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Jointly Sparse Fusion of Hyperspectral and Multispectral Imagery

Grohnfeldt, Claas and Zhu, Xiao Xiang and Bamler, Richard (2013) Jointly Sparse Fusion of Hyperspectral and Multispectral Imagery. In: Proceedings of the IEEE International Geoscience and Remote Sensing Symposium (IGARSS), pp. 1-4. IEEE. IGARSS 2013, 21-26 July 2013, Melbourne, Australia.

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Abstract

In this paper we apply the recently proposed J-SparseFI data fusion method to the fusion of a low-resolution hyperspectral image and a high-resolution multispectral image. The high correlation of signals in adjacent hyperspectral channels is exploited by assuming signals in different channels are jointly sparse in suitable dictionaries that are created from the multispectral image. First experimental results using airborne HySpex hyperspectral data and synthesized WorldView-2 imagery are presented.

Item URL in elib:https://elib.dlr.de/83075/
Document Type:Conference or Workshop Item (Speech)
Title:Jointly Sparse Fusion of Hyperspectral and Multispectral Imagery
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Grohnfeldt, ClaasDLR-IMFUNSPECIFIED
Zhu, Xiao XiangDLR-IMF/TUM-LMFUNSPECIFIED
Bamler, RichardDLR-IMF/TUM-LMFUNSPECIFIED
Date:2013
Journal or Publication Title:Proceedings of the IEEE International Geoscience and Remote Sensing Symposium (IGARSS)
Refereed publication:No
Open Access:Yes
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Page Range:pp. 1-4
Publisher:IEEE
Status:Published
Keywords:J-SparseFI, data fusion, hyperspectral resolution enhancement, joint sparsity, distributed compressive sensing, HySpex
Event Title:IGARSS 2013
Event Location:Melbourne, Australia
Event Type:international Conference
Event Dates:21-26 July 2013
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:28 Jun 2013 12:31
Last Modified:31 Jul 2019 19:41

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