| Quantitative fusion of multi-sensor observations with combination of physical and empirical models | |
| Liu Ronggao | |
| 2012 | |
| 会议名称 | 2012 4th International Conference on Intelligent Human-Machine Systems and Cybernetics, IHMSC 2012, August 26, 2012 - August 27, 2012 |
| 会议地点 | Nanchang, Jiangxi, China |
| 关键词 | Dielectric properties Algorithms Cybernetics Data fusion Remote sensing |
| 页码 | 340-343 |
| 英文摘要 | Fusion of multi-sensor observations of satellites would improve land surface monitoring. Physical-based model is the most popular method for retrieval of atmospheric and land surface parameters from remote sensing data for its applicability for large area, while empirical model is more efficient and requires fewer constraints. In this paper, a pixelbased quantitative fusion algorithm of multi-sensor observations with combination of physical and empirical model is presented. Firstly, the parameter was retrieved from one sensor data based on physical model, and then used to establish the pixel-based empirical relationships with measurements of another sensor. Thus, the two retrieval methods could be combined and the observations of two sensors could also be fused. The algorithm was applied to fuse MISR with multiangular measurements and MODIS with high temporal resolution for retrieval of Leaf Area Index (LAI). The results were evaluated using field measurements in Changbaishan. 2012 IEEE. |
| 收录类别 | EI |
| 会议录出版者 | IEEE Computer Society |
| 语种 | 英语 |
| 内容类型 | 会议论文 |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/31029]  |
| 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 | Liu Ronggao. Quantitative fusion of multi-sensor observations with combination of physical and empirical models[C]. 见:2012 4th International Conference on Intelligent Human-Machine Systems and Cybernetics, IHMSC 2012, August 26, 2012 - August 27, 2012. Nanchang, Jiangxi, China. |
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