I. Farah

发表

Towards an ontological conceptualization for understanding the dynamics of spatio-temporal objects

Imed Riadh Farah, Fethi Ghazouani, Wassim Messaoudi, 2016, 2016 2nd International Conference on Advanced Technologies for Signal and Image Processing (ATSIP).

On Building of a Deep Learning-Based Drought Forecasting System for the Sarab Region [Iran]

Ali Ben Abbes, I. Farah, Raja Inoubli, 2022, Research Developments in Geotechnics, Geo-Informatics and Remote Sensing.

An efficient knowledge-based approach for random variation interpretation in NDVI time series

Ali Ben Abbes, I. Farah, S. Hemissi, 2018, Environmental Earth Sciences.

Ieee Ipas'14: International Image Processing Applications and Systems Conference 2014 an Adaptive Multiplicative Decomposition of Non Stationary Multi-temporal Satellite Images: Application to Urban Changes Detection

Ali Ben Abbes, I. Farah, V. Barra, 2022 .

Urban Growth Analysis Using Multi-Temporal Satellite Images, Non-stationary Decomposition Methods and Stochastic Modeling

Ali Ben Abbes, I. Farah, V. Barra, 2016 .

Prediction changes for stationary/non stationary multi-temporal satellite images using hidden Markov model

Ali Ben Abbes, I. Farah, 2017 .

Comparative study of three satellite image time-series decomposition methods for vegetation change detection

B. Martínez, I. Farah, Rogier de Jong, 2018 .

High-level hyperspectral image classification based on spectro-spatial dimensionality reduction

I. Farah, A. Sellami, 2016 .

A New Spatio-temporal ICA for Multi-temporal Endmembers Extraction and Change Trajectory Analysis

Imed Riadh Farah, Karim Saheb Ettabaa, Basel Solaiman, 2011 .

Interpretation of hyperspectral imagery based on hybrid dimensionality reduction methods

I. Farah, A. Sellami, K. Ettabaâ, 2014, International Image Processing, Applications and Systems Conference.

Development of a Neural Network based Algorithm for Multi-Scale Roughness Parameters and Soil Moisture Retrieval

M. R. Boussema, I. Farah, R. Bennaceur, 2008 .

A Neural Network Approach for the Inversion of Multi-Scale Roughness Parameters and Soil Moisture

M. R. Boussema, I. Farah, R. Bennaceur, 2006, 2006 2nd International Conference on Information & Communication Technologies.

Estimation of Physical Parameters of a Multilayered Multi-Scale Vegetated Surface

I. Farah, M. Naceur, L. B. Farah, 2016 .

A deep learning approach for forecasting non-stationary big remote sensing time series

B. Martínez, I. Farah, A. Ben Abbes, 2020, Arabian Journal of Geosciences.

A New Spectral Unmixing Approach based on ICA and Spectral Angle Measure for Hyperspectral Images

Zouhaier Ben Rabah, I. Farah, B. Solaiman, 2009 .

An improved trend vegetation analysis for non-stationary NDVI time series based on wavelet transform

B. Martínez, I. Farah, A. Ben Abbes, 2020, Environmental Science and Pollution Research.

a Class-Outlier Approach for Environnemental Monitoring Using Uav Hyperspectral Images

I. Farah, S. Hemissi, 2015 .

Multidimensional architecture using a massive and heterogeneous data: Application to drought monitoring

Ali Ben Abbes, I. Farah, N. Mellouli, 2022, Future Generation Computer Systems.

Trend Analysis Using Discrete Wavelet Transform (DWT) for Non-stationary NDVI Time Series in Tunisia

Imed Riadh Farah, Manel Rhif, Ali Ben Abbes, 2021 .

