Terrain reconstruction from widely separated images

Howard J. Schultz

doi:10.1117/12.213111

5 July 1995 Terrain reconstruction from widely separated images

Howard J. Schultz

Proceedings Volume 2486, Integrating Photogrammetric Techniques with Scene Analysis and Machine Vision II; (1995) https://doi.org/10.1117/12.213111
Event: SPIE's 1995 Symposium on OE/Aerospace Sensing and Dual Use Photonics, 1995, Orlando, FL, United States

Abstract

When a terrain elevation map is computed from widely separated images the perspective distortion may result in a large number of false matches and poor reconstruction accuracy. This paper describes three image matching algorithms designed specifically to process images taken with large base-to-height ratios. They include a new match score, a subpixel interpolation scheme, and a multi-resolution unwarping technique. The algorithms are incorporated into a stereo analysis package and the system is tested by processing a single pair of high altitude images with a base-to-height ratio of 0.63 and a sequence of simulated images with base-to-height ratios that varied between 0.25 and 2.25. Analysis of the simulated data show that when these techniques are implemented the reconstruction accuracy remains independent of the base-to-height ratio.

Citation Download Citation

Howard J. Schultz "Terrain reconstruction from widely separated images", Proc. SPIE 2486, Integrating Photogrammetric Techniques with Scene Analysis and Machine Vision II, (5 July 1995); https://doi.org/10.1117/12.213111

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