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Removing shadows from Google Earth images.

Authors :
Guo, Jianhong
Liang, Lu
Gong, Peng
Source :
International Journal of Remote Sensing. Mar2010, Vol. 31 Issue 6, p1379-1389. 11p. 2 Color Photographs, 1 Diagram, 2 Charts.
Publication Year :
2010

Abstract

Google Earth uses aerial and satellite images from various sources as its background. It is designed to enable every person who owns a computer to easily 'fly' to aerial views of any location on the planet. However, just as with ordinary aerial or satellite images, there inevitably exist shadows in Google Earth images, making some ground objects obscured, even unidentifiable. In this paper, we describe a model we have developed for image shadow removal that uses radiative transfer theory in combination with prior knowledge to compensate for the lost information over shadow areas. We arbitrarily selected six images with severe shadows from Beijing, Shanghai, Hong Kong, Tokyo, New York and San Francisco, respectively, for algorithm testing. Our experimental results show that shadows in images can be considerably suppressed. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
01431161
Volume :
31
Issue :
6
Database :
Academic Search Index
Journal :
International Journal of Remote Sensing
Publication Type :
Academic Journal
Accession number :
49143239
Full Text :
https://doi.org/10.1080/01431160903475316