Towards an Intelligent Predictive Model for Analyzing Spatio-Temporal Satellite Image Based on Hidden Markov Chain

I. Farah, V. Barra, H. Essid, 2013 .

Optimal selection of wavelet transform parameters for spatio-temporal analysis based on non-stationary NDVI MODIS time series in Mediterranean region

M. Gilabert, B. Martínez, I. Farah, 2022, ISPRS Journal of Photogrammetry and Remote Sensing.

A Genetic Algorithm for the Retrieval of Soil Multi-scale Roughness and Moisture Parameters

I. Farah, M. Naceur, R. Bennaceur, 2019, 2019 PhotonIcs & Electromagnetics Research Symposium - Spring (PIERS-Spring).

Transformers-based time series forecasting for piezometric level prediction

I. Farah, N. Mellouli, M. Rabah, 2022, 2022 IEEE International Conference on Evolving and Adaptive Intelligent Systems (EAIS).

Leveraging Artificial Intelligence Techniques for Smart Palm Tree Detection: A Decade Systematic Review

I. Farah, W. Boulila, Yosra Hajjaji, 2022, KES.

Uncertainty heuristics of large margin active learning for hyperspectral image classification

Philippe Lagacherie, Imed Riadh Farah, Nesrine Chehata, 2014, International Image Processing, Applications and Systems Conference.

Qualitative semantic spatio-temporal reasoning based on description logics for modeling dynamics of spatio-temporal objects in satellite images

Imed Riadh Farah, Bassel Solaiman, Fethi Ghazouani, 2018, 2018 4th International Conference on Advanced Technologies for Signal and Image Processing (ATSIP).

A data mining based approach to predict spatiotemporal changes in satellite images

B. Solaiman, I.R. Farah, W. Boulila, 2011, Int. J. Appl. Earth Obs. Geoinformation.

Spatio-Temporal Modeling for Knowledge Discovery in Satellite Image Databases

Henda Hajjami Ben Ghézala, Wadii Boulila, Imed Riadh Farah, 2010, CORIA.

Parameter and structural model imperfection propagation using evidence theory in land cover change prediction

Wadii Boulila, Imed Riadh Farah, Ahlem Ferchichi, 2014, International Image Processing, Applications and Systems Conference.

A Multi-features Fusion of Multi-temporal Hyperspectral Images using a Cooperative GDD/SVM Method

Imed Riadh Farah, Selim Hemissi, I. Farah, 2013, ICPRAM.

Phenology as accuracy metrics for vegetation index forecasting over Tunisian forest and cereal cover types

I. Farah, A. Tarquis, H. Essid, 2021 .

A Multi-Level Semantic Scene Interpretation Strategy for Change Interpretation in Remote Sensing Imagery

Imed Riadh Farah, Basel Solaiman, Fethi Ghazouani, 2019, IEEE Transactions on Geoscience and Remote Sensing.

Towards an intelligent multi-sensor satellite image analysis based on blind source separation using multi-source image fusion

I. R. Farah, M. B. Ahmed, I. Farah, 2010 .

Wavelet Transform Application for/in Non-Stationary Time-Series Analysis: A Review

Imed Riadh Farah, Manel Rhif, Beatriz Martínez, 2019, Applied Sciences.

An Ontological Model for Knowledge Representation of the Genetic Regulation Networks

I. Farah, M. Ben ahmed, I. Hamdi, 2008, 2008 3rd International Conference on Information and Communication Technologies: From Theory to Applications.

Interpretation of Human Behavior from Multi-modal Brain MRI Images based on Graph Deep Neural Networks and Attention Mechanism

Imed Riadh Farah, Akrem Sellami, Refka Hanachi, 2021, VISIGRAPP.

Resolution methods for constraint satisfaction problem in remote sensing field: A survey of static and dynamic algorithms

I. Farah, P. Gançarski, W. Boulila, 2022, Ecol. Informatics.

A data-noise tolerant method for multi-temporal hyperspectral images classification

Imed Riadh Farah, Selim Hemissi, I. Farah, 2013, 2013 5th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS).

Big data and IoT-based applications in smart environments: A systematic review

Imed Romdhani, Wadii Boulila, Imed Riadh Farah, 2021, Comput. Sci. Rev..

