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}
}
  • Carl Sundelius
  • Published 2018
  • Computer Science
  • 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

    References

    SHOWING 1-10 OF 29 REFERENCES
    Deep Neural Networks for Semantic Segmentation of Multispectral Remote Sensing Imagery
    • 9
    • PDF
    SEMANTIC SEGMENTATION OF AERIAL IMAGES WITH AN ENSEMBLE OF CNNS
    • 136
    • PDF
    Fully Convolutional Networks for Dense Semantic Labelling of High-Resolution Aerial Imagery
    • 206
    • PDF
    Effective semantic pixel labelling with convolutional networks and Conditional Random Fields
    • 160
    • PDF
    Deep Deconvolutional Networks for Scene Parsing
    • R. Mohan
    • Computer Science, Mathematics
    • ArXiv
    • 2014
    • 85
    • PDF
    Rethinking Atrous Convolution for Semantic Image Segmentation
    • 2,136
    • PDF
    Improving Fully Convolution Network for Semantic Segmentation
    • 16
    • PDF
    Multimodal deep learning for robust RGB-D object recognition
    • 456
    • PDF
    Pyramid Scene Parsing Network
    • 3,406
    • PDF