ETRO VUB
About ETRO  |  News  |  Events  |  Vacancies  |  Contact  
Home Research Education Industry Publications About ETRO

ETRO Publications

Full Details

Journal Publication

Spectral super-resolution for multispectral image based on spectral improvement strategy and spatial preservation strategy

This publication appears in: IEEE Transactions on Geoscience and Remote Sensing

Authors: C. Yi, Y. Zhao and J. C-W Chan

Volume: 57

Issue: 11

Pages: 9010-9024

Publication Year: 2019


Abstract:

While hyperspectral (HS) images play a significant role in many applications, they often suffer from issues such as low spatial resolution, low temporal resolution, and some of the acquired spectral bands are either with low signal-to-noise ratio (SNR) or invalid because of the very high-noise level. To address this issue, a spectral super-resolution method is proposed in this paper to recover a high-spectral-resolution HS image from multispectral (MS) images. The reconstructed HS image will have the same spatial resolution and coverage as the input MS image. The proposed method involves spectral improvement strategy and spatial preservation strategy. For spectral improvement strategy, auxiliary MS/HS image pairs of different landscapes are exploited to estimate spectral response relationship so that an HS image is obtained as an intermediate result. Then, spectral dictionary learning is exploited to recover a more accurate spectral reconstruction result. Spatial preservation strategy is used as a spatial constraint to ensure spatial consistency. In addition, the low-rank property of HS image is also introduced to make the use of global spectral coherence among HS bands. Experiments are conducted on both simulated and real datasets including spectral enhancement of RGB image and the MS image generated by AVIRIS data and real MS/HS data (ALI and Hyperion) captured by Earth Observingǃ (EOǃ) satellite. Experiment results demonstrate the superiority of our proposed method to other state-of-the-art methods.

Other Reference Styles
Current ETRO Authors

Prof. Dr. Jonathan C-W Chan

+32 (0)02 629 128

jcheungw@etrovub.be

more info

Other Publications

• Journal publications

IRIS • LAMI • AVSP

• Conference publications

IRIS • LAMI • AVSP

• Book publications

IRIS • LAMI • AVSP

• Reports

IRIS • LAMI • AVSP

• Laymen publications

IRIS • LAMI • AVSP

• PhD Theses

Search ETRO Publications

Author:

Keyword:  

Type:








- Contact person

- IRIS

- AVSP

- LAMI

- Contact person

- Thesis proposals

- ETRO Courses

- Contact person

- Spin-offs

- Know How

- Journals

- Conferences

- Books

- Vacancies

- News

- Events

- Press

Contact

ETRO Department

info@etro.vub.ac.be

Tel: +32 2 629 29 30

©2020 • Vrije Universiteit Brussel • ETRO Dept. • Pleinlaan 2 • 1050 Brussels • Tel: +32 2 629 2930 (secretariat) • Fax: +32 2 629 2883 • WebmasterDisclaimer