Rational Functions and Potential for Rigorous Sensor Model Recovery

Rational functions (RFs) have been applied in photogrammetry and remote sensing to represent the transformation between the image space and object space whenever the rigorous model is made unavailable intentionally or unintentionally. It attracts more attention now because Ikonos high-resolution ima...

Full description

Saved in:
Bibliographic Details
Published in:Photogrammetric engineering and remote sensing 2003-01, Vol.69 (1), p.33-41
Main Authors: Kaichang, Di, Ruijin, Ma, Rong Xing, Li
Format: Article
Language:English
Subjects:
Applied geophysics
Earth sciences
Earth, ocean, space
Exact sciences and technology
Internal geophysics
Citations: Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Rational functions (RFs) have been applied in photogrammetry and remote sensing to represent the transformation between the image space and object space whenever the rigorous model is made unavailable intentionally or unintentionally. It attracts more attention now because Ikonos high-resolution images are being released to users with only RF coefficients. This paper briefly introduces the RF for photogrammetric processing. Equations of space intersection with upward RF are derived. The computational experimental result with one-meter resolution Ikonos Geo stereo images and other airborne data verified the accuracy of the upward RF-based space intersection. We demonstrated different ways to improve the geopositioning accuracy of Ikonos Geo stereo imagery with ground control points by either refining the vendor-provided Ikonos RF coefficients or refining the RF-derived ground coordinates. The accuracy of 3D ground point determination was improved to 1 to 2 meters after the refinement. Finally, we showed the potential for recovering sensor models of a frame image and a linear array image from the RF.
ISSN:0099-1112
2374-8079
DOI:10.14358/PERS.69.1.33