Title :
Image classification by support vector machines
Author :
Zhang, Yanning ; Zhao, Rongchun ; Leung, Yee
Author_Institution :
Inst. of Signal Process., Northwestern Polytech. Univ., Xian, China
Abstract :
Support vector machines are used to classify plane targets on a binary remote sensing. The experimental 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 images affect the performance of classification results
Keywords :
image classification; learning automata; remote sensing; binary remote sensing; binary values; classification results; high dimensional binary values; image classification problems; plane target classification; support vector machines; Classification tree analysis; Geography; Image classification; Lagrangian functions; Neural networks; Remote sensing; Signal processing; Support vector machine classification; Support vector machines; Web pages;
Conference_Titel :
Intelligent Multimedia, Video and Speech Processing, 2001. Proceedings of 2001 International Symposium on
Conference_Location :
Hong Kong
Print_ISBN :
962-85766-2-3
DOI :
10.1109/ISIMP.2001.925408
