A Convolutional Neural Network for Automatic Analysis of Aerial Imagery

@article{Maire2014ACN,
  title={A Convolutional Neural Network for Automatic Analysis of Aerial Imagery},
  author={Fr{\'e}d{\'e}ric Maire and Luis Mej{\'i}as Alvarez and Amanda Hodgson},
  journal={2014 International Conference on Digital Image Computing: Techniques and Applications (DICTA)},
  year={2014},
  pages={1-8}
}
This paper introduces a new method to automate the detection of marine species in aerial imagery using a Machine Learning approach. Our proposed system has at its core, a convolutional neural network. We compare this trainable classifier to a handcrafted classifier based on color features, entropy and shape analysis. Experiments demonstrate that the convolutional neural network outperforms the handcrafted solution. We also introduce a negative training example-selection method for situations… CONTINUE READING

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