMAGERY. 2004. |
入库方式： OAI收割
来源：地理科学与资源研究所
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