Imed Riadh Farah

Orcid: 0000-0001-9114-5659

According to our database1, Imed Riadh Farah authored at least 144 papers between 2002 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Orthrus: multi-scale land cover mapping from satellite image time series via 2D encoding and convolutional neural network.
Neural Comput. Appl., October, 2024

Advances in remote sensing based soil moisture retrieval: applications, techniques, scales and challenges for combining machine learning and physical models.
Artif. Intell. Rev., September, 2024

A Bi-GRU-based encoder-decoder framework for multivariate time series forecasting.
Soft Comput., May, 2024

Assessment of Surface Scattering Models Within the Water Cloud Model Toward Soil Moisture Retrievals Using Sentinel-1 and Sentinel-2 Images.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024

Multi-view graph representation learning for hyperspectral image classification with spectral-spatial graph neural networks.
Neural Comput. Appl., 2024

Graph feature fusion driven by deep autoencoder for advanced hyperspectral image unmixing.
Knowl. Based Syst., 2024

Multi-attention Generative Adversarial Network for multi-step vegetation indices forecasting using multivariate time series.
Eng. Appl. Artif. Intell., 2024

Predicting C-band backscattering coefficient using the water cloud model and optical vegetation indices.
Proceedings of the IGARSS 2024, 2024

Monitoring Desertification in Tunisia Using Modis Ecological Indicators and Machine Learning.
Proceedings of the IGARSS 2024, 2024

Multi-Scale Classification of Sentinel-2 Images for Land Cover Mapping Using Two-Branch Convolutional Neural Network.
Proceedings of the IGARSS 2024, 2024

Computational methods to retrieve soil moisture using remote sensing data: A review.
Proceedings of the 7th IEEE International Conference on Advanced Technologies, 2024

Advanced graph deep learning for High-dimensional image analysis: challenges and opportunities.
Proceedings of the 7th IEEE International Conference on Advanced Technologies, 2024

TALDS: A Transfer-Active Learning-Driven Siamese Network for Bi-temporal Image Classification.
Proceedings of the 7th IEEE International Conference on Advanced Technologies, 2024

Geometric Deep Learning Techniques for Analyzing Brain 3D Meshes.
Proceedings of the 7th IEEE International Conference on Advanced Technologies, 2024

2023
Machine learning for food security: current status, challenges, and future perspectives.
Artif. Intell. Rev., December, 2023

Graph-based deep learning techniques for remote sensing applications: Techniques, taxonomy, and applications - A comprehensive review.
Comput. Sci. Rev., November, 2023

Spatio-temporal heterogeneous graph using multivariate earth observation time series: Application for drought forecasting.
Comput. Geosci., October, 2023

A Hybrid Approach Based on GAN and CNN-LSTM for Aerial Activity Recognition.
Remote. Sens., July, 2023

Combining deep learning methods and multi-resolution analysis for drought forecasting modeling.
Earth Sci. Informatics, June, 2023

Veg-W2TCN: A parallel hybrid forecasting framework for non-stationary time series using wavelet and temporal convolution network model.
Appl. Soft Comput., April, 2023

Combining 2D encoding and convolutional neural network to enhance land cover mapping from Satellite Image Time Series.
Eng. Appl. Artif. Intell., 2023

Modeling Complex Object Changes in Satellite Image Time-Series: Approach based on CSP and Spatiotemporal Graph.
CoRR, 2023

Sustainable Palm Tree Farming: Leveraging IoT and Multi-Modal Data for Early Detection and Mapping of Red Palm Weevil.
Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 27th International Conference KES-2023, 2023

Modeling Complex Object Changes in Satellite Image Time-Series: Approach based on CSP and Spatiotemporal Graphs.
Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 27th International Conference KES-2023, 2023

Interpolation and Prediction of Piezometric Multivariate Time Series Based on Data Augmentation and Transformers.
Proceedings of the Intelligent Systems and Applications, 2023

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.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

DNGAE: Deep Neighborhood Graph Autoencoder for Robust Blind Hyperspectral Unmixing.
Proceedings of the Computational Collective Intelligence - 15th International Conference, 2023

Desertification Detection in Satellite Images Using Siamese Variational Autoencoder with Transfer Learning.
Proceedings of the Computational Collective Intelligence - 15th International Conference, 2023

2022
Graph-Based Classification and Urban Modeling of Laser Scanning and Imagery: Toward 3D Smart Web Services.
Remote. Sens., 2022

A Hybrid Privacy-Preserving Deep Learning Approach for Object Classification in Very High-Resolution Satellite Images.
Remote. Sens., 2022

A Novel Teacher-Student Framework for Soil Moisture Retrieval by Combining Sentinel-1 and Sentinel-2: Application in Arid Regions.
IEEE Geosci. Remote. Sens. Lett., 2022

Multidimensional architecture using a massive and heterogeneous data: Application to drought monitoring.
Future Gener. Comput. Syst., 2022

Representing and modeling spatio-temporal uncertainty using belief function theory in flood extent mapping.
Expert Syst. Appl., 2022

