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Title
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Detecting the adjacency effect in hyperspectral imagery with spectral unmixing techniques
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Author
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Abstract
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| The adjacency effect is an interesting phenomenon characterized by the occurrence of path interferences between the reflectances coming from different ground-cover materials. The effect is caused by atmospheric scattering, hence a typical approach to its detection has been the modeling of radiation transfer and spectral correspondence at particular wavelengths. In this paper, we investigate the detection of adjacency effects as being a general unmixing problem. This means that we opt to use spectral unmixing to separate the true signature of a pixel from the background scatter reflected from its adjacent neighborhood. To account for different types of atmospheric scattering, we consider several unmixing methods. These include the established linear- and a recently studied generalized bilinear model, as well as a more data-driven unmixing that could implicitly address nonlinearities not covered by the first mentioned approaches. We evaluate these unmixing models by comparing their results with those obtained from a specialized treatment of the adjacency effect in turbid waters surrounded by vegetated land. This comparison is demonstrated on real data acquired under varying atmospheric conditions. |
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Language
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English
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Source (journal)
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IEEE journal of selected topics in applied earth observation and remote sensing / IEEE geoscience and remote sensing society; IEEE committee on earth observations. - New York (N.Y.)
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Publication
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New York (N.Y.)
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IEEE
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2013
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ISSN
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1939-1404
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DOI
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10.1109/JSTARS.2013.2240656
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Volume/pages
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6
:3
(2013)
, p. 1070-1078
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ISI
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000320871800002
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Full text (Publisher's DOI)
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