DLR-Logo -> http://www.dlr.de
DLR Portal Home | Imprint | Privacy Policy | Contact | Deutsch
Fontsize: [-] Text [+]

Compressive sensing for image fusion – with application to pan-sharpening

Zhu, Xiao Xiang and Wang, Xuan and Bamler, Richard (2011) Compressive sensing for image fusion – with application to pan-sharpening. IGARSS 2011, 24-29 July 2011, Vancouver, Canada. ISBN 978-1-4577-1003-2 ISSN 2153-6996

Full text not available from this repository.

Official URL: http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6049794


Data provided by most optic earth observation satellites such as IKONOS, Quick Bird and GeoEye are composed of a panchromatic channel of high spatial resolution (HR) and several multispectral channels at a lower spatial resolution (LR). The fusion of a HR panchromatic and the corresponding LR spectral channels is called "pan-sharpening". It aims at obtaining a high resolution multispectral image. In this paper, we propose a new sophisticated pan-sharpening method named Sparse Fusion of Images (SparseFI, pronounced as sparsify). SparseFI is based on the compressive sensing theory and explore the sparse representation of HR/LR multispectral image patches in the dictionaries pairs co-trained from the panchromatic image and its corresponding down-sampled version. Compared to other methods it "learns" from, i.e. adapts itself to, the data and has better performance than existing methods. Due to the fact that the SparseFI algorithm does not assume any model of the panchromatic image and thanks to the super-resolution capability and robustness of compressive sensing, it gives higher spatial and spectral resolution with less spectral distortion compared to the conventional methods.

Item URL in elib:https://elib.dlr.de/70700/
Document Type:Conference or Workshop Item (Speech)
Title:Compressive sensing for image fusion – with application to pan-sharpening
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Date:24 July 2011
Refereed publication:No
Open Access:No
Gold Open Access:No
In ISI Web of Science:No
Page Range:2793-2796
Series Name:Geoscience and Remote Sensing Symposium (IGARSS), 2011 IEEE International
Keywords:image fusion, pan sharpening, super resolution, compressive sensing
Event Title:IGARSS 2011
Event Location:Vancouver, Canada
Event Type:international Conference
Event Dates:24-29 July 2011
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: Wang, Yuanyuan
Deposited On:07 Sep 2011 15:10
Last Modified:08 May 2014 23:22

Repository Staff Only: item control page

Help & Contact
electronic library is running on EPrints 3.3.12
Copyright © 2008-2017 German Aerospace Center (DLR). All rights reserved.