Semantic Classification in Aerial Imagery by Integrating Appearance and Height Information

  title={Semantic Classification in Aerial Imagery by Integrating Appearance and Height Information},
  author={Stefan Kluckner and Thomas Mauthner and Peter M. Roth and Horst Bischof},
In this paper we present an efficient technique to obtain accurate semantic classification on the pixel level capable of integrating various modalities, such as color, edge responses, and height information. We propose a novel feature representation based on Sigma Points computations that enables a simple application of powerful covariance descriptors to a multi-class randomized forest framework. Additionally, we include semantic contextual knowledge using a conditional random field formulation… CONTINUE READING
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A metric for covariance matrices

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