Support vector machine experiments for road recognition in high resolution images

Authors:
J. Y. Lai;A. Sowmya;J. Trinder
Affiliations:
School of Computer Science and Engineering;School of Computer Science and Engineering;School of Surveying and Spatial Information Systems, University of New South Wales, Sydney, NSW, Australia
Venue:
MLDM'05 Proceedings of the 4th international conference on Machine Learning and Data Mining in Pattern Recognition
Year:
2005

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Abstract

Support Vector Machines have received considerable attention from the pattern recognition community in recent years. They have been applied to various classical recognition problems achieving comparable or even superior results to classifiers such as neural networks. We investigate the application of Support Vector Machines (SVMs) to the problem of road recognition from remotely sensed images using edge-based features. We present very encouraging results from our experiments, which are comparable to decision tree and neural network classifiers.