JOURNAL ARTICLE

Comparative experiments of road extraction from Google Earth imagery, QuickBird imagery, and IKONOS imagery

Biao TongWenbo WuCancan Jia

Year: 2010 Journal:   Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE Vol: 7820 Pages: 782036-782036   Publisher: SPIE

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.

Keywords:
Remote sensing Computer science Satellite imagery Computer vision Image segmentation Artificial intelligence Segmentation Feature extraction Extraction (chemistry) Geology

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2
Cited By
0.00
FWCI (Field Weighted Citation Impact)
3
Refs
0.13
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Automated Road and Building Extraction
Physical Sciences →  Engineering →  Ocean Engineering
Remote Sensing and Land Use
Physical Sciences →  Earth and Planetary Sciences →  Atmospheric Science

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