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Proceedings Paper

Removing shadows from Google Earth satellite images
Author(s): Jianhong Guo; Peng Gong; Lu Liang
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Paper Abstract

June 2005, Google has released its geographic search tool "Google earth", a new application that combines local search with satellite images and maps from around the globe. It is designed to make every person owned a computer easily "fly" to aerial views of many locations on the planet. However, just as ordinary satellite images, there inevitably exist shadows in it, made some ground objects obscure, even unidentifiable. According to the basic thinking of Radiative Transfer Theory, this paper built a image shadow removal model, which using the Radiative Transfer Theory combined with preknowledge to compensate the lost shadow area information. The results shows: shadows in images were successfully removed and the target objects were returned to their original scenes.

Paper Details

Date Published: 8 August 2007
PDF: 12 pages
Proc. SPIE 6752, Geoinformatics 2007: Remotely Sensed Data and Information, 675202 (8 August 2007); doi: 10.1117/12.760102
Show Author Affiliations
Jianhong Guo, Institute of Remote Sensing Applications (China)
Peng Gong, Institute of Remote Sensing Applications (China)
Lu Liang, Institute of Remote Sensing Applications (China)

Published in SPIE Proceedings Vol. 6752:
Geoinformatics 2007: Remotely Sensed Data and Information
Weimin Ju; Shuhe Zhao, Editor(s)

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