Does Deblurring Improve Geometrical Hyperspectral Unmixing?
نویسندگان
چکیده
منابع مشابه
Hyperspectral Unmixing: Geometrical, Statistical, and Sparse Regression-Based Approaches
Hyperspectral instruments acquire electromagnetic energy scattered within their ground instantaneous field view in hundreds of spectral channels with high spectral resolution. Very often, however, owing to low spatial resolution of the scanner or to the presence of intimate mixtures (mixing of the materials at a very small scale) in the scene, the spectral vectors (collection of signals acquire...
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In hyperspectral imagery one pixel typically consists of a mixture of the re ectance spectra of several materials, where the mixture coe cients correspond to the abundances of the constituting materials. We assume linear combinations of re ectance spectra with some additive normal sensor noise and derive a probabilistic MAP framework for analyzing hyperspectral data. As the material reectance c...
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Y. Altmann, N. Brun , N. Dobigeon , K. March, S. Moussaoui, O. Schneegans 1School of Engineering and Physical Sciences, Heriot-Watt University Earl Mountbatten Building, Riccarton, EH14 4AS, Edinburgh, U.K. Laboratoire de Physique des Solides, CNRS UMR 8502, Univ. Paris-Sud, Univ. Paris-Saclay Bât. 510, 91405 Orsay Cedex, France University of Toulouse, IRIT/INP-ENSEEIHT/TéSA 2 rue Charles Camic...
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Given a set of mixed spectral vectors, spectral mixture analysis (or spectral unmixing) aims at estimating the number of reference materials, also called endmembers, their spectral signatures, and their fractional abundances. A semi-supervised approach to deal with the linear spectral unmixing problem consists in assuming that the observed spectral vectors are linear combinations of a small num...
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This paper is concerned with deblurring and spectral analysis of ground-based astronomical images of space objects. A numerical approach is provided for deblurring and sparse unmixing of ground-based hyperspectral images (HSI) of objects taken through atmospheric turbulence. Hyperspectral imaging systems capture a 3D datacube (tensor) containing: 2D spatial information, and 1D spectral informat...
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ژورنال
عنوان ژورنال: IEEE Transactions on Image Processing
سال: 2014
ISSN: 1057-7149,1941-0042
DOI: 10.1109/tip.2014.2300822