Automatic road extraction from high resolution remote sensing image by means of topological derivative and mathematical morphology

Hongyu Zhou; Xu Song; Guoying Liu

doi:10.1117/12.2282998

8 March 2018 Automatic road extraction from high resolution remote sensing image by means of topological derivative and mathematical morphology

Hongyu Zhou, Xu Song, Guoying Liu

Author Affiliations +

Proceedings Volume 10611, MIPPR 2017: Remote Sensing Image Processing, Geographic Information Systems, and Other Applications; 1061104 (2018) https://doi.org/10.1117/12.2282998
Event: Tenth International Symposium on Multispectral Image Processing and Pattern Recognition (MIPPR2017), 2017, Xiangyang, China

Abstract

Automatic road extraction from High Resolution Remote Sensing Image is a challenging problem. In this paper we present a new approach for road automatically extraction which is based on topological derivative and mathematical morphology. This approach for road extraction can be divided into three main steps: using topological derivative for image segmentation, using mathematical morphology for road network identification and filtering. The experimental results show that this approach can effectively extract roads from high-resolution remote sensing image.

Citation Download Citation

Hongyu Zhou, Hongyu Zhou, Xu Song, Xu Song, Guoying Liu, Guoying Liu, } "Automatic road extraction from high resolution remote sensing image by means of topological derivative and mathematical morphology", Proc. SPIE 10611, MIPPR 2017: Remote Sensing Image Processing, Geographic Information Systems, and Other Applications, 1061104 (8 March 2018); doi: 10.1117/12.2282998; https://doi.org/10.1117/12.2282998

ACCESS THE FULL ARTICLE

PERSONAL SIGN IN
Full access may be available with your subscription

Email or Username Forgot your username?

Password Forgot your password?

Show

Remember Email/Username on this computer

Remember Password

No SPIE account? Create an account
or Institutional Sign In via Shibboleth

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

Members: $14.40

Non-members: $18.00 ADD TO CART

Show All Keywords

Keywords/Phrases

Search In:

Publication Years