Image classification by support vector machines

被引：5
|
作者：
Zhang, YN [1 ]
Zhao, RC [1 ]
Leung, Y [1 ]
机构：
[1] Northwestern Polytech Univ, Inst Signal Proc, Xian 710072, Shaanxi, Peoples R China
来源：
PROCEEDINGS OF 2001 INTERNATIONAL SYMPOSIUM ON INTELLIGENT MULTIMEDIA, VIDEO AND SPEECH PROCESSING | 2001年
关键词：
remote sensing; image classification; support vector machines;
D O I：
10.1109/ISIMP.2001.925408
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In this paper, support vector machines are used to classify plane targets on a binary remote sensing. The experiment results have shown that support vector machines can generalize well on difficult image classification problems where the only features are high dimensional binary values. Moreover, we observed that the range of the binary values of image affect the performance of classification results.
引用
收藏
页码：360 / 363
页数：4
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