Urban Change Detection for Multispectral Earth Observation Using Convolutional Neural Networks

@article{Daudt2018UrbanCD,
  title={Urban Change Detection for Multispectral Earth Observation Using Convolutional Neural Networks},
  author={Rodrigo Caye Daudt and Bertrand Le Saux and Alexandre Boulch and Yann Gousseau},
  journal={IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium},
  year={2018},
  pages={2115-2118}
}
  • Rodrigo Caye Daudt, Bertrand Le Saux, +1 author Yann Gousseau
  • Published 2018
  • Computer Science
  • IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium
  • The Copernicus Sentinel-2 program now provides multispectral images at a global scale with a high revisit rate. In this paper we explore the usage of convolutional neural networks for urban change detection using such multispectral images. We first present the new change detection dataset that was used for training the proposed networks, which will be openly available to serve as a benchmark. The Onera Satellite Change Detection (OSCD) dataset is composed of pairs of multispectral aerial images… CONTINUE READING

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