Joint Processing of Spatial Resolution Enhancement and Spectral Unmixing for Hyperspectral Image

被引：2

作者：

Yi, Chen ^{[1
]}

Liu, Ying ^{[1
]}

Zheng, Ling ^{[1
]}

Gan, Yuquan ^{[1
]}

机构：

[1] Xian Univ Posts & Telecommun, Sch Commun & Informat Engn, Xian 710121, Shaanxi, Peoples R China

来源：

IEEE GEOSCIENCE AND REMOTE SENSING LETTERS | 2022年 / 19卷

关键词：

Spatial resolution; Dictionaries; Task analysis; Geoscience and remote sensing; Sparse matrices; Hyperspectral imaging; Degradation; Hyperspectral image (HSI); panchromatic image; resolution enhancement; sparse representation; spectral unmixing; SUPERRESOLUTION;

D O I：

10.1109/LGRS.2021.3118804

中图分类号：

P3 [地球物理学]; P59 [地球化学];

学科分类号：

0708 ; 070902 ;

摘要：

Spatial resolution enhancement and its subsequent tasks are always separated in conventional hyperspectral image (HSI) processing model. The requirement of the following task, such as unmixing, cannot be referred by spatial resolution enhancement. Moreover, errors and artifacts will also be transmitted and accumulated. In this work, we propose a joint processing method of spatial resolution enhancement and spectral unmixing for HSI (J-SRE-Un), where these two tasks are treated as constraints for each other to simultaneously achieve better performance. Experiments on both simulated and real data demonstrate the effectiveness and superiority of our method.

引用

页数：5

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