Downscaling remotely sensed imagery using area-to-point cokriging and multiple-point geostatistical simulation
文献类型：期刊论文
| 作者 | Tang, Yunwei1; Atkinson, Peter M.1; Zhang, Jingxiong1 |
| 刊名 | ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
 |
| 出版日期 | 2015 |
| 卷号 | 101页码:1279-1299 |
| 关键词 | Multiple-point geostatistics Conditional simulation Area-to-point cokriging Downscaling Super-resolution Data integration |
| 通讯作者 | Tang, YW (reprint author), Chinese Acad Sci, Inst Remote Sensing & Digital Earth, Key Lab Digital Earth Sci, 9 Dengzhuang South Rd, Beijing 100094, Peoples R China. |
| 英文摘要 | A cross-scale data integration method was developed and tested based on the theory of geostatistics and multiple-point geostatistics (MPG). The goal was to downscale remotely sensed images while retaining spatial structure by integrating images at different spatial resolutions. During the process of downscaling, a rich spatial correlation model in the form of a training image was incorporated to facilitate reproduction of similar local patterns in the simulated images. Area-to-point cokriging (ATPCK) was used as locally varying mean (LVM) (i.e., soft data) to deal with the change of support problem (COSP) for cross-scale integration, which MPG cannot achieve alone. Several pairs of spectral bands of remotely sensed images were tested for integration within different cross-scale case studies. The experiment shows that MPG can restore the spatial structure of the image at a fine spatial resolution given the training image and conditioning data. The super-resolution image can be predicted using the proposed method, which cannot be realised using most data integration methods. The results show that ATPCK-MPG approach can achieve greater accuracy than methods which do not account for the change of support issue. (C) 2014 International Society for Photogrammetry and Remote Sensing, Inc. (ISPRS). Published by Elsevier B.V. All rights reserved. |
| 研究领域[WOS] | Geography, Physical ; Geosciences, Multidisciplinary ; Remote Sensing ; Imaging Science & Photographic Technology |
| 收录类别 | SCI ; EI |
| 语种 | 英语 |
| WOS记录号 | WOS:000351250300016 |
| 源URL | [http://ir.ceode.ac.cn/handle/183411/38260]  |
| 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.[Tang, Yunwei] Chinese Acad Sci, Inst Remote Sensing & Digital Earth, Key Lab Digital Earth Sci, Beijing 100094, Peoples R China 2.[Atkinson, Peter M.] Univ Southampton, Geog & Environm, Southampton SO17 1BJ, Hants, England 3.[Zhang, Jingxiong] Wuhan Univ, Sch Remote Sensing & Informat Engn, Wuhan 430079, Peoples R China |
| 推荐引用方式 GB/T 7714 | Tang, Yunwei,Atkinson, Peter M.,Zhang, Jingxiong. Downscaling remotely sensed imagery using area-to-point cokriging and multiple-point geostatistical simulation[J]. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING,2015,101:1279-1299. |
| APA | Tang, Yunwei,Atkinson, Peter M.,&Zhang, Jingxiong.(2015).Downscaling remotely sensed imagery using area-to-point cokriging and multiple-point geostatistical simulation.ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING,101,1279-1299. |
| MLA | Tang, Yunwei,et al."Downscaling remotely sensed imagery using area-to-point cokriging and multiple-point geostatistical simulation".ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING 101(2015):1279-1299. |
入库方式： OAI收割
来源：遥感与数字地球研究所
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