153
Views
22
CrossRef citations to date
0
Altmetric
Original Articles

Geometric Integration of Aerial and High-Resolution Satellite Imagery and Application in Shoreline Mapping

, , , , &
Pages 143-159 | Received 19 May 2008, Accepted 09 Jun 2008, Published online: 26 Aug 2008
 

Abstract

This paper investigates the geopositioning accuracy achievable from integrating IKONOS and QuickBird satellite stereo image pairs with aerial images acquired over a region at Tampa Bay, Florida. The results showed that the accuracy is related to a few factors of imaging geometry. For example, the geopositioning accuracy of a stereo pair of IKONOS or QuickBird images can be improved by integrating a set of aerial images, even just a single aerial image or a stereo pair of aerial images. Shorelines derived from the IKONOS and QuickBird stereo images, particularly the vertical positions, are compared with the corresponding observations of water-penetrating LiDAR and water gauge stations and proved that differences are within the limit of the geopositioning uncertainty of the satellite images.

Acknowledgements

The aerial images were provided by the Florida Department of Transportation. The water gauge station observations were provided by the National Oceanic and Atmospheric Administration. This research has been supported by the National Science Foundation and the National Geospatial-Intelligence Agency.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 61.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 312.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.