An Eigenpoint Based Multiscale Method for Validating Quantitative Remote Sensing Products
文献类型：SCI/SSCI论文
| 作者 | Chen S. H. ; Su H. B. |
| 发表日期 | 2014 |
| 关键词 | image fusion modis decomposition transpiration surface |
| 英文摘要 | This letter first proposes the eigenpoint concept for quantitative remote sensing products (QRSPs) after discussing the eigenhomogeneity and eigenaccuracy for land surface variables. The eigenpoints are located according to the a trous wavelet planes of the QRSP. Based on these concepts, this letter proposes an eigenpoint based multiscale method for validating the QRSPs. The basic idea is that the QRSPs at coarse scales are validated by validating their eigenpoints using the QRSP at fine scale. The QRSP at fine scale is finally validated using observation data at the ground based eigenpoints at instrument scale. The ground based eigenpoints derived from the forecasted QRSP can be used as the observation positions when the satellites pass by the studied area. Experimental results demonstrate that the proposed method is manpower-and time-saving compared with the ideal scanning method and it is satisfying to perform simultaneous observation at these eigenpoints in terms of efficiency and accuracy. |
| 出处 | Advances in Meteorology |
| 收录类别 | SCI |
| 语种 | 英语 |
| ISSN号 | 1687-9309 |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/29942]  |
| 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 | Chen S. H.,Su H. B.. An Eigenpoint Based Multiscale Method for Validating Quantitative Remote Sensing Products. 2014. |
入库方式： OAI收割
来源：地理科学与资源研究所
浏览0
下载0
收藏0
其他版本
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。