Method for automatic georeferencing aerial remote sensing (RS) images from an unmanned aerial vehicle (UAV) platform

Haitao Xiang, Lei Tian

Research output: Contribution to journalArticle

Abstract

Before an aerial image can be used to support a site-specific application it is essential to perform the geometric corrections and geocoding. This research discusses the development of an automatic aerial image georeferencing method for an unmanned aerial vehicle (UAV) image data acquisition platform that does not require use of ground control points (GCP). An onboard navigation system is capable of providing continuous estimates of the position and attitude of the UAV. Based on a navigation data and a camera lens distortion model, the image collected by an onboard multispectral camera can be automatically georeferenced. When compared with 16 presurveyed ground reference points, image automatic georeferenced results indicated that position errors were less than 90. cm. A large field mosaic image can be generated according to the individual image georeferenced information. A 56.9. cm mosaic error was achieved. This accuracy is considered sufficient for most of the intended precision agriculture applications.

Original languageEnglish (US)
Pages (from-to)104-113
Number of pages10
JournalBiosystems Engineering
Volume108
Issue number2
DOIs
StatePublished - Feb 1 2011

    Fingerprint

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Food Science
  • Animal Science and Zoology
  • Agronomy and Crop Science
  • Soil Science

Cite this