Forecasting vegetation indices from spatio-temporal remotely sensed data using deep learning-based approaches: A systematic literature review

Ali Ben Abbes, I. Farah, V. Barra, 2022, Ecol. Informatics.

Veg-W2TCN: A parallel hybrid forecasting framework for non-stationary time series using wavelet and temporal convolution network model

Ali Ben Abbes, I. Farah, M. Rhif, 2023, Appl. Soft Comput..

Remote Sensing Scene Classification Using Convolutional Features and Deep Forest Classifier

Mohamed Farah, Imed Riadh Farah, Yaakoub Boualleg, 2019, IEEE Geoscience and Remote Sensing Letters.

A Hybrid Privacy-Preserving Deep Learning Approach for Object Classification in Very High-Resolution Satellite Images

I. Farah, W. Boulila, Adel Ammar, 2022, Remote. Sens..

Interesting spatiotemporal rules discovery: application to remotely sensed image databases

Wadii Boulila, Imed Riadh Farah, B. Solaiman, 2011 .

Improving Spatiotemporal Change Detection: A High Level Fusion Approach for Discovering Uncertain Knowledge from Satellite Image Database

Wadii Boulila, Imed Riadh Farah, Karim Saheb Ettabaa, 2009 .

Multi-Spectro-Temporal Analysis of Hyperspectral Imagery Based on 3-D Spectral Modeling and Multilinear Algebra

Imed Riadh Farah, Bassel Solaiman, Karim Saheb Ettabaâ, 2013, IEEE Transactions on Geoscience and Remote Sensing.

Deep learning guided by an ontology for medical images classification using a multimodal fusion

Fethi Ghazouani, I. Farah, Hela Yahyaoui, 2021, 2021 International Congress of Advanced Technology and Engineering (ICOTEN).

Fused 3-D spectral-spatial deep neural networks and spectral clustering for hyperspectral image classification

Vincent Barra, Imed Riadh Farah, Akrem Sellami, 2020, Pattern Recognit. Lett..

Hyperspectral imagery classification based on semi-supervised 3-D deep neural network and adaptive band selection

Mohamed Farah, Imed Riadh Farah, Basel Solaiman, 2019, Expert Syst. Appl..

Prediction of land use/land cover change methods: A study

Imed Riadh Farah, Houcine Essid, Oumayma Bounouh, 2017, 2017 International Conference on Advanced Technologies for Signal and Image Processing (ATSIP).

Improvement of satellite image classification: Approach based on Hadoop/MapReduce

Wadii Boulila, Imed Riadh Farah, Imen Chebbi, 2016, 2016 2nd International Conference on Advanced Technologies for Signal and Image Processing (ATSIP).

Multi-resolution and multi-spectral analysis for satellite images classification with fuzzy spatial relationships

Imed Riadh Farah, Bassel Solaiman, Zouhaier Ben Rabah, 2014, International Image Processing, Applications and Systems Conference.

A New Method to Change Illumination Effect Reduction Based on Spectral Angle Constraint for Hyperspectral Image Unmixing

Imed Riadh Farah, Bassel Solaiman, Grégoire Mercier, 2011, IEEE Geoscience and Remote Sensing Letters.

A review of drought monitoring using remote sensing and data mining methods

Tsegaye Tadesse, Imed Riadh Farah, Mohammad Taghi Sattari, 2020, 2020 5th International Conference on Advanced Technologies for Signal and Image Processing (ATSIP).

A review of drought monitoring with big data: Issues, methods, challenges and research directions

Imed Riadh Farah, Myriam Lamolle, Hanen Balti, 2020, Ecol. Informatics.

SMETool: A web-based tool for soil moisture estimation based on Eo-Learn framework and Machine Learning methods

Ali Ben Abbes, I. Farah, M. Ouessar, 2022, Environ. Model. Softw..

