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
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;
Journal_Title :
Electronics Letters
DOI :
10.1049/el.2010.2613