High-precise water extraction based on spectral-spatial coupled remote sensing information
文献类型：会议论文
| 作者 | Luo ; Jiancheng1 ; Sheng ; Yongwei2 ; Shen ; Zhanfeng1 ; Li ; Junli3 |
| 出版日期 | 2010 |
| 会议名称 | 2010 IEEE International Geoscience and Remote Sensing Symposium |
| 会议日期 | 2010 |
| 会议地点 | Toulouse, France |
| 关键词 | Geology - Information analysis - Remote sensing - Hierarchical knowledge - High-precise - Information Extraction - Iterative transformation - Local scale - Object oriented - Remote sensing applications - Remote sensing information - Remotely sensed images - Research fields - Spatial scale - Spectral angles - Spectral libraries - Step-by-step - Water bodies - Water extraction - Water index |
| 页码 | 2840-2843 |
| 中文摘要 | Remote sensing information extraction is the key step of remote sensing application, and the automatic and high-precise extraction of water information from remotely sensed images is of great significance and urgently required in many research fields. This paper presents a step-by-step iterative transformation mechanism to extract water information, which uses spatial scale transformation mechanism of "whole-local" based on water index fitted from spectral library using spectral angle method first, and then fuses the hierarchical knowledge of water extraction and achieves the gradually approach of the water body's optimal margin iteratively by combining the segmentation and classification at wh ole an d local scales respectively. Experiment of plateau lake information extraction demonstrates its better accuracy and efficiency. © 2010 IEEE. (9 refs.) |
| 收录类别 | EI |
| 会议录 | Image and Signal Processing for Remote Sensing XVI
 |
| ISBN号 | 13: 9781424495665 |
| 源URL | [http://ir.xjlas.org/handle/365004/10910]  |
| 专题 | 新疆生态与地理研究所_中国科学院新疆生态与地理研究所(2010年以前数据) |
| 推荐引用方式 GB/T 7714 | Luo,Jiancheng1,Sheng,et al. High-precise water extraction based on spectral-spatial coupled remote sensing information[C]. 见:2010 IEEE International Geoscience and Remote Sensing Symposium. Toulouse, France. 2010. |
入库方式： OAI收割
来源：新疆生态与地理研究所
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