The research of road extraction from high-resolution remote sensing image based on optimized watershed algorithm

DOI

10.2991/rsete.2013.53How to use a DOI?

Keywords

Road extraction, high-resolution remote sensing image, watershed, object-oriented method, mathematical morphology

Abstract

Recently the major methods of extracting road from remote sensing image are manually. It becomes a hotpot to realize automatic information extraction of road according to the feature of high-resolution image and the characteristics of road. In this paper, an improved approach for road extraction based on Watershed segmentation is proposed according to theories of object-oriented and mathematical morphology. The image is first processed by improved Watershed segmentation to acquire feature-units after preprocessing. Then object-oriented method is used to analyze road feature-units in order to optimize the road extraction results. Finally, after binary image processing, the incomplete results can be removed and corrected by using mathematical morphological transformation. At last this paper gives the result and analysis of the experiment sample.

Copyright

© 2013, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Cai Hongyue
AU  - Yao Guoqing
PY  - 2013/08
DA  - 2013/08
TI  - The research of road extraction from high-resolution remote sensing image based on optimized watershed algorithm
BT  - Proceedings of the 2013 the International Conference on Remote Sensing, Environment and Transportation Engineering (RSETE 2013)
PB  - Atlantis Press
SP  - 216
EP  - 219
SN  - 1951-6851
UR  - https://doi.org/10.2991/rsete.2013.53
DO  - 10.2991/rsete.2013.53
ID  - Hongyue2013/08
ER  -