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Conference Paper: Removing shadows from Google Earth satellite images

TitleRemoving shadows from Google Earth satellite images
Authors
KeywordsSatellite image
Google earth
Shadow removing
Issue Date2007
Citation
Proceedings of SPIE - The International Society for Optical Engineering, 2007, v. 6752, n. PART 1, article no. 675202 How to Cite?
AbstractJune 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.
Persistent Identifierhttp://hdl.handle.net/10722/296613
ISSN
2020 SCImago Journal Rankings: 0.192

 

DC FieldValueLanguage
dc.contributor.authorGuo, Jianhong-
dc.contributor.authorGong, Peng-
dc.contributor.authorLiang, Lu-
dc.date.accessioned2021-02-25T15:16:16Z-
dc.date.available2021-02-25T15:16:16Z-
dc.date.issued2007-
dc.identifier.citationProceedings of SPIE - The International Society for Optical Engineering, 2007, v. 6752, n. PART 1, article no. 675202-
dc.identifier.issn0277-786X-
dc.identifier.urihttp://hdl.handle.net/10722/296613-
dc.description.abstractJune 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.-
dc.languageeng-
dc.relation.ispartofProceedings of SPIE - The International Society for Optical Engineering-
dc.subjectSatellite image-
dc.subjectGoogle earth-
dc.subjectShadow removing-
dc.titleRemoving shadows from Google Earth satellite images-
dc.typeConference_Paper-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1117/12.760102-
dc.identifier.scopuseid_2-s2.0-36349001149-
dc.identifier.volume6752-
dc.identifier.issuePART 1-
dc.identifier.spagearticle no. 675202-
dc.identifier.epagearticle no. 675202-
dc.identifier.issnl0277-786X-

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