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Research

Results for VFSR remotely sensed imagery

Publications & Outputs

  1. Joint Deep Learning for land cover and land use classification

    Zhang, C., Sargent, I., Pan, X., Li, H., Gardiner, A., Hare, J. & Atkinson, P. M., 02/2019, In: Remote Sensing of Environment. 221, p. 173-187 15 p.

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

  2. An object-based convolutional neural network (OCNN) for urban land use classification

    Zhang, C., Sargent, I., Pan, X., Li, H., Gardiner, A., Hare, J. & Atkinson, P. M., 10/2018, In: Remote Sensing of Environment. 216, p. 57-70 14 p.

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

  3. A hybrid MLP-CNN classifier for very fine resolution remotely sensed image classification

    Zhang, C., Pan, X., Li, H., Gardiner, A., Sargent, I., Hare, J. & Atkinson, P. M., 06/2018, In: ISPRS Journal of Photogrammetry and Remote Sensing. 140, p. 133-144 12 p.

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