Geometric correction of NOAA images by triangulation

Tsukasa Hosomura

doi:10.1117/12.182885

17 August 1994 Geometric correction of NOAA images by triangulation

Tsukasa Hosomura

Proceedings Volume 2357, ISPRS Commission III Symposium: Spatial Information from Digital Photogrammetry and Computer Vision; (1994) https://doi.org/10.1117/12.182885
Event: Spatial Information from Digital Photogrammetry and Computer Vision: ISPRS Commission III Symposium, 1994, Munich, Germany

Abstract

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.

Citation Download Citation

Tsukasa Hosomura "Geometric correction of NOAA images by triangulation", Proc. SPIE 2357, ISPRS Commission III Symposium: Spatial Information from Digital Photogrammetry and Computer Vision, (17 August 1994); https://doi.org/10.1117/12.182885

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