Validation Approach of the Tectonic Lineament Extraction Enhancement Using Sentinel 2A Images and Modified 3 × 3 Bidirectional Prewitt Filters. Case Study: Grombalia, Tunisia

I. Farah, N. Rebai, Slimene Sedrette, 2021, Journal of Geographic Information System.

Big data based architecture for drought forecasting using LSTM, ARIMA, and Prophet: Case study of the Jiangsu Province, China

Ali Ben Abbes, I. Farah, N. Mellouli, 2021, 2021 International Congress of Advanced Technology and Engineering (ICOTEN).

Combining deep learning methods and multi-resolution analysis for drought forecasting modeling

Ali Ben Abbes, I. Farah, M. Rhif, 2023, Earth Science Informatics.

Sensitivity analysis approach to model epistemic and aleatory imperfection: Application to Land Cover Change prediction model

Wadii Boulila, Imed Riadh Farah, Zouhayra Ayadi, 2017, J. Comput. Sci..

Fuzzy Spatio-Spectro-Temporal Ontology for Remote Sensing Image Annotation and Interpretation: Application to Natural Risks Assessment

Mohamed Farah, Imed Riadh Farah, Wassim Messaoudi, 2019, Int. J. Uncertain. Fuzziness Knowl. Based Syst..

Mohamed Farah, Imed Riadh Farah, Hafed Nefzi, 2016, Comput. Geosci..

Towards a new ontology matching approach based on multi-criteria analysis methods

Mohamed Farah, Imed Riadh Farah, Basel Solaiman, 2014, International Image Processing, Applications and Systems Conference.

A Semi-automatic Mapping Selection in the Ontology Alignment Process

Mohamed Farah, Imed Riadh Farah, Bassel Solaiman, 2014, KEOD.

A non-stationary NDVI time series modelling using triplet Markov chain

Vincent Barra, Mohamed Farah, Imed Riadh Farah, 2019, International Journal of Information and Decision Sciences.

Big Data: Concepts, Challenges and Applications

Wadii Boulila, Imed Riadh Farah, Imen Chebbi, 2015, ICCCI.

Non-stationary and unequally spaced NDVI time series analyses by the LSWAVE software

Ebrahim Ghaderpour, Imed Riadh Farah, Ali Ben Abbes, 2020, International Journal of Remote Sensing.

A critical analysis of lifecycles and methods for ontology construction and evaluation

Mohamed Farah, Imed Riadh Farah, Bassel Solaiman, 2014, 2014 1st International Conference on Advanced Technologies for Signal and Image Processing (ATSIP).

Case-Based Reasoning: Problems And Importance Of Similarity Measure

Imed Riadh Farah, Basel Solaiman, Makram Mestiri, 2020, 2020 5th International Conference on Advanced Technologies for Signal and Image Processing (ATSIP).

Corrigendum to "Propagating aleatory and epistemic uncertainty in land cover change prediction process" [Ecol. Inform. 37, 24-37]

Wadii Boulila, Imed Riadh Farah, Ahlem Ferchichi, 2018, Ecological Informatics.

Reducing uncertainties in land cover change models using sensitivity analysis

Wadii Boulila, Imed Riadh Farah, Ahlem Ferchichi, 2018, Knowledge and Information Systems.

Rate-Invariant Modeling in Lie Algebra for Activity Recognition

Hassen Drira, Imed Riadh Farah, Makram Mestiri, 2020, Electronics.

Detection of trend and seasonal changes in non-stationary remote sensing data: Case study of Tunisia vegetation dynamics

Ali Ben Abbes, B. Martínez, I. Farah, 2022, Ecol. Informatics.

Evaluation and predictability of water erosion based on spectral information analysis

Imed Riadh Farah, Zouhaier Ben Rabah, I. Farah, 2016, 2016 2nd International Conference on Advanced Technologies for Signal and Image Processing (ATSIP).

An improved tile-based scalable distributed management model of massive high-resolution satellite images

Wadii Boulila, Imed Riadh Farah, Yosra Hajjaji, 2021, International Conference on Knowledge-Based Intelligent Information & Engineering Systems.

