Change Detection Based on Deep Siamese Convolutional Network for Optical Aerial Images

@article{Zhan2017ChangeDB,
  title={Change Detection Based on Deep Siamese Convolutional Network for Optical Aerial Images},
  author={Yang Zhan and Kun Fu and Menglong Yan and Xian Sun and Hongqi Wang and Xiaosong Qiu},
  journal={IEEE Geoscience and Remote Sensing Letters},
  year={2017},
  volume={14},
  pages={1845-1849}
}
In this letter, we propose a novel supervised change detection method based on a deep siamese convolutional network for optical aerial images. We train a siamese convolutional network using the weighted contrastive loss. The novelty of the method is that the siamese network is learned to extract features directly from the image pairs. Compared with hand-crafted features used by the conventional change detection method, the extracted features are more abstract and robust. Furthermore, because of… CONTINUE READING
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