Effect of the sampling design of ground control points on the geometric correction of remotely sensed imagery

J. Wang, Y. Ge, G.B.M. Heuvelink, C. Zhou, D.J. Brus

Research output: Contribution to journalArticleAcademicpeer-review

48 Citations (Scopus)

Abstract

The acquirement of ground control points (GCPs) is a basic and important step in the geometric correction of remotely sensed imagery. In particular, the spatial distribution of GCPs may affect the accuracy and quality of image correction. In this paper, both a simulation experiment and actual-image analyses are carried out to investigate the effect of the sampling design for selecting GCPs on the geometric correction of remotely sensed imagery. Sampling designs compared are simple random sampling, spatial coverage sampling, and universal kriging model-based sampling. The experiments indicate that the sampling design of GCPs strongly affects the accuracy of the geometric correction. The universal kriging model-based sampling design considers the spatial autocovariance of regression residuals and yields the most accurate correction. This method is highly recommended as a new GCPs sampling design method for geometric correction of remotely sensed imagery.
Original languageEnglish
Pages (from-to)91-100
JournalInternational Journal of applied Earth Observation and Geoinformation
Volume18
DOIs
Publication statusPublished - 2012

Keywords

  • resolution satellite imagery
  • accuracy
  • registration
  • algorithm
  • model

Fingerprint Dive into the research topics of 'Effect of the sampling design of ground control points on the geometric correction of remotely sensed imagery'. Together they form a unique fingerprint.

Cite this