A Novel Spatial Analysis Method for Remote Sensing Image Classification

被引：0
作者：
Jianqiang Gao
Lizhong Xu
机构：
[1] Hohai University,College of Computer and Information Engineering
来源：
Neural Processing Letters | 2016年 / 43卷
关键词：
Remote sensing image; Projection matrix; Support vector machine; Image classification; Kernel method; 68T10; 68U10;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
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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页码：805 / 821
页数：16
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