Share Email Print
cover

Proceedings Paper

Aerial video georegistration using terrain models from dense and coherent stereo matching
Author(s): Susana Ruano; Guillermo Gallego; Carlos Cuevas; Narciso García
Format Member Price Non-Member Price
PDF $14.40 $18.00

Paper Abstract

In the context of aerial imagery, one of the first steps toward a coherent processing of the information contained in multiple images is geo-registration, which consists in assigning geographic 3D coordinates to the pixels of the image. This enables accurate alignment and geo-positioning of multiple images, detection of moving objects and fusion of data acquired from multiple sensors. To solve this problem there are different approaches that require, in addition to a precise characterization of the camera sensor, high resolution referenced images or terrain elevation models, which are usually not publicly available or out of date. Building upon the idea of developing technology that does not need a reference terrain elevation model, we propose a geo-registration technique that applies variational methods to obtain a dense and coherent surface elevation model that is used to replace the reference model. The surface elevation model is built by interpolation of scattered 3D points, which are obtained in a two-step process following a classical stereo pipeline: first, coherent disparity maps between image pairs of a video sequence are estimated and then image point correspondences are back-projected. The proposed variational method enforces continuity of the disparity map not only along epipolar lines (as done by previous geo-registration techniques} but also across them, in the full2D image domain. In the experiments, aerial images from synthetic video sequences have been used to validate the proposed technique.

Paper Details

Date Published: 19 June 2014
PDF: 10 pages
Proc. SPIE 9089, Geospatial InfoFusion and Video Analytics IV; and Motion Imagery for ISR and Situational Awareness II, 90890V (19 June 2014); doi: 10.1117/12.2053034
Show Author Affiliations
Susana Ruano, Univ. Politécnica de Madrid (Spain)
Guillermo Gallego, Univ. Politécnica de Madrid (Spain)
Carlos Cuevas, Univ. Politécnica de Madrid (Spain)
Narciso García, Univ. Politécnica de Madrid (Spain)


Published in SPIE Proceedings Vol. 9089:
Geospatial InfoFusion and Video Analytics IV; and Motion Imagery for ISR and Situational Awareness II
Matthew F. Pellechia; Kannappan Palaniappan; Shiloh L. Dockstader; Paul B. Deignan; Peter J. Doucette; Donnie Self, Editor(s)

© SPIE. Terms of Use
Back to Top