期刊
NEURAL PROCESSING LETTERS
卷 43, 期 3, 页码 805-821出版社
SPRINGER
DOI: 10.1007/s11063-015-9447-0
关键词
Remote sensing image; Projection matrix; Support vector machine; Image classification; Kernel method
资金
- National Natural Science Foundation of P.R. China [61271386]
- Graduates' Research Innovation Program of Higher Education of Jiangsu Province of P.R. China [CXZZ13-0239]
A new and efficient classification model is introduced in this paper. The proposed model enjoys the information of null space of within-class and range space of within-class. And the proposed model aims at defining a reliable spatial analysis criterion for the remote sensing image, taking advantage of the differences in different areas. Finally, by incorporating fisher linear discriminant analysis and support vector machine (or K-nearest neighbor) classifier among image pixels, the model obtained more accurate classification results.
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