Terrain Matching by Analysis of Aerial Images

Abstract

A terrain matching algorithm has been developed for use in a passive aircraft navigation system. A sequence of aerial, optical images is matched to a reference digital map of the three-dimensional terrain. Stereo analysis of successive images results in the recovery of an elevation map of the observed terrain. A 'cliff map' is then used as a novel, compact representation of the terrain surface. The position and heading of the aircraft are determined via a terrain matching algorithm that locates the observed cliff map within the reference cliff map. Novel results using real terrain data and on implementation of a real stereo algorithm provide an important extension to previous results using simulated stereo.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">&gt;</ETX>

Cite

Text

Rodríguez and Aggarwal. "Terrain Matching by Analysis of Aerial Images." IEEE/CVF International Conference on Computer Vision, 1990. doi:10.1109/ICCV.1990.139617

Markdown

[Rodríguez and Aggarwal. "Terrain Matching by Analysis of Aerial Images." IEEE/CVF International Conference on Computer Vision, 1990.](https://mlanthology.org/iccv/1990/rodriguez1990iccv-terrain/) doi:10.1109/ICCV.1990.139617

BibTeX

@inproceedings{rodriguez1990iccv-terrain,
  title     = {{Terrain Matching by Analysis of Aerial Images}},
  author    = {Rodríguez, Jeffrey J. and Aggarwal, Jake K.},
  booktitle = {IEEE/CVF International Conference on Computer Vision},
  year      = {1990},
  pages     = {677-681},
  doi       = {10.1109/ICCV.1990.139617},
  url       = {https://mlanthology.org/iccv/1990/rodriguez1990iccv-terrain/}
}