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Autor(en):
Zhu, Xiao Xiang; Grohnfeldt, C.; Bamler, R.
Titel:
Collaborative {Sparse} {Reconstruction} for {Pan}-{Sharpening}
Abstract:
In this paper, we extend the Sparse Fusion of Images (SparseFI, pronounced “sparsify”) algorithm, proposed by the authors before, to a Jointly Sparse Fusion of Images (J-SparseFI) algorithm by exploiting the possible signal structural correlations between different multispectral channels. The algorithm is evaluated using airborne UltraCam data. The superior performance of the proposed methods has been demonstrated by a statistic assessment. Moreover, first experimental result using airborne HySp...     »
Stichworte:
Image reconstruction, Remote sensing, Spatial resolution, geophysical image processing, image fusion, J-SparseFI algorithm, Joints, Sensors, J-SparseFI, Joint Sparsity, Pan-Sharpening, SparseFI, Dictionaries, airborne HySpex hyperspectral data, airborne UltraCam data evaluation, collaborative sparse reconstruction, jointly sparse fusion of image algorithm, multispectral channel, signal structural correlation, statistic assessment, HySpex
Kongress- / Buchtitel:
Geoscience and {Remote} {Sensing} {Symposium} ({IGARSS}), 2013 {IEEE} {International}
Kongress / Zusatzinformationen:
00001
Jahr:
2013
Monat:
jul
Seiten:
868--871
Volltext / DOI:
doi:10.1109/IGARSS.2013.6721297
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