Title :
Road extraction in high resolution images from Google Earth
Author :
Xu, Gang ; Zhang, Dawei ; Liu, Xinyu
Author_Institution :
Dept. of Electr. & Electron., North China Electr. Power Univ., Beijing, China
Abstract :
Nowadays, Google Earth is very popular in the world. Lots of people are interested in this software. The purpose of this paper is to explore the method of road extraction in high resolution urban images from Google Earth. There are several basic characteristics of roads, if more characteristics are used for the road extraction, good results can be achieved. In this paper, watershed dual-thresholds algorithm is used to obtain the initial outline of roads, multi-weighted method is used to get the exact edge of roads, morphology is used to eliminate noise and thin lines, and shape index is used to delete non-road areas at last. At the end of the paper, two different types of road of experiments are to be done. And in accordance with the outcome of experiments, the algorithm proposed in this paper has a high precision and a good robustness in the various types of urban road extraction.
Keywords :
feature extraction; geographic information systems; image resolution; mathematical morphology; roads; Google Earth; high resolution urban images; multiweighted method; road extraction; watershed dual-thresholds algorithm; Cities and towns; Communication standards; Concrete; Earth; Image resolution; Morphology; Power engineering and energy; Remote sensing; Road transportation; Satellites; high resolution image; mathematical morphology; multi-weighted method; road extraction; watershed algorithm;
Conference_Titel :
Information, Communications and Signal Processing, 2009. ICICS 2009. 7th International Conference on
Conference_Location :
Macau
Print_ISBN :
978-1-4244-4656-8
Electronic_ISBN :
978-1-4244-4657-5
DOI :
10.1109/ICICS.2009.5397470
