An information Theoretical Approach to Multiple-Band Selection for Hyperspectral Imagery

被引：2

作者：

Lee, Li-Chien ^{[1
]}

Ouyang, Yen-Chieh ^{[2
]}

Chen, Shih-Yu ^{[3
]}

Chang, Chein-I ^{[1
]}

机构：

[1] Univ Maryland, Dept Comp Sci & Elect Engn, Remote Sensing Signal & Image Proc Lab, Baltimore, MD 21250 USA

[2] Natl Chung Hsing Univ, Dept Elect Engn, Taichung, Taiwan

[3] Natl Yunlin Univ Sci & Technol, Dept Comp Sci & Informat Engn, Yuanlin, Taiwan

来源：

2016 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS) | 2016年

关键词：

Band selection; Multiple band selection (MBS); Successive channel capacity multiple band selection(SC-CCMBS); Sequential channel capacity multiple band selection (SQ-CCMBS); Virtual dimensionality (VD);

D O I：

10.1109/IGARSS.2016.7729716

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

An information theoretical approach to multiple-band selection (MBS) is presented in this paper. It formulates a MBS problem as a channel capacity problem by considering the original band set as a channel input space and the selected multiple band set as a channel output space with the channel transition probabilities specified by band discrimination between original bands and selected bands. Then bands are selected by iteratively finding a best possible input space that yields the maximal channel capacity. As a result, there is no need of band prioritization and de-correlation generally required by traditional band selection (BS). Two iterative algorithms are developed for MBS, sequential channel capacity MBS (SQ-CCMBS) and successive channel band selection (SC-CCMBS).

引用

页码：2773 / 2776

页数：4

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