Matching aerial images to 3-D terrain maps

Jeffrey J Rodriguez, J. K. Aggarwal

Research output: Contribution to journalArticle

67 Citations (Scopus)

Abstract

A terrain-matching algorithm is presented for use in a passive aircraft navigation system. A sequence of aerial images is matched to a reference digital map of the 3-D terrain. Stereo analysis of successive images results in a recovered elevation map. A cliff map is then used as a novel compact representation of the 3-D surfaces. The position and heading of the aircraft are determined with a terrain-matching algorithm that locates the unknown cliff map within the reference cliff map. The robustness of the matching algorithm is demonstrated by experimental results using real terrain data.

Original languageEnglish (US)
Pages (from-to)1138-1149
Number of pages12
JournalIEEE Transactions on Pattern Analysis and Machine Intelligence
Volume12
Issue number12
DOIs
StatePublished - Dec 1990
Externally publishedYes

Fingerprint

Aerial Image
3D
Antennas
Matching Algorithm
Aircraft
Navigation System
Navigation systems
Robustness
Unknown
Experimental Results

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Vision and Pattern Recognition
  • Control and Systems Engineering
  • Electrical and Electronic Engineering

Cite this

Matching aerial images to 3-D terrain maps. / Rodriguez, Jeffrey J; Aggarwal, J. K.

In: IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 12, No. 12, 12.1990, p. 1138-1149.

Research output: Contribution to journalArticle

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