Improved pansharpening with un-mixing of mixed MS sub-pixels near boundaries between vegetation and non-vegetation objects
文献类型：期刊论文
| 作者 | Li, Hui1; Jing, Linhai1; Wang, Liming1; Cheng, Qiuming1 |
| 刊名 | Remote Sensing
 |
| 出版日期 | 2016 |
| 卷号 | 8期号:2 |
| 关键词 | GASES OBSERVING SATELLITE RETRIEVAL ALGORITHM CARBON-DIOXIDE METHANE EMISSIONS MODEL CO2 SCIAMACHY CHINA |
| 通讯作者 | Jing, Linhai (jinglinhai@hotmail.com) |
| 英文摘要 | Pansharpening is an important technique that produces high spatial resolution multispectral (MS) images by fusing low spatial resolution MS images and high spatial resolution panchromatic (PAN) images of the same area. Although numerous successful image fusion algorithms have been proposed in the last few decades to reduce the spectral distortions in fused images, few of these take into account the spectral distortions caused by mixed MS sub-pixels (MSPs). Typically, the fused versions of MSPs remain mixed, although some of the MSPs correspond to pure PAN pixels. Due to the significant spectral differences between vegetation and non-vegetation (VNV) objects, the fused versions of MSPs near VNV boundaries cause blurred VNV boundaries and significant spectral distortions in the fused images. In order to reduce the spectral distortions, an improved version of the haze- and ratio-based fusion method is proposed to realize the spectral un-mixing of MSPs near VNV boundaries. In this method, the MSPs near VNV boundaries are identified first. The identified MSPs are then defined as either pure vegetation or non-vegetation pixels according to the categories of the corresponding PAN pixels. Experiments on WorldView-2 and IKONOS images of urban areas using the proposed method yielded fused images with significantly clearer VNV boundaries and smaller spectral distortions than several other currently-used image fusion methods. © 2016 by the authors. |
| 学科主题 | Remote Sensing |
| 类目[WOS] | Remote Sensing |
| 收录类别 | SCI ; EI |
| 语种 | 英语 |
| WOS记录号 | WOS:20161302145610 |
| 源URL | [http://ir.radi.ac.cn/handle/183411/39229]  |
| 专题 | 遥感与数字地球研究所_SCI/EI期刊论文_期刊论文 |
| 作者单位 | 1. Key Laboratory of Digital Earth Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, No. 9 Dengzhuang South Road, Beijing, China 2. Department of Earth and Space Science and Enginering, York University, Toronto 3.ON, Canada 4. State Kay Lab of Geological Processes and Mineral Resources, China University of Geosciences, Beijing, China |
| 推荐引用方式 GB/T 7714 | Li, Hui,Jing, Linhai,Wang, Liming,et al. Improved pansharpening with un-mixing of mixed MS sub-pixels near boundaries between vegetation and non-vegetation objects[J]. Remote Sensing,2016,8(2). |
| APA | Li, Hui,Jing, Linhai,Wang, Liming,&Cheng, Qiuming.(2016).Improved pansharpening with un-mixing of mixed MS sub-pixels near boundaries between vegetation and non-vegetation objects.Remote Sensing,8(2). |
| MLA | Li, Hui,et al."Improved pansharpening with un-mixing of mixed MS sub-pixels near boundaries between vegetation and non-vegetation objects".Remote Sensing 8.2(2016). |
入库方式： OAI收割
来源：遥感与数字地球研究所
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。