Multiple Band Selection for Anomaly Detection in Hyperspectral Imagery

被引：3

作者：

Wang, Lin ^{[2
]}

Chang, Chein-I ^{[1
]}

机构：

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

[2] Xidian Univ, Sch Phys & Optoelect Engn, Xian, Peoples R China

来源：

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

关键词：

Band selection; Dimensionality reduction (DR); Multiple band selection (MBS); Successive multiple band selection (SC-MBS); Sequential multiple band selection (SQ-MBS); Single band BS (SBS);

D O I：

10.1109/IGARSS.2016.7730831

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：

This paper develops a new approach to band selection (BS), called multiple band selection (MBS), which does not require band prioritization to select bands but rather relies on applications to select bands. Its idea is to first use virtual dimensionality (VD) to determine the number of multiple bands needed to be selected. Then MBS is performed by two major iterative process, sequential multiple band selection (SQ-MBS) and successive multiple band selection (SC-MBS). In order to evaluate the performance of MBS anomaly detection is used its application for demonstration.

引用

页码：7022 / 7025

页数：4

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