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Autor(en):
Grohnfeldt, C.; Zhu, Xiao Xiang; Bamler, R.
Titel:
Jointly {Sparse} {Fusion} of {Hyperspectral} and {Multispectral} {Imagery}
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 present...     »
Stichworte:
Minimization, geophysical image processing, image resolution, Abstracts, Indexes, image fusion, J-SparseFI, Joint Sparsity, distributed compressive sensing, Correlation, data fusion, airborne HySpex hyperspectral data, correlation theory, J-SparseFI data fusion method, adjacent hyperspectral channel, hyperspectral image fusion, hyperspectral imagery, joint sparse fusion, multispectral image fusion, multispectral imagery, signal correlation, synthesized WorldView-2 imagery, Sea measurements, Spar...     »
Kongress- / Buchtitel:
Geoscience and {Remote} {Sensing} {Symposium} ({IGARSS}), 2013 {IEEE} {International}
Kongress / Zusatzinformationen:
00000
Jahr:
2013
Monat:
jul
Seiten:
4090--4093
Volltext / DOI:
doi:10.1109/IGARSS.2013.6723732
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