Modified Automatic Extraction of Roads from High
Resolution Images
Journal:
GRENZE International Journal of Computer Theory and Engineering
Authors:
Abhay K Kolhe, Archana Bhise
Volume:
1
Issue:
1
Grenze ID:
01.GIJCTE.1.1.17
Pages:
1-7
Abstract
Automated road extraction is an important area of road database creation,
refinement and updation. However, the differentiation of road objects for a satellite image is
a critical issue. Road extraction from the satellite imagery is classified as semi-automated
and fully automated process. Semi-automated extraction requires some human input
whereas; the automated extraction process requires no human input. A multistep approach
for automatic road extraction is proposed in this paper. Proposed algorithm is implemented
for different high resolution images. Experimental results show that the algorithm extracts
the main roads from satellite images with about 91% accuracy. However, it is less accurate
to detect secondary roads like lanes and by-lanes.