Effect of image resolution on extraction of road features

Pao Yue-kong Library Electronic Theses Database

Effect of image resolution on extraction of road features

 

Author: Chen, Bin
Title: Effect of image resolution on extraction of road features
Degree: M.Sc.
Year: 2009
Subject: Hong Kong Polytechnic University -- Dissertations.
Cartography -- Remote sensing.
Roads -- Location -- Remote sensing.
Imaging systems -- Image quality.
Department: Dept. of Land Surveying and Geo-Informatics
Pages: x, 74 leaves : ill. ; 30 cm.
Language: English
InnoPac Record: http://library.polyu.edu.hk/record=b2315421
URI: http://theses.lib.polyu.edu.hk/handle/200/4564
Abstract: Road extraction from satellite images is an important means for updating of road map database. In the extraction of road features, two important issues need to be considered, i.e. efficiency and correctness. They are affected by many factors such as hardware, software and data source. Image resolution is one of the factors within the domain of data source. That is, a road may have quite different appearance on images with different resolutions. Therefore, it is quite understandable that different results will be obtained from images with different resolution. This project aims to investigate the effect of image resolutions on the extraction of road features. More precisely, images with different resolutions will be used to obtain information of roads in different natures. Then a set of measures (or indicators) are developed to measure the correctness of the road information. Images with four resolutions, 0.6m, 2.4m, 5m, and 10m, from two platforms (i.e. QuickBird and SPOT5) are used as source data. Both "edge detection" and "unsupervised classification" are employed to extract road boundary and road surface from these images. From the analysis of the results, it can be found that (a) a single road (central line) can be extracted if the image resolution is half of the road width, and (b) if the resolution is much higher than that value, road boundaries and other features may then be extracted. Therefore, it is not an advantage to simply purchase the high resolution satellite images. Indeed, it is advisable to select images with appropriate resolution for a particular project (i.e. road with different types).

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