| 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 | 452 | 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 | 362 | 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 | 120 | 2019 |
| A review of drought monitoring with big data: Issues, methods, challenges and research directions H Balti, AB Abbes, N Mellouli, IR Farah, Y Sang, M Lamolle Ecological Informatics 60, 101136, 2020 | 85 | 2020 |
| 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 | 85 | 2019 |
| Forecasting vegetation indices from spatio-temporal remotely sensed data using deep learning-based approaches: A systematic literature review A Ferchichi, AB Abbes, V Barra, IR Farah Ecological Informatics 68, 101552, 2022 | 71 | 2022 |
| 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 | 71 | 2011 |
| 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 | 70 | 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 | 63 | 2020 |
| Big data: Concepts, challenges and applications I Chebbi, W Boulila, IR Farah Computational Collective Intelligence: 7th International Conference, ICCCI …, 2015 | 50 | 2015 |
| A novel decision support system for the interpretation of remote sensing big data W Boulila, IR Farah, A Hussain Earth Science Informatics 11, 31-45, 2018 | 49 | 2018 |
| 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 | 47 | 2008 |
| 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 | 47 | 2008 |
| 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 | 46 | 2018 |
| Reducing uncertainties in land cover change models using sensitivity analysis A Ferchichi, W Boulila, IR Farah Knowledge and Information Systems 55, 719-740, 2018 | 42 | 2018 |
| 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 | 42 | 2017 |
| Propagating aleatory and epistemic uncertainty in land cover change prediction process A Ferchichi, W Boulila, IR Farah Ecological informatics 37, 24-37, 2017 | 41 | 2017 |
| 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 | 40 | 2020 |
| 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 | 40 | 2016 |
| A multi-level semantic scene interpretation strategy for change interpretation in remote sensing imagery F Ghazouani, IR Farah, B Solaiman IEEE Transactions on Geoscience and Remote Sensing 57 (11), 8775-8795, 2019 | 39 | 2019 |
