Advances in Spectral-Spatial Classification of Hyperspectral Images

Recent advances in spectral-spatial classification of hyperspectral images are presented in this paper. Several techniques are investigated for combining both spatial and spectral information. Spatial information is extracted at the object (set of pixels) level rather than at the conventional pixel...

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Vydáno v:	Proceedings of the IEEE Ročník 101; číslo 3; s. 652 - 675
Hlavní autoři:	Fauvel, Mathieu, Tarabalka, Yuliya, Benediktsson, Jon Atli, Chanussot, Jocelyn, Tilton, James C.
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	New York IEEE 01.03.2013 The Institute of Electrical and Electronics Engineers, Inc. (IEEE) Institute of Electrical and Electronics Engineers
Témata:	Classification Classification algorithms Computer Science Construction Feature extraction hyperspectral image Hyperspectral imaging Image contrast Image Processing Image segmentation Kernel kernel methods mathematical morphology morphological neighborhood Nearest neighbor searches Pixels Remote sensing segmentation Spatial resolution Spectra Spectral analysis spectral-spatial classifier Strategy spectral-spatial classifier morphological neighborhood hyperspectral image kernel method mathematical morphology segmentation classification
ISSN:	0018-9219, 1558-2256
On-line přístup:	Získat plný text
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