This paper presents a method to build fine resolution digital terrain maps, on the basis of a set of low altitude aerial stereovision images. Stereovision images are the only data available: to build a global map, we introduce an algorithm that uses interest point matches between successive images to estimate their relative position. Experimental results are presented and discussed, they show how one can build thousand square meters fine resolution maps, integrating hundreds of stereovision images acquired by a tethered blimp. © 2002 Elsevier Science B.V. All rights reserved.
CITATION STYLE
Lacroix, S., Jung, I. K., & Mallet, A. (2002). Digital elevation map building from low altitude stereo imagery. In Robotics and Autonomous Systems (Vol. 41, pp. 119–127). https://doi.org/10.1016/S0921-8890(02)00275-0
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