• Corpus ID: 3270431

Deep Fusion of Imaging Modalities for Semantic Segmentation of Satellite Imagery

@inproceedings{Sundelius2018DeepFO,
  title={Deep Fusion of Imaging Modalities for Semantic Segmentation of Satellite Imagery},
  author={Carl Sundelius},
  year={2018}
}
In this report I summarize my master’s thesis work, in which I have investigated different approaches for fusing imaging modalities for semantic segmentation with deep convolutional networks. State ... 
1 Citations
Global Semantic Land Use/Land Cover Based on High Resolution Satellite Imagery Using Ensemble Networks
This paper describes an architecture for and the results of global Land Use/Land Cover semantic segmentation. It is based on Vricon 3D Surface Models and high resolution, better than 0.5m resolution,

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