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Semantic Alignment

  • H. B. Mitchell
Chapter

Introduction

The subject of this chapter is semantic alignment. This is the conversion of multiple input data or measurements which do not refer to the same object, or phenomena, to a common object or phenomena. The reason for performing semantic alignment is that different inputs can only be fused together if the inputs refer to the same object or phenomena. In general, if the observations have been made by sensors of the same type, then the observations should refer to the same object or phenomena. In this case, no semantic alignment is required, although radiometric normalization may be required.

Keywords

Cluster Algorithm Spectral Cluster Cluster Ensemble Identity Vector Spectral Cluster Algorithm 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  1. 1.Section 3424IAI Elta Electronics Ind. Ltd.AshdodIsrael

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