• Corpus ID: 237372156

An Integrated Framework for the Heterogeneous Spatio-Spectral-Temporal Fusion of Remote Sensing Images

@article{Jiang2021AnIF,
  title={An Integrated Framework for the Heterogeneous Spatio-Spectral-Temporal Fusion of Remote Sensing Images},
  author={Menghui Jiang and Huanfeng Shen and Jie Li and Liang-pei Zhang},
  journal={ArXiv},
  year={2021},
  volume={abs/2109.00400}
}
  • Menghui Jiang, Huanfeng Shen, +1 author Liang-pei Zhang
  • Published 1 September 2021
  • Computer Science, Engineering
  • ArXiv
Image fusion technology is widely used to fuse the complementary information between multi-source remote sensing images. Inspired by the frontier of deep learning, this paper first proposes a heterogeneous-integrated framework based on a novel deep residual cycle GAN. The proposed network consists of a forward fusion part and a backward degeneration feedback part. The forward part generates the desired fusion result from the various observations; the backward degeneration feedback part… 

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