Scaling between Landsat-7 and SAR images based on ensemble empirical mode decomposition
文献类型：EI期刊论文
| 作者 | Xia Jun; Chen Shaohui; Su Hongbo; Tian Jing |
| 发表日期 | 2012 |
| 关键词 | Synthetic aperture radar Signal processing |
| 英文摘要 | Scaling is one of the important methods that can be used to produce high-resolution multispectral images (HRMIs) from a synthetic aperture radar (SAR) image and low-resolution multispectral images (LRMIs). The purpose of this article is to present an alternative solution of scaling the LRMIs according to one SAR image. The proposed method uses a trous wavelet transform (AWT) to abstract the details from the SAR image, and ensemble empirical mode decomposition (EMD) to inject the spatial details of the approximation plane of the SAR image into the LRMIs. The intrinsic mode functions (IMFs) of the LRMIs are updated using the gain that is derived from the background and observation covariances estimated from the IMFs of the LRMIs and the approximation plane of the SAR image. Experimental results confirm that the proposed method can provide significant improvements over other tested approaches. 2012 Copyright Taylor and Francis Group, LLC. |
| 出处 | International Journal of Remote Sensing
 |
| 卷 | 33期:3页:826-835 |
| 收录类别 | EI |
| 语种 | 英语 |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/27609]  |
| 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 | Xia Jun,Chen Shaohui,Su Hongbo,et al. Scaling between Landsat-7 and SAR images based on ensemble empirical mode decomposition. 2012. |
入库方式： OAI收割
来源：地理科学与资源研究所
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