Sustainable Palm Tree Farming: Leveraging IoT and Multi-Modal Data for Early Detection and Mapping of Red Palm Weevil

I. Farah, W. Boulila, A. Koubâa, 2023, ArXiv.

Performance investigation of selected NoSQL databases for massive remote sensing image data storage

Imed Riadh Farah, Yosra Hajjaji, I. Farah, 2018, 2018 4th International Conference on Advanced Technologies for Signal and Image Processing (ATSIP).

Rare events detection in NDVI time-series using Jarque-Bera test

Vincent Barra, Imed Riadh Farah, Houcine Essid, 2015, 2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS).

Action Recognition from 3D Skeleton Sequences using Deep Networks on Lie Group Features

Imed Riadh Farah, Hazem Wannous, Manel Rhif, 2018, 2018 24th International Conference on Pattern Recognition (ICPR).

A Feature Selection-Based Method for an Ontological Enrichment Process in Geographic Knowledge Modelling

Imed Riadh Farah, Mohamed Farah, Hafedh Nefzi, 2017 .

Hyperspectral Imagery Semantic Interpretation Based on Adaptive Constrained Band Selection and Knowledge Extraction Techniques

Mohamed Farah, Imed Riadh Farah, Basel Solaiman, 2018, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

Propagating aleatory and epistemic uncertainty in land cover change prediction process

Wadii Boulila, Imed Riadh Farah, Ahlem Ferchichi, 2017, Ecol. Informatics.

An Evaluation of Soil Moisture Retrieval Using Machine Learning Methods: Application in Arid Regions of Tunisia

Imed Riadh Farah, Ali Ben Abbes, Noureddine Jarray, 2021, 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS.

An open source platform to estimate Soil Moisture using Machine Learning Methods based on Eo-learn library

Ali Ben Abbes, I. Farah, M. Rhif, 2021, 2021 International Congress of Advanced Technology and Engineering (ICOTEN).

A Novel Teacher–Student Framework for Soil Moisture Retrieval by Combining Sentinel-1 and Sentinel-2: Application in Arid Regions

Ali Ben Abbes, I. Farah, N. Jarray, 2022, IEEE Geoscience and Remote Sensing Letters.

A novel decision support system for the interpretation of remote sensing big data

Amir Hussain, Wadii Boulila, Imed Riadh Farah, 2018, Earth Science Informatics.

Parcel-Based Active Learning for Large Extent Cultivated Area Mapping

Philippe Lagacherie, Imed Riadh Farah, Jean-Stéphane Bailly, 2018, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

A deep learning approach based on morphological profiles for Hyperspectral Image unmixing

M. Mura, I. Farah, A. Sellami, 2022, International Conference on Advanced Technologies for Signal and Image Processing.

An improved classification of hypersepctral imaging based on spectral signature and Gray Level Co-occurrence Matrix

Imed Riadh Farah, Fedia Ghedass, I. Farah, 2015 .

Semantic Remote Sensing Scenes Interpretation and Change Interpretation

Imed Riadh Farah, Basel Solaiman, Fethi Ghazouani, 2018 .

Toward Citizen-Edited Image-Populated Ontologies for Earth Observation—A Position Paper

R. Laurini, I. Farah, 2018 .

A Hybrid Approach Based on GAN and CNN-LSTM for Aerial Activity Recognition

Mohamed Amine Ben Rhaiem, I. Farah, Mouna Selmi, 2023, Remote Sensing.

Combining 2D encoding and convolutional neural network to enhance land cover mapping from Satellite Image Time Series

Ali Ben Abbes, I. Farah, D. Ienco, 2023, Eng. Appl. Artif. Intell..

Model Based Anomaly Detection in High Dimensional DATA

I. Farah, B. Solaiman, Imen Gatfaoui, 2022, 2022 6th International Conference on Advanced Technologies for Signal and Image Processing (ATSIP).

Graph-Based Classification and Urban Modeling of Laser Scanning and Imagery: Toward 3D Smart Web Services

I. Farah, Slim Namouchi, 2021, Remote. Sens..

Piecewise Horizontal 3D Roof Reconstruction from Aerial Lidar

Imed Riadh Farah, Bruno Vallet, Slim Namouchi, 2019, IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium.

