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Research

Results for multi-scale deep learning

Publications & Outputs

  1. A Scale Sequence Object-based Convolutional Neural Network (SS-OCNN) for crop classification from fine spatial resolution remotely sensed imagery

    Li, H., Zhang, C., Zhang, Y., Zhang, S., Ding, X. & Atkinson, P., 30/11/2021, In: International Journal of Digital Earth. 14, 11, p. 1528-1546 19 p.

    Research output: Contribution to Journal/Magazine › Journal article › peer-review

  2. Scale Sequence Joint Deep Learning (SS-JDL) for land use and land cover classification

    Zhang, C., Harrison, P., Pan, X., Li, H., Sargent, I. & Atkinson, P., 28/02/2020, In: Remote Sensing of Environment. 237, 16 p., 111593.

    Research output: Contribution to Journal/Magazine › Journal article › peer-review