HYPERSPECTRAL IMAGE RESOLUTION ENHANCEMENT BASED ON JOINT SPARSITY SPECTRAL UNMIXING

被引：13

作者：

Bieniarz, Jakub ^{[1
]}

Mueller, Rupert ^{[1
]}

Zhu, Xiao Xiang ^{[1
]}

Reinartz, Peter ^{[1
]}

机构：

[1] Earth Observat Ctr, German Aerosp Ctr DLR, D-82234 Wessling, Germany

来源：

2014 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS) | 2014年

关键词：

Hyperspectral image; image fusion; resolution enhancement; sparse unmixing; FUSION;

D O I：

10.1109/IGARSS.2014.6947017

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：

Relatively low spatial resolution of the space-borne hyperspectral images (HSI) is the main drawback to derive value added products. Recently, several techniques have been proposed in order to enhance the spatial resolution HSI by means of fusion with higher spatial resolution multispectral images. This paper presents an alternative approach based on the joint sparsity model for spectral unmixing with the use of a-priori spectral dictionary. To assess the results, we compare our algorithm with the state of the art methods.

引用

页码：2645 / 2648

页数：4

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