Spectral Similarity Measure Using Frequency Spectrum for Hyperspectral Image Classification
文献类型：期刊论文
| 作者 | Wang, Ke1; Yong, Bin1; Gu, Xingfa1; Xiao, Pengfeng1; Zhang, Xueliang1 |
| 刊名 | IEEE GEOSCIENCE AND REMOTE SENSING LETTERS
 |
| 出版日期 | 2015 |
| 卷号 | 12期号:1页码:185-189 |
| 关键词 | Classification frequency spectrum hyperspectral image remote sensing spectral similarity |
| 通讯作者 | Wang, K (reprint author), Hohai Univ, State Key Lab Hydrol Water Resources & Hydraul En, Nanjing 210098, Jiangsu, Peoples R China. |
| 英文摘要 | A novel spectral similarity measure approach, which is named spectral frequency spectrum difference (SFSD), is proposed for hyperspectral image classification based on the frequency spectrum of spectral signature using the Fourier transform. Many important characteristics of spectral signature can be clearly reflected in the frequency spectrum. Therefore, the spectral similarity is defined as the frequency spectrum's difference between the target and reference signatures. The frequency spectrum analysis in this study suggests that the magnitude values of the first few low-frequency components for spectral signature can effectively represent the spectral similarity. To balance the difference between the low-and high-frequency components, the frequency spectrum of the target spectral signature is taken as the normalized factor in the SFSD method. Next, the U. S. Geological Survey spectral data and two hyperspectral remote sensing images were employed as test data in our validation experiments. The new SFSD proposed here was compared with the leading approaches in terms of the spectral discriminability and classification accuracy. Results show that the SFSD exhibits a relatively better performance and has more robust applications for hyperspectral image classification. |
| 研究领域[WOS] | Geochemistry & Geophysics ; Engineering, Electrical & Electronic ; Remote Sensing ; Imaging Science & Photographic Technology |
| 收录类别 | SCI ; EI |
| 语种 | 英语 |
| WOS记录号 | WOS:000340952500027 |
| 源URL | [http://ir.ceode.ac.cn/handle/183411/38531]  |
| 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.[Wang, Ke 2.Yong, Bin] Hohai Univ, State Key Lab Hydrol Water Resources & Hydraul En, Nanjing 210098, Jiangsu, Peoples R China 3.[Gu, Xingfa] Chinese Acad Sci, Inst Remote Sensing & Digital Earth, Beijing 100101, Peoples R China 4.[Xiao, Pengfeng 5.Zhang, Xueliang] Nanjing Univ, Dept Geog Informat Sci, Nanjing 210023, Jiangsu, Peoples R China |
| 推荐引用方式 GB/T 7714 | Wang, Ke,Yong, Bin,Gu, Xingfa,et al. Spectral Similarity Measure Using Frequency Spectrum for Hyperspectral Image Classification[J]. IEEE GEOSCIENCE AND REMOTE SENSING LETTERS,2015,12(1):185-189. |
| APA | Wang, Ke,Yong, Bin,Gu, Xingfa,Xiao, Pengfeng,&Zhang, Xueliang.(2015).Spectral Similarity Measure Using Frequency Spectrum for Hyperspectral Image Classification.IEEE GEOSCIENCE AND REMOTE SENSING LETTERS,12(1),185-189. |
| MLA | Wang, Ke,et al."Spectral Similarity Measure Using Frequency Spectrum for Hyperspectral Image Classification".IEEE GEOSCIENCE AND REMOTE SENSING LETTERS 12.1(2015):185-189. |
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。