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Research

Professor Peter Atkinson

Distinguished Professor, Executive Dean, Faculty Dean

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  1. Published

    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

  2. Published

    Updating Landsat-based forest cover maps with MODIS images using multiscale spectral-spatial-temporal superresolution mapping

    Zhang, Y., Li, X., Ling, F., Atkinson, P. M., Ge, Y., Shi, L. & Du, Y., 12/2017, In: International Journal of Applied Earth Observation and Geoinformation. 63, p. 129-142 14 p.

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

  3. Published

    A rough set decision tree based MLP-CNN for very high resolution remotely sensed image classification

    Zhang, C., Pan, X., Zhang, S., Li, H. & Atkinson, P. M., 22/09/2017, In: International Archives of the Photogrammetry Remote Sensing and Spatial Information Sciences. p. 1451-1454 4 p.

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

  4. Published

    VPRS-based regional decision fusion of CNN and MRF classifications for very fine resolution remotely sensed images

    Zhang, C., Sargent, I., Pan, X., Gardiner, A., Hare, J. & Atkinson, P. M., 08/2018, In: IEEE Transactions on Geoscience and Remote Sensing. 56, 8, p. 4507-4521 15 p.

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

  5. Published

    Spatial-temporal fraction map fusion with multi-scale remotely sensed images

    Zhang, Y., Foody, G. M., Ling, F., Li, X., Ge, Y., Du, Y. & Atkinson, P. M., 08/2018, In: Remote Sensing of Environment. 213, p. 162-181 20 p.

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

  6. Published

    Spectral–Spatial Adaptive Area-to-Point Regression Kriging for MODIS Image Downscaling

    Zhang, Y., Atkinson, P. M., Ling, F., Wang, Q., Li, X., Shi, L. & Du, Y., 1/05/2017, In: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 10, 5, p. 1883-1896 14 p.

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

  7. Published

    Learning-Based Spatial–Temporal Superresolution Mapping of Forest Cover With MODIS Images

    Zhang, Y., Atkinson, P. M., Li, X., Ling, F., Wang, Q. & Du, Y., 01/2017, In: IEEE Transactions on Geoscience and Remote Sensing. 55, 1, p. 600-614 15 p.

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

  8. Published

    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

  9. Published

    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

  10. Published

    Mapping annual forest cover by fusing PALSAR/PALSAR-2 and MODIS NDVI during 2007–2016

    Zhang, Y., Ling, F., Foody, G. M., Ge, Y., Boyd, D. S., Li, X., Du, Y. & Atkinson, P. M., 1/04/2019, In: Remote Sensing of Environment. 224, p. 74-91 18 p.

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

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