A Convolutional Neural Network with Parallel Multi-Scale Spatial Pooling to Detect Temporal Changes in SAR Images

@article{Chen2020ACN,
  title={A Convolutional Neural Network with Parallel Multi-Scale Spatial Pooling to Detect Temporal Changes in SAR Images},
  author={J. Chen and Rongfang Wang and Fan Ding and B. Liu and Licheng Jiao and J. Zhang},
  journal={Remote. Sens.},
  year={2020},
  volume={12},
  pages={1619}
}
  • J. Chen, Rongfang Wang, +3 authors J. Zhang
  • Published 2020
  • Computer Science, Engineering, Geology
  • Remote. Sens.
  • In synthetic aperture radar (SAR) image change detection, it is quite challenging to exploit the changing information from the noisy difference image subject to the speckle. In this paper, we propose a multi-scale spatial pooling (MSSP) network to exploit the changed information from the noisy difference image. Being different from the traditional convolutional network with only mono-scale pooling kernels, in the proposed method, multi-scale pooling kernels are equipped in a convolutional… CONTINUE READING

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