Wavelet transform application for/in non-stationary time-series analysis: a review M Rhif, A Ben Abbes, IR Farah, B Martínez, Y Sang Applied Sciences 9 (7), 1345, 2019 | 124 | 2019 |
Big data and IoT-based applications in smart environments: A systematic review Y Hajjaji, W Boulila, IR Farah, I Romdhani, A Hussain Computer Science Review 39, 100318, 2021 | 98 | 2021 |
Hyperspectral imagery classification based on semi-supervised 3-D deep neural network and adaptive band selection A Sellami, M Farah, IR Farah, B Solaiman Expert Systems with Applications 129, 246-259, 2019 | 71 | 2019 |
A data mining based approach to predict spatiotemporal changes in satellite images W Boulila, IR Farah, KS Ettabaa, B Solaiman, HB Ghézala International Journal of Applied Earth Observation and Geoinformation 13 (3 …, 2011 | 67 | 2011 |
Remote sensing scene classification using convolutional features and deep forest classifier Y Boualleg, M Farah, IR Farah IEEE Geoscience and Remote Sensing Letters 16 (12), 1944-1948, 2019 | 46 | 2019 |
Interpretation of multisensor remote sensing images: Multiapproach fusion of uncertain information IR Farah, W Boulila, KS Ettabaa, B Solaiman, MB Ahmed IEEE Transactions on Geoscience and Remote Sensing 46 (12), 4142-4152, 2008 | 41 | 2008 |
Multi-spectro-temporal analysis of hyperspectral imagery based on 3-D spectral modeling and multilinear algebra S Hemissi, IR Farah, KS Ettabaa, B Solaiman IEEE transactions on geoscience and remote sensing 51 (1), 199-216, 2012 | 39 | 2012 |
Multiapproach system based on fusion of multispectral images for land-cover classification IR Farah, W Boulila, KS Ettabaa, MB Ahmed IEEE Transactions on Geoscience and Remote Sensing 46 (12), 4153-4161, 2008 | 38 | 2008 |
Comparative study of three satellite image time-series decomposition methods for vegetation change detection A Ben Abbes, O Bounouh, IR Farah, R de Jong, B Martínez European Journal of Remote Sensing 51 (1), 607-615, 2018 | 37 | 2018 |
Fused 3-D spectral-spatial deep neural networks and spectral clustering for hyperspectral image classification A Sellami, AB Abbes, V Barra, IR Farah Pattern Recognition Letters 138, 594-600, 2020 | 34 | 2020 |
A novel decision support system for the interpretation of remote sensing big data W Boulila, IR Farah, A Hussain Earth Science Informatics 11 (1), 31-45, 2018 | 33 | 2018 |
A comparison of big remote sensing data processing with Hadoop MapReduce and Spark I Chebbi, W Boulila, N Mellouli, M Lamolle, IR Farah 2018 4th International Conference on Advanced Technologies for Signal and …, 2018 | 32 | 2018 |
Big data: Concepts, challenges and applications I Chebbi, W Boulila, IR Farah Computational collective intelligence, 638-647, 2015 | 32 | 2015 |
Reducing uncertainties in land cover change models using sensitivity analysis A Ferchichi, W Boulila, IR Farah Knowledge and Information Systems 55 (3), 719-740, 2018 | 29 | 2018 |
Improvement of satellite image classification: Approach based on Hadoop/MapReduce I Chebbi, W Boulila, IR Farah 2016 2nd International Conference on Advanced Technologies for Signal and …, 2016 | 28 | 2016 |
Sensitivity analysis approach to model epistemic and aleatory imperfection: Application to Land Cover Change prediction model W Boulila, Z Ayadi, IR Farah Journal of computational science 23, 58-70, 2017 | 26 | 2017 |
Improving spatiotemporal change detection: A high level fusion approach for discovering uncertain knowledge from satellite image databases W Boulila, IR Farah, KS Ettabaa, B Solaiman, HB Ghézala Icdm 9, 222-227, 2009 | 26 | 2009 |
Propagating aleatory and epistemic uncertainty in land cover change prediction process A Ferchichi, W Boulila, IR Farah Ecological informatics 37, 24-37, 2017 | 25 | 2017 |
Spatio-Temporal Modeling for Knowledge Discovery in Satellite Image Databases. W Boulila, IR Farah, KS Ettabaa, B Solaiman, HB Ghézala CORIA, 35-49, 2010 | 25 | 2010 |
Non-stationary and unequally spaced NDVI time series analyses by the LSWAVE software E Ghaderpour, A Ben Abbes, M Rhif, SD Pagiatakis, IR Farah International Journal of Remote Sensing 41 (6), 2374-2390, 2020 | 22 | 2020 |