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Compressive Sensing for PAN-Sharpening

Wang, Xuan and Zhu, Xiao Xiang and Bamler, Richard and Makarau, Aliaksei (2011) Compressive Sensing for PAN-Sharpening. IEEE Xplore. International Symposium on Image and Data Fusion (ISIDF), Tengchong, China.

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Based on compressive sensing framework and sparse reconstruction technology, a new pan-sharpening method, named Sparse Fusion of Images (SparseFI, pronounced as sparsify), is proposed in [1]. In this paper, the proposed SparseFI algorithm is validated using UltraCam and WorldView-2 data. Visual and statistic analysis show superior performance of SparseFI compared to the existing conventional pan-sharpening methods in general, i.e. rich in spatial information and less spectral distortion. Moreover, popular quality assessment metrics are employed to explore the dependency on regularization parameters and evaluate the efficiency of various sparse reconstruction toolboxes.

Document Type:Conference or Workshop Item (Speech, Paper)
Title:Compressive Sensing for PAN-Sharpening
AuthorsInstitution or Email of Authors
Wang, XuanTUM
Bamler, RichardUNSPECIFIED
Makarau, AliakseiUNSPECIFIED
Date:August 2011
Refereed publication:No
In ISI Web of Science:No
Page Range:pp. 1-4
Publisher:IEEE Xplore
Keywords:compressive sensing, pan-sharpening, dictionary training, sparse coefficients estimation
Event Title:International Symposium on Image and Data Fusion (ISIDF)
Event Location:Tengchong, China
Event Type:international Conference
Organizer:Chinese Academy of Surveying and Mapping (CASM), ISPRS WG VII/6 - Remote Sensing Data Fusion
HGF - Research field:Aeronautics, Space and Transport (old)
HGF - Program:Space (old)
HGF - Program Themes:W EO - Erdbeobachtung
DLR - Research area:Space
DLR - Program:W EO - Erdbeobachtung
DLR - Research theme (Project):W - Vorhaben hochauflösende Fernerkundungsverfahreen (old)
Location: Oberpfaffenhofen
Institutes and Institutions:Remote Sensing Technology Institute > SAR Signal Processing
Remote Sensing Technology Institute > Photogrammetry and Image Analysis
Deposited By: Aliaksei Makarau
Deposited On:06 Feb 2012 07:47
Last Modified:03 Apr 2013 15:46

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