A simple and efficient algorithm for the geometric correction of remotely sensed images (particularly that of NOAA AVHRR) by using Delaunay triangulation has been developed, described, and implemented. The method uses ground control points (GCPs) in the triangulation of the map. Analysis of the results of the experiment conducted by this study initially proved its superiority over the conventional least squares method. The advantages and drawbacks of the said method are pointed out and discussed, and recommendations are made to compensate the shortcomings of the method. Delaunay triangulation shows great potential as a geometric correction method of NOAA AVHRR and other types of remotely sensed imagery. Nevertheless, more research into this subject matter is needed to establish its flexibility to correct varied scenes (land mass, oceanic, etc.), and to merge with existing methods for best results.

Date Published: 17 August 1994
PDF: 4 pages
Proc. SPIE 2357, ISPRS Commission III Symposium: Spatial Information from Digital Photogrammetry and Computer Vision, (17 August 1994); doi: 10.1117/12.182885

Published in SPIE Proceedings Vol. 2357:
ISPRS Commission III Symposium: Spatial Information from Digital Photogrammetry and Computer Vision
Heinrich Ebner; Christian Heipke; Konrad Eder, Editor(s)