Big Remote Sensing Image Classification Based on Deep Learning Extraction Features and Distributed Spark Frameworks

Imed Riadh Farah, Myriam Lamolle, Nedra Mellouli, 2021, Big Data Cogn. Comput..

An efficient approach for multi-temporal hyperspectral images interpretation based on high-order tensor

B. Solaiman, I.R. Farah, S. Hemissi, 2011, Remote Sensing.

Representing and modeling spatio-temporal uncertainty using belief function theory in flood extent mapping

I. Farah, Ahlem Ferchichi, Manel Chehibi, 2022, Expert Syst. Appl..

Triplet Markov Chain for Modeling a Non-Stationary NDVI Time Series

Ali Ben Abbes, I. Farah, V. Barra, 2016 .

Suspicious Local Event Detection in Social Media and Remote Sensing: Towards a Geosocial Dataset Construction

Bouabid Marwen, Farah Mohamed, Farah Imed Riadh, 2020, 2020 5th International Conference on Advanced Technologies for Signal and Image Processing (ATSIP).

Evaluation of Two Surface Scattering Models Within the Water Cloud Model Over an Agricultural Area in Mexico and Synergistic Use of Sentinel-1 and Sentinel-2 Images

Daniel Enrique Constantino-Recillas, A. Monsiváis-Huertero, I. Farah, 2023, IEEE International Geoscience and Remote Sensing Symposium.

Graph of visual words for semantic annotation of remote sensing images

Mohamed Farah, Imed Riadh Farah, Khitem Amiri, 2016, 2016 2nd International Conference on Advanced Technologies for Signal and Image Processing (ATSIP).

Graph-based deep learning techniques for remote sensing applications: Techniques, taxonomy, and applications - A comprehensive review

I. Farah, W. Boulila, Manel Khazri Khlifi, 2023, Comput. Sci. Rev..

Spatio-temporal heterogeneous graph using multivariate earth observation time series: Application for drought forecasting

Ali Ben Abbes, I. Farah, N. Mellouli, 2023, Comput. Geosci..

Machine learning for food security: current status, challenges, and future perspectives

Ali Ben Abbes, I. Farah, N. Jarray, 2023, Artificial Intelligence Review.

Multiapproach System Based on Fusion of Multispectral Images for Land-Cover Classification

Mohamed Ben Ahmed, Wadii Boulila, Imed Riadh Farah, 2008, IEEE Transactions on Geoscience and Remote Sensing.

Spatio-temporal modeling based on hidden Markov model for object tracking in satellite imagery

Ali Ben Abbes, I. R. Farah, V. Barra, 2012, 2012 6th International Conference on Sciences of Electronics, Technologies of Information and Telecommunications (SETIT).

Enhancing Big Data Warehousing and Analytics for Spatio-Temporal Massive Data

Imed Riadh Farah, Myriam Lamolle, Hanen Balti, 2021, ISD.

An improved classification of hyperspectral imaging based on spectral signature and gray level co-occurrence matrix

Imed Riadh Farah, Fedia Ghedass, I. Farah, 2015, SAGEO.

A methodology for modelling and retrieving satellite images basing on spatial knowledge: application to natural risks

Basel Solaiman, Wassim Messaoudi, Imed Riadh Farah, 2011, International Conference on Graphic and Image Processing.

A Spatial Hypergraph Based Semi-Supervised Band Selection Method for Hyperspectral Imagery Semantic Interpretation

Imed Riadh Farah, Akrem Sellami, I. Farah, 2016 .

Multi-attention Generative Adversarial Network for multi-step vegetation indices forecasting using multivariate time series

Ali Ben Abbes, I. Farah, M. Rhif, 2024, Eng. Appl. Artif. Intell..

Towards an uncertainty reduction framework for land-cover change prediction using possibility theory

Wadii Boulila, Imed Riadh Farah, Ahlem Ferchichi, 2017, Vietnam Journal of Computer Science.