Title :
Aerial images segmentation based on SVM
Author :
Xu, Fang ; Li, Xin ; Yan, Qin
Author_Institution :
Sch. of Geodesy & Geomatics, Wuhan Univ., China
Abstract :
This paper gives an approach to integrate SVM with pyramid image and decision tree. Finally, the water boundary is modified in the snake method. Experiment results on aerial image show the feasibility of the proposed method.
Keywords :
decision trees; image segmentation; support vector machines; SVM; aerial images; decision tree; image segmentation; pyramid image; snake method; support vector machine; Decision trees; Geodesy; Hyperspectral imaging; Image classification; Image resolution; Image segmentation; Remote sensing; Support vector machine classification; Support vector machines; Text categorization;
Conference_Titel :
Machine Learning and Cybernetics, 2003 International Conference on
Print_ISBN :
0-7803-8131-9
DOI :
10.1109/ICMLC.2003.1259873
