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Research

Professor Peter Atkinson

Distinguished Professor, Executive Dean, Faculty Dean

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  1. Published

    A taxonomic-based joint species distribution model for presence-only data

    Escamilla Molgora, J. M., Sedda, L., Diggle, P. J. & Atkinson, P. M., 28/02/2022, In: Journal of The Royal Society Interface. 19, 187, 16 p., 20210681.

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

  2. Published

    A systematic review of vegetation phenology in Africa

    Adole, T., Dash, J. & Atkinson, P. M., 07/2016, In: Ecological Informatics. 34, p. 117-128 12 p.

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

  3. Published

    A Special Issue on the Importance of Geostatistics in the Era of Data Science

    McKinley, J. M. & Atkinson, P. M., 1/04/2020, In: Mathematical Geosciences. 52, 3, p. 311-315 5 p.

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

  4. Published

    A Semi-Supervised Deep Rule-Based Approach for Complex Satellite Sensor Image Analysis

    Gu, X., Angelov, P., Zhang, C. & Atkinson, P., 31/05/2022, In: IEEE Transactions on Pattern Analysis and Machine Intelligence. 44, 5, p. 2281-2292 12 p.

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

  5. Published

    A Self-Training Hierarchical Prototype-based Ensemble Framework for Remote Sensing Scene Classification

    Gu, X., Zhang, C., Shen, Q., Han, J., Angelov, P. & Atkinson, P., 1/04/2022, In: Information Fusion. 80, p. 179-204 26 p.

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

  6. Published

    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

  7. 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

  8. 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/Magazine › Journal article › peer-review

  9. 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/Magazine › Journal article › peer-review

  10. 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/Magazine › Journal article › peer-review

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