Enhancement of Spectral Resolution for Remotely Sensed Multispectral Image
文献类型：期刊论文
| 作者 | Sun, Xuejian1; Zhang, Lifu1; Yang, Hang1; Wu, Taixia1; Cen, Yi1; Guo, Yi1 |
| 刊名 | IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING
 |
| 出版日期 | 2015 |
| 卷号 | 8期号:5页码:38-47 |
| 关键词 | Date fusion hyperspectral (HS) image multispectral (MS) image multitemporal spectral resolution enhancement |
| 通讯作者 | Yang, H (reprint author), Chinese Acad Sci, Inst Remote Sensing & Digital Earth, State Key Lab Remote Sensing Sci, Beijing 100101, Peoples R China. |
| 英文摘要 | Hyperspectral (HS) remote sensing has an important role in a wide variety of fields. However, its rapid progress has been constrained due to the narrow swath of HS images. This paper proposes a spectral resolution enhancement method (SREM) for remotely sensed multispectral (MS) image, to generate wide swath HS images using auxiliary multi/hyper-spectral data. Firstly, a set number of spectra of different materials are extracted from both the MS and HS data. Secondly, the approach makes use of the linear relationships between multi and hyper-spectra of specific materials to generate a set of transformation matrices. Then, a spectral angle weighted minimum distance (SAWMD) matching method is used to select a suitable matrix to create HS vectors from the original MS image, pixel by pixel. The final result image data has the same spectral resolution as the original HS data that used and the spatial resolution and swath were also the same as for the original MS data. The derived transformation matrices can also be used to generate multitemporal HS data from MS data for different periods. The approach was tested with three image datasets, and the spectra-enhanced and real HS data were compared by visual interpretation, statistical analysis, and classification to evaluate the performance. The experimental results demonstrated that SREM produces good image data, which will not only greatly improve the range of applications for HS data but also encourage more utilization of MS data. |
| 研究领域[WOS] | Engineering, Electrical & Electronic ; Geography, Physical ; Remote Sensing ; Imaging Science & Photographic Technology |
| 收录类别 | SCI ; EI |
| 语种 | 英语 |
| WOS记录号 | WOS:000358569400028 |
| 源URL | [http://ir.ceode.ac.cn/handle/183411/38205]  |
| 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.[Sun, Xuejian 2.Zhang, Lifu 3.Yang, Hang 4.Wu, Taixia 5.Cen, Yi] Chinese Acad Sci, Inst Remote Sensing & Digital Earth, State Key Lab Remote Sensing Sci, Beijing 100101, Peoples R China 6.[Guo, Yi] Commonwealth Sci & Ind Org CSIRO, Digital Product & Serv Flagship, N Ryde, NSW 2113, Australia |
| 推荐引用方式 GB/T 7714 | Sun, Xuejian,Zhang, Lifu,Yang, Hang,et al. Enhancement of Spectral Resolution for Remotely Sensed Multispectral Image[J]. IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING,2015,8(5):38-47. |
| APA | Sun, Xuejian,Zhang, Lifu,Yang, Hang,Wu, Taixia,Cen, Yi,&Guo, Yi.(2015).Enhancement of Spectral Resolution for Remotely Sensed Multispectral Image.IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING,8(5),38-47. |
| MLA | Sun, Xuejian,et al."Enhancement of Spectral Resolution for Remotely Sensed Multispectral Image".IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING 8.5(2015):38-47. |
入库方式： OAI收割
来源：遥感与数字地球研究所
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