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Splitting the Hyperspectral-Multispectral Image Fusion Problem into Weighted Pan-sharpening Problems - The Spectral Grouping Concept

Grohnfeldt, Claas and Zhu, Xiao Xiang and Bamler, Richard (2015) Splitting the Hyperspectral-Multispectral Image Fusion Problem into Weighted Pan-sharpening Problems - The Spectral Grouping Concept. In: Proceedings of 7th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing - WHISPERS 2015, pp. 1-4. IEEE Xplore. WHISPERS 2015, 2-5 June 2015, Tokyo, Japan.

Full text not available from this repository.

Official URL: http://www.ieee-whispers.com/images/techprograms/whispers_2015_technical_program.pdf

Abstract

Due to the trade-off between spatial and spectral resolution in optical imaging systems, hyperspectral instruments provide data of comparatively low spatial resolution. In order to develop higher resolution hyperspectral data via post-processing, image fusion algorithms can be applied to combine this data with imagery of lower spectral but higher spatial resolution. The similar but simpler pan-sharpening problem, which refers to the fusion of low resolution multispectral with higher resolution panchromatic imagery, has been extensively studied and solved in the past two decades. This paper aims at making the large number of sophisticated pan-sharpening methods usable to solving the more challenging hyperspectral-multispectral image fusion problem. We propose a generic algorithm – called Spectral Grouping – to devide the hyperspectral-multispectral image fusion problem autonomously into weighted pan-sharpening problems using the relative spectral responses of both instruments.

Item URL in elib:https://elib.dlr.de/96405/
Document Type:Conference or Workshop Item (Speech)
Title:Splitting the Hyperspectral-Multispectral Image Fusion Problem into Weighted Pan-sharpening Problems - The Spectral Grouping Concept
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Grohnfeldt, ClaasDLR-IMFUNSPECIFIED
Zhu, Xiao XiangDLR-IMF/TUM-LMFUNSPECIFIED
Bamler, RichardDLR-IMF/TUM-LMFUNSPECIFIED
Date:2015
Journal or Publication Title:Proceedings of 7th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing - WHISPERS 2015
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Page Range:pp. 1-4
Editors:
EditorsEmail
UNSPECIFIEDIEEE Org.
Publisher:IEEE Xplore
Status:Published
Keywords:image fusion, hyperspectral resolution enhancement, generalization of pan-sharpening methods, spectral grouping
Event Title:WHISPERS 2015
Event Location:Tokyo, Japan
Event Type:international Conference
Event Dates:2-5 June 2015
Organizer:IEEE Org.
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Earth Observation
DLR - Research area:Raumfahrt
DLR - Program:R EO - Erdbeobachtung
DLR - Research theme (Project):R - Vorhaben hochauflösende Fernerkundungsverfahren
Location: Oberpfaffenhofen
Institutes and Institutions:Remote Sensing Technology Institute > SAR Signal Processing
Deposited By: Grohnfeldt, Claas
Deposited On:26 May 2015 13:50
Last Modified:15 Jan 2016 10:26

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