赵恒谦等:Hyperspectral Feature Extraction Based On The Reference Spectral Background Removal Method
被阅读 901 次
2015-10-19
Hyperspectral Feature Extraction Based On The Reference Spectral Background Removal Method
作者:Zhao, HQ (Zhao, Hengqian)[ 1,2 ] ; Zhang, LF (Zhang, Lifu)[ 1 ] ; Zhang, X (Zhang, Xia)[ 1 ] ; Liu, J (Liu, Jia)[ 1 ] ; Wu, TX (Wu, Taixia)[ 1 ] ; Wang, SD (Wang, Shudong)[ 1 ]
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING
卷: 8  期: 6  页: 2832-2844  特刊: SI
DOI: 10.1109/JSTARS.2015.2401052
出版年: JUN 2015
 
摘要
In spectral analysis, diagnostic absorption features can indicate the existence of specific materials. Absorption parameters such as absorption center, absorption width, and absorption depth can be used in not only identification and quantitative analysis of minerals, but also in retrieval of surface physical properties. Continuum removal (CR) is commonly used to extract absorption features. However, for a band range containing more than one absorption contribution factors, the feature extracted by CR could be a result of comprehensive effect of different factors. In this paper, a new spectral feature extraction method named reference spectral background removal (RSBR) is proposed. Given the reference spectral background, RSBR can eliminate the influence of unwanted contribution factor, and extract the absorption feature of target contribution factor. Using RSBR, the basic absorption feature parameters including the absorption center, absorption width, and absorption depth are extracted. The results are compared with those obtained from the CR. It is shown that RSBR can effectively extract pure absorption features of target material, while more accurate absorption parameters can also be achieved.
 
通讯作者地址: Zhang, LF (通讯作者)
Chinese Acad Sci, Inst Remote Sensing & Digital Earth, State Key Lab Remote Sensing Sci, Beijing 100101, Peoples R China.
地址:
[ 1 ] Chinese Acad Sci, Inst Remote Sensing & Digital Earth, State Key Lab Remote Sensing Sci, Beijing 100101, Peoples R China
[ 2 ] Univ Chinese Acad Sci, Beijing 100101, Peoples R China