DocumentCode :
1460830
Title :
Generalised supervised local tangent space alignment for hyperspectral image classification
Author :
Ma, L. ; Crawford, Melba M. ; Tian, J.W.
Author_Institution :
State Key Lab. for Multi-spectral Inf. Process. Technol., Huazhong Univ. of Sci. & Technol., Wuhan, China
Volume :
46
Issue :
7
fYear :
2010
Firstpage :
497
Lastpage :
498
Abstract :
Providing the kernel function of the local tangent space alignment (LTSA) algorithm, the generalisation of both LTSA and supervised LTSA (SLTSA) is achieved. Moreover, using the generalised SLTSA (GSLTSA), a simplified classification algorithm is proposed for hyperspectral image data. Experimental results demonstrate that the generalisation method has good performance, and the GSLTSA is capable of exploiting the nonlinear properties of hyperspectral data to benefit the classification.
Keywords :
generalisation (artificial intelligence); image classification; learning (artificial intelligence); generalisation method; hyperspectral image classification; kernel function; local tangent space alignment algorithm; supervised LTSA algorithm;
fLanguage :
English
Journal_Title :
Electronics Letters
Publisher :
iet
ISSN :
0013-5194
Type :
jour
DOI :
10.1049/el.2010.2613
Filename :
5442113
Link To Document :
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