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Professor Peter Atkinson

Distinguished Professor, Executive Dean, Faculty Dean

  1. Published

    A multiple-point spatially weighted k-NN classifier for remote sensing

    Tang, Y., Jing, L., Atkinson, P. M. & Lin, H., 08/2016, In: International Journal of Remote Sensing. 37, 18, p. 4441-4459 19 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  2. Published

    A multiple-point spatially weighted k-NN method for object-based classification

    Tang, Y., Jing, L., Li, H. & Atkinson, P. M., 10/2016, In: International Journal of Applied Earth Observation and Geoinformation. 52, p. 263-274 12 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  3. Published

    A new geostatistical solution to remote sensing image downscaling

    Wang, Q., Shi, W., Atkinson, P. M. & Pardo-Igúzquiza, E., 01/2016, In: IEEE Transactions on Geoscience and Remote Sensing. 54, 1, p. 386-396 11 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  4. Published

    A new multi-resolution based method for estimating local surface roughness from point clouds

    Fan, L. & Atkinson, P. M., 10/2018, In: ISPRS Journal of Photogrammetry and Remote Sensing. 144, p. 369-378 10 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  5. Published

    A novel Greenness and Water Content Composite Index (GWCCI) for soybean mapping from single remotely sensed multispectral images

    Chen, H., Li, H., Liu, Z., Zhang, C., Zhang, S. & Atkinson, P., 1/09/2023, In: Remote Sensing of Environment. 295, p. 1-16 16 p., 113679.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  6. Published

    A novel multi-parameter support vector machine for image classification

    Zhang, C., Wang, T., Atkinson, P. M., Pan, X. & Li, H., 7/04/2015, In: International Journal of Remote Sensing. 36, 7, p. 1890-1906 17 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  7. Published

    A per-pixel, non-stationary mixed model for empirical line atmospheric correction in remote sensing

    Hamm, N. A. S., Atkinson, P. M. & Milton, E. J., 09/2012, In: Remote Sensing of Environment. 124, p. 666-678 13 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  8. Published

    A probabilistic predictive Bayesian approach for determining the representativeness of health and demographic surveillance networks

    Utazi, C. E., Sahu, S. K., Atkinson, P. M., Tejedor, N. & Tatem, A. J., 08/2016, In: Spatial Statistics. 17, p. 161-178 18 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  9. Published

    A quantitative approach for classifying fish otolith strontium: calcium sequences into environmental histories

    Hedger, R. D., Atkinson, P. M., Thibault, I. & Dodson, J. J., 1/07/2008, In: Ecological Informatics. 3, 3, p. 207-217 11 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  10. 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/MagazineJournal articlepeer-review

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