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  • 2021

    Deep domain adaptation in earth observation

    Kellenberger, B., Tasar, O., Damodaran, B. B., Courty, N. & Tuia, D., 20 Aug 2021, Deep Learning for the Earth Sciences: A Comprehensive Approach to Remote Sensing, Climate Science and Geosciences. Camps-Valls, G., Tuia, D., Xiang Zhu, X. & Reichstein, M. (eds.). Wiley, p. 90-104 15 p.

    Research output: Chapter in Book/Report/Conference proceedingChapterAcademicpeer-review

    5 Citations (Scopus)
  • Deep learning-based semantic segmentation in remote sensing

    Tuia, D., Marcos, D., Schindler, K. & Le Saux, B., 20 Aug 2021, Deep Learning for the Earth Sciences: A Comprehensive Approach to Remote Sensing, Climate Science and Geosciences. Camps-Valls, G., Tuia, D., Xiang Zhu, X. & Reichstein, M. (eds.). Wiley, p. 46-66 21 p.

    Research output: Chapter in Book/Report/Conference proceedingChapterAcademicpeer-review

    1 Citation (Scopus)
  • 2018

    Advances in Kernel Machines for Image Classification and Biophysical Parameter Retrieval

    Tuia, D., Volpi, M., Verrelst, J. & Camps-valls, G., 2018, Mathematical Models for Remote Sensing Image Processing: Models and Methods for the Analysis of 2D Satellite and Aerial Images. Moser, G. & Zerubia, J. (eds.). Springer, p. 399-441 (Signals and Communication Technology).

    Research output: Chapter in Book/Report/Conference proceedingChapterAcademic

    4 Citations (Scopus)
  • Contributions of machine learning to remote sensing data analysis

    Scheunders, P., Tuia, D. & Moser, G., 2018, Data processing and analysis methodology. Liang, S. (ed.). Elsevier, p. 199-243 45 p. (Comprehensive remote sensing; vol. 2).

    Research output: Chapter in Book/Report/Conference proceedingChapterAcademicpeer-review

    13 Citations (Scopus)
  • 2014

    Passive Optical Data Processing

    Tuia, D., 17 Mar 2014, Remote Sensing Imagery. Wiley, Vol. 9781848215085. p. 155-180 26 p.

    Research output: Chapter in Book/Report/Conference proceedingChapterAcademicpeer-review

  • 2012

    Active Learning for Monitoring Network Optimization

    Tuia, D., Pozdnoukhov, A., Foresti, L. & Kanevski, M., 11 Oct 2012, Spatio-temporal Design: Advances in Efficient Data Acquisition. Mateu, J. & Muller, W. G. (eds.). Wiley, p. 285-318 34 p.

    Research output: Chapter in Book/Report/Conference proceedingChapterAcademicpeer-review

    6 Citations (Scopus)
  • 2008

    Environmental Monitoring Network Characterization and Clustering

    Tuia, D. & Kanevski, M., 1 Jan 2008, Advanced Mapping of Environmental Data: Geostatistics, Machine Learning and Bayesian Maximum Entropy. ISTE Ltd, p. 19-46 28 p.

    Research output: Chapter in Book/Report/Conference proceedingChapterAcademicpeer-review

    8 Citations (Scopus)