Jointly spatial-spectral resolution enhancement of hyperspectral imagery

Yongqiang Zhao; Chen Yi; Jingxiang Yang

doi:10.1109/WHISPERS.2015.8075455

Jointly spatial-spectral resolution enhancement of hyperspectral imagery

Yongqiang Zhao
, Chen Yi
, Jingxiang Yang

School of Automation

Northwestern Polytechnical University Xian

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

For hyperspectral image, low spatial and spectral resolution will cause inaccurate object detection and classification. In this paper, a novel jointly spatial-spectral resolution enhancement algorithm is proposed to promote the spatial resolution and spectral resolution simultaneously, high spatial resolution information from panchromatic image is used as constraint in spectral enhancement while the high spectral resolution details are benefited for spatial enhancement, which makes spatial SR and spectral SR promote each other. The experiments prove that our algorithm can provide joint spatial-spectral enhanced results, which can outperform the state-of-art methods both in spatial and spectral domains.

Original language	English
Title of host publication	2015 7th Workshop on Hyperspectral Image and Signal Processing
Subtitle of host publication	Evolution in Remote Sensing, WHISPERS 2015
Publisher	IEEE Computer Society
ISBN (Electronic)	9781467390156
DOIs	https://doi.org/10.1109/WHISPERS.2015.8075455
State	Published - 2 Jul 2015
Event	7th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, WHISPERS 2015 - Tokyo, Japan Duration: 2 Jun 2015 → 5 Jun 2015

Publication series

Name	Workshop on Hyperspectral Image and Signal Processing, Evolution in Remote Sensing
Volume	2015-June
ISSN (Print)	2158-6276

Conference

Conference	7th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, WHISPERS 2015
Country/Territory	Japan
City	Tokyo
Period	2/06/15 → 5/06/15

Keywords

Hyperspectral image
sparse representation
spatial-spectral super resolution
unmixing

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10.1109/WHISPERS.2015.8075455

Cite this

Zhao, Y., Yi, C., & Yang, J. (2015). Jointly spatial-spectral resolution enhancement of hyperspectral imagery. In 2015 7th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, WHISPERS 2015 Article 8075455 (Workshop on Hyperspectral Image and Signal Processing, Evolution in Remote Sensing; Vol. 2015-June). IEEE Computer Society. https://doi.org/10.1109/WHISPERS.2015.8075455

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title = "Jointly spatial-spectral resolution enhancement of hyperspectral imagery",

abstract = "For hyperspectral image, low spatial and spectral resolution will cause inaccurate object detection and classification. In this paper, a novel jointly spatial-spectral resolution enhancement algorithm is proposed to promote the spatial resolution and spectral resolution simultaneously, high spatial resolution information from panchromatic image is used as constraint in spectral enhancement while the high spectral resolution details are benefited for spatial enhancement, which makes spatial SR and spectral SR promote each other. The experiments prove that our algorithm can provide joint spatial-spectral enhanced results, which can outperform the state-of-art methods both in spatial and spectral domains.",

keywords = "Hyperspectral image, sparse representation, spatial-spectral super resolution, unmixing",

author = "Yongqiang Zhao and Chen Yi and Jingxiang Yang",

note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; 7th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, WHISPERS 2015 ; Conference date: 02-06-2015 Through 05-06-2015",

year = "2015",

month = jul,

day = "2",

doi = "10.1109/WHISPERS.2015.8075455",

language = "英语",

series = "Workshop on Hyperspectral Image and Signal Processing, Evolution in Remote Sensing",

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booktitle = "2015 7th Workshop on Hyperspectral Image and Signal Processing",

}

Zhao, Y, Yi, C & Yang, J 2015, Jointly spatial-spectral resolution enhancement of hyperspectral imagery. in 2015 7th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, WHISPERS 2015., 8075455, Workshop on Hyperspectral Image and Signal Processing, Evolution in Remote Sensing, vol. 2015-June, IEEE Computer Society, 7th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, WHISPERS 2015, Tokyo, Japan, 2/06/15. https://doi.org/10.1109/WHISPERS.2015.8075455

Jointly spatial-spectral resolution enhancement of hyperspectral imagery. / Zhao, Yongqiang; Yi, Chen; Yang, Jingxiang.
2015 7th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, WHISPERS 2015. IEEE Computer Society, 2015. 8075455 (Workshop on Hyperspectral Image and Signal Processing, Evolution in Remote Sensing; Vol. 2015-June).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Jointly spatial-spectral resolution enhancement of hyperspectral imagery

AU - Zhao, Yongqiang

AU - Yi, Chen

AU - Yang, Jingxiang

PY - 2015/7/2

Y1 - 2015/7/2

N2 - For hyperspectral image, low spatial and spectral resolution will cause inaccurate object detection and classification. In this paper, a novel jointly spatial-spectral resolution enhancement algorithm is proposed to promote the spatial resolution and spectral resolution simultaneously, high spatial resolution information from panchromatic image is used as constraint in spectral enhancement while the high spectral resolution details are benefited for spatial enhancement, which makes spatial SR and spectral SR promote each other. The experiments prove that our algorithm can provide joint spatial-spectral enhanced results, which can outperform the state-of-art methods both in spatial and spectral domains.

AB - For hyperspectral image, low spatial and spectral resolution will cause inaccurate object detection and classification. In this paper, a novel jointly spatial-spectral resolution enhancement algorithm is proposed to promote the spatial resolution and spectral resolution simultaneously, high spatial resolution information from panchromatic image is used as constraint in spectral enhancement while the high spectral resolution details are benefited for spatial enhancement, which makes spatial SR and spectral SR promote each other. The experiments prove that our algorithm can provide joint spatial-spectral enhanced results, which can outperform the state-of-art methods both in spatial and spectral domains.

KW - Hyperspectral image

KW - sparse representation

KW - spatial-spectral super resolution

KW - unmixing

UR - https://www.scopus.com/pages/publications/85039154455

U2 - 10.1109/WHISPERS.2015.8075455

DO - 10.1109/WHISPERS.2015.8075455

M3 - 会议稿件

AN - SCOPUS:85039154455

T3 - Workshop on Hyperspectral Image and Signal Processing, Evolution in Remote Sensing

BT - 2015 7th Workshop on Hyperspectral Image and Signal Processing

PB - IEEE Computer Society

T2 - 7th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, WHISPERS 2015

Y2 - 2 June 2015 through 5 June 2015

ER -

Jointly spatial-spectral resolution enhancement of hyperspectral imagery

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