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Towards a Combined Sparse Representation and Unmixing Based Hyperspectral Resolution Enhancement Method

Grohnfeldt, Claas and Zhu, Xiao Xiang (2015) Towards a Combined Sparse Representation and Unmixing Based Hyperspectral Resolution Enhancement Method. In: IEEE International Geoscience and Remote Sensing Symposium (IGARSS) 2015, pp. 1-4. IEEE. IGARSS 2015, 26-31 July 2015, Milan, Italy.

Full text not available from this repository.


Item URL in elib:https://elib.dlr.de/94284/
Document Type:Conference or Workshop Item (Speech)
Title:Towards a Combined Sparse Representation and Unmixing Based Hyperspectral Resolution Enhancement Method
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
Grohnfeldt, ClaasDLR-IMFUNSPECIFIED
Zhu, Xiao XiangDLR-IMF/TUM-LMFUNSPECIFIED
Date:July 2015
Journal or Publication Title:IEEE International Geoscience and Remote Sensing Symposium (IGARSS) 2015
Refereed publication:No
Open Access:No
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Page Range:pp. 1-4
Publisher:IEEE
Status:Published
Keywords:image fusion, J-SparseFI-HM, CNMF, resolution enhancement, sparse representation, spectral unmixing
Event Title:IGARSS 2015
Event Location:Milan, Italy
Event Type:international Conference
Event Dates:26-31 July 2015
Organizer:IEEE Geoscience and Remote Sensing Society
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Earth Observation
DLR - Research area:Raumfahrt
DLR - Program:R EO - Earth Observation
DLR - Research theme (Project):R - Vorhaben hochauflösende Fernerkundungsverfahren (old)
Location: Oberpfaffenhofen
Institutes and Institutions:Remote Sensing Technology Institute > SAR Signal Processing
Deposited By: Grohnfeldt, Claas
Deposited On:07 Jan 2015 16:12
Last Modified:04 Dec 2015 19:02

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