Paper
20 August 2010 Comparative experiments of road extraction from Google Earth imagery, QuickBird imagery, and IKONOS imagery
Biao Tong, Wenbo Wu, Cancan Jia
Author Affiliations +
Proceedings Volume 7820, International Conference on Image Processing and Pattern Recognition in Industrial Engineering; 782036 (2010) https://doi.org/10.1117/12.866229
Event: International Conference on Image Processing and Pattern Recognition in Industrial Engineering, 2010, Xi'an, China
Abstract
Main roads were detected using object-oriented method from Google Earth imagery, compared with QuickBird image of the same region and the same capture time and IKONOS image of the same region. All images extract roughly the same region of main road, and also similar image segmentation parameters and establishment of the classification rule sets. Experimental results show that using Google Earth images to extract road could meet applications of less precision demanding.
© (2010) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Biao Tong, Wenbo Wu, and Cancan Jia "Comparative experiments of road extraction from Google Earth imagery, QuickBird imagery, and IKONOS imagery", Proc. SPIE 7820, International Conference on Image Processing and Pattern Recognition in Industrial Engineering, 782036 (20 August 2010); https://doi.org/10.1117/12.866229
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KEYWORDS
Roads

Image segmentation

Earth observing sensors

Image compression

High resolution satellite images

Image analysis

Image classification

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