Sophisticated Vegetation Classification Based on Feature Band Set Using Hyperspectral Image
文献类型：期刊论文
| 作者 | Shang Kun1; Zhang Xia1; Sun Yan-li1; Zhang Li-fu1; Wang Shu-dong1; Zhuang Zhi1 |
| 刊名 | SPECTROSCOPY AND SPECTRAL ANALYSIS
 |
| 出版日期 | 2015 |
| 卷号 | 35期号:6页码:11-19 |
| 关键词 | Hyperspectral image Sophisticated vegetation classification Construction of feature band set Optimization of spectral-dimension Optimization of spatial-dimension |
| 通讯作者 | Zhang, X (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 | There are two major problems of sophisticated vegetation classification (SVC) using hyperspectral image. Classification results using only spectral information can hardly meet the application requirements with the needed vegetation type becoming more sophisticated. And applications of classification image are also limited due to salt and pepper noise. Therefore the SVC strategy based on construction and optimization of vegetation feature band set (FBS) is proposed. Besides spectral and texture features of original image, 30 spectral indices which are sensitive to biological parameters of vegetation are added into FBS in order to improve the separability between different kinds of vegetation. And to achieve the same goal a spectral-dimension optimization algorithm of FBS based on class-pair separability (CPS) is also proposed. A spatial-dimension optimization algorithm of FBS based on neighborhood pixels' spectral angle distance (NPSAD) is proposed so that detailed information can be kept during the image smoothing process. The results of SVC experiments based on airborne hyperspectral image show that the proposed method can significantly improve the accuracy of SVC so that some widespread application prospects like identification of crop species, monitoring of invasive species and precision agriculture are expectable. |
| 研究领域[WOS] | Spectroscopy |
| 收录类别 | SCI ; EI |
| 语种 | 英语 |
| WOS记录号 | WOS:000355883400042 |
| 源URL | [http://ir.ceode.ac.cn/handle/183411/38188]  |
| 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.[Shang Kun 2.Zhang Xia 3.Sun Yan-li 4.Zhang Li-fu 5.Wang Shu-dong 6.Zhuang Zhi] Chinese Acad Sci, Inst Remote Sensing & Digital Earth, State Key Lab Remote Sensing Sci, Beijing 100101, Peoples R China 7.[Shang Kun] China Aero Geophys Survey & Remote Sensing Ctr La, Beijing 100083, Peoples R China 8.[Sun Yan-li] Univ Chinese Acad Sci, Beijing 100049, Peoples R China |
| 推荐引用方式 GB/T 7714 | Shang Kun,Zhang Xia,Sun Yan-li,et al. Sophisticated Vegetation Classification Based on Feature Band Set Using Hyperspectral Image[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS,2015,35(6):11-19. |
| APA | Shang Kun,Zhang Xia,Sun Yan-li,Zhang Li-fu,Wang Shu-dong,&Zhuang Zhi.(2015).Sophisticated Vegetation Classification Based on Feature Band Set Using Hyperspectral Image.SPECTROSCOPY AND SPECTRAL ANALYSIS,35(6),11-19. |
| MLA | Shang Kun,et al."Sophisticated Vegetation Classification Based on Feature Band Set Using Hyperspectral Image".SPECTROSCOPY AND SPECTRAL ANALYSIS 35.6(2015):11-19. |
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。