作者
L Ma, MM Crawford, JW Tian
发表日期
2010/4/1
期刊
Electronics Letters
卷号
46
期号
7
页码范围
1
出版商
The Institution of Engineering & Technology
简介
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.
引用总数
201020112012201320142015201620172018201920202021202220233226743133213