An automatic road segmentation algorithm using one-class SVM

Sheng Zheng; Jian Liu; Wenzhong Shi; Guangxi Zhu

doi:10.1117/12.713162

28 October 2006 An automatic road segmentation algorithm using one-class SVM

Sheng Zheng, Jian Liu, Wenzhong Shi, Guangxi Zhu

Proceedings Volume 6419, Geoinformatics 2006: Remotely Sensed Data and Information; 64191B (2006) https://doi.org/10.1117/12.713162
Event: Geoinformatics 2006: GNSS and Integrated Geospatial Applications, 2006, Wuhan, China

Abstract

Automatic feature extraction for road information plays a central role in applications related to terrains. In this paper, we propose a new road extraction method using the one-class support vector machine (SVM). For a manually segmented seed road region, only a part of pixels are really road, some pixels locating on the sideway, shadows of the building, and the cars etc., are not really road pixels. The one-class SVM is used to estimate a decision function that takes the value +1 in a small feature region capturing most of the data points in the seed road area, and -1 elsewhere. Since the road pixels in the satellite image have the similar properties, such as the spectral feature in multi-spectral image, the novelty pixel is discriminated by the estimated decision function for road segmentation. Many computation experiments are undertaken on the IKONOS high resolution image. The results demonstrate that the proposed method is effective and has much higher computation efficiency than the standard pixel-based SVM classification method.

Citation Download Citation

Sheng Zheng, Jian Liu, Wenzhong Shi, and Guangxi Zhu "An automatic road segmentation algorithm using one-class SVM", Proc. SPIE 6419, Geoinformatics 2006: Remotely Sensed Data and Information, 64191B (28 October 2006); https://doi.org/10.1117/12.713162

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available