Roads are significant objects of an infrastructure and the extraction of roads from
aerial and satellite images are important for different applications such as automated
map generation and change detection. Roads are also important to detect other
structures such as buildings and urban areas.
In this thesis, the road extraction approach is based on Active Contour Models for 1-
meter resolution gray level images. Active Contour Models contains Snake
Approach. During applications, the road structure was separated as salient-roads,
non-salient roads and crossings and extraction of these is provided by using Ribbon
Snake and Ziplock Snake methods. These methods are derived from traditional snake
model.
Finally, various experimental results were presented. Ribbon and Ziplock Snake
methods were compared for both salient and non-salient roads. Also these methods
were used to extract roads in an image. While Ribbon snake is described for
extraction of salient roads in an image, Ziplock snake is applied for extraction of
non-salient roads. Beside these, some constant variables in literature were redefined
and expressed in a formula as depending on snake approach and a new approach for
extraction of crossroads were described and tried.
| Identifer | oai:union.ndltd.org:METU/oai:etd.lib.metu.edu.tr:http://etd.lib.metu.edu.tr/upload/3/12610655/index.pdf |
| Date | 01 June 2009 |
| Creators | Ozkaya, Meral |
| Contributors | Temizel, Alptekin |
| Publisher | METU |
| Source Sets | Middle East Technical Univ. |
| Language | English |
| Detected Language | English |
| Type | M.S. Thesis |
| Format | text/pdf |
| Rights | To liberate the content for public access |
Page generated in 0.0022 seconds