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Title
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Superresolution of hyperspectral images using spectral unmixing and sparse regularization
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Author
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Abstract
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| Unlike multispectral (MSI) and panchromatic (PAN) images, the spatial resolution of hyperspectral images (HSI) is limited. In many applications, HSI with a high spectral as well as spatial resolution are required. In this paper, a new method for superresolution of HSI is introduced. A high resolution HSI (HRHSI) is constructed by using the linear spectral unmixing model and making use of a MSI of the same scene. As a regularization, we apply a sparse representation of the HSI, obtained by constructing a dictionary of unrelated PAN images. Experiments show that the reconstruction quality is higher than some the well-known HSI spatial resolution enhancement methods. |
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Language
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English
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Source (journal)
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IEEE International Geoscience and Remote Sensing Symposium proceedings. - [New York]
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Source (book)
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36th IEEE International Geoscience and Remote Sensing Symposium (IGARSS), JUL 10-15, 2016, Beijing, PEOPLES R CHINA
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Publication
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New york
:
Ieee
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2016
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ISSN
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2153-6996
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ISBN
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978-1-5090-3332-4
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978-1-5090-3332-4
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DOI
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10.1109/IGARSS.2016.7730882
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Volume/pages
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(2016)
, p. 7216-7219
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ISI
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000388114607002
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Full text (Publisher's DOI)
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Full text (publisher's version - intranet only)
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