Segmentation design for an automatic multisource registration

Renaud Ruskone; Ian J. Dowman

doi:10.1117/12.281055

5 August 1997 Segmentation design for an automatic multisource registration

Renaud Ruskone, Ian J. Dowman

Proceedings Volume 3072, Integrating Photogrammetric Techniques with Scene Analysis and Machine Vision III; (1997) https://doi.org/10.1117/12.281055
Event: AeroSense '97, 1997, Orlando, FL, United States

Abstract

This paper deals with the description of the early phases of an automatic multisource registration method. This method is a part of a more general project that aims to register several data sources and detect the changes. We describe more specifically the requirements in terms of input data, the segmentation method used and the preprocessing useful to adapt the feature extraction to different data sources. The segmentation is a classic region growing method that relies on a threshold taking into account the radiometric properties of each region. After the coarse definition of the segments, an iterative process comes into play to merge them according to similarity measures.

Citation Download Citation

Renaud Ruskone and Ian J. Dowman "Segmentation design for an automatic multisource registration", Proc. SPIE 3072, Integrating Photogrammetric Techniques with Scene Analysis and Machine Vision III, (5 August 1997); https://doi.org/10.1117/12.281055

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