A NOVEL HIERARCHICAL METHOD FOR CHANGE DETECTION IN MULTITEMPORAL HYPERSPECTRAL IMAGES

被引：2

作者：

Liu, Sicong ^{[1
]}

Bruzzone, Lorenzo ^{[1
]}

Bovolo, Francesca ^{[1
]}

Du, Peijun

机构：

[1] Univ Trento, Dept Informat Engn & Comp Sci, Trento, Italy

来源：

2013 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS) | 2013年

关键词：

Change detection; hyperspectral images; multi-temporal analysis; multiple changes; hierarchical analysis;

D O I：

10.1109/IGARSS.2013.6721285

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 addressed the change-detection problem in multitemporal hyperspectral remote sensing images (CD-HS). The concept of "change" in multitemporal hyperspectral images is analyzed from the viewpoint of single pixel spectral signal. A novel hierarchical change-detection approach is proposed by considering both the change magnitude and spectral change information, which aims to identify the change classes having discriminable spectral behaviors. The proposed method is developed in an unsupervised way thus to provide a solution for real CD-HS cases, for which reference samples are often not available. Experimental results obtained on multitemporal Hyperion hyperspectral images confirm the effectiveness of the proposed change-detection approach.

引用

页码：823 / 826

页数：4

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