SMETool: A web-based tool for soil moisture estimation based on Eo-Learn framework and Machine Learning methods.
Environ. Model. Softw., 2022

Detection of trend and seasonal changes in non-stationary remote sensing data: Case study of Tunisia vegetation dynamics.
Ecol. Informatics, 2022

Forecasting vegetation indices from spatio-temporal remotely sensed data using deep learning-based approaches: A systematic literature review.
Ecol. Informatics, 2022

Resolution methods for constraint satisfaction problem in remote sensing field: A survey of static and dynamic algorithms.
Ecol. Informatics, 2022

Multi Spectral-Spatial Gabor Feature Fusion Based On End-To-End Deep Learning For Hyperspectral Image Classification.
Proceedings of the 12th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing, 2022

Leveraging Artificial Intelligence Techniques for Smart Palm Tree Detection: A Decade Systematic Review.
Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 26th International Conference KES-2022, 2022

A Machine Learning Framework for Cereal Yield Forecasting Using Heterogeneous Data.
Proceedings of the Intelligent Systems Design and Applications - 22nd International Conference on Intelligent Systems Design and Applications (ISDA 2022) Held December 12-14, 2022, 2022

Desertification Detection Based on Landsat Time-Series Images and Variational Auto-Encoder: Application in Jeffera, Tunisia.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

Novel Method for Combining NDVI Time Series Forecasting Models.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

SmartEarthTunisia: A Benchmark for Monitoring the SDGs USING Earth Observation Data and Deep Learning Techniques In Tunisia.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

Modèle de prédiction de niveau piézométrique basé sur Transformers.
Proceedings of the Extraction et Gestion des Connaissances, 2022

Transformers-based time series forecasting for piezometric level prediction.
Proceedings of the IEEE International Conference on Evolving and Adaptive Intelligent System, 2022

An Intelligent System for Managing Uncertain Temporal Flood Events.
Proceedings of the Belief Functions: Theory and Applications, 2022

Hypothetical reasoning method based on hypothetical cases.
Proceedings of the 6th International Conference on Advanced Technologies for Signal and Image Processing, 2022

Improving Smart City Frameworks based on Enterprise Architecture with territorial governance to manage covid -19 crisis.
Proceedings of the 6th International Conference on Advanced Technologies for Signal and Image Processing, 2022

Model Based Anomaly Detection in High Dimensional DATA.
Proceedings of the 6th International Conference on Advanced Technologies for Signal and Image Processing, 2022

Structured Case Base Knowledge using Unsupervised Learning.
Proceedings of the 6th International Conference on Advanced Technologies for Signal and Image Processing, 2022

A deep learning approach based on morphological profiles for Hyperspectral Image unmixing.
Proceedings of the 6th International Conference on Advanced Technologies for Signal and Image Processing, 2022

2021
Sub-Pixel Mapping Model Based on Total Variation Regularization and Learned Spatial Dictionary.
Remote. Sens., 2021

Big data and IoT-based applications in smart environments: A systematic review.
Comput. Sci. Rev., 2021

Big Remote Sensing Image Classification Based on Deep Learning Extraction Features and Distributed Spark Frameworks.
Big Data Cogn. Comput., 2021

Interpretation of Human Behavior from Multi-modal Brain MRI Images based on Graph Deep Neural Networks and Attention Mechanism.
Proceedings of the 16th International Joint Conference on Computer Vision, 2021

An improved tile-based scalable distributed management model of massive high-resolution satellite images.
Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 25th International Conference KES-2021, 2021

A Hybrid APM-CPGSO Approach for Constraint Satisfaction Problem Solving: Application to Remote Sensing.
Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 25th International Conference KES-2021, 2021

Enhancing Big Data Warehousing and Analytics for Spatio-Temporal Massive Data.
Proceedings of the Information Systems Development: Crossing Boundaries between Development and Operations (DevOps) in Information Systems (ISD2021 Proceedings), 2021

An Evaluation of Soil Moisture Retrieval Using Machine Learning Methods: Application in Arid Regions of Tunisia.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

An Improved Forecasting Model from Satellite Imagery Based on Optimum Wavelet Bases and Adam Optimized LSTM Methods.
Proceedings of the Computational Collective Intelligence - 13th International Conference, 2021

BS-GAENets: Brain-Spatial Feature Learning Via a Graph Deep Autoencoder for Multi-modal Neuroimaging Analysis.
Proceedings of the Computer Vision, Imaging and Computer Graphics Theory and Applications, 2021

2020
Fused 3-D spectral-spatial deep neural networks and spectral clustering for hyperspectral image classification.
Pattern Recognit. Lett., 2020

A review of drought monitoring with big data: Issues, methods, challenges and research directions.
Ecol. Informatics, 2020

Sub-Pixel Mapping Method Based on K-SVD Dictionary Learning and Total Variation Minimization.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020

Sub-pixel Mapping Method based on Total Variation Minimization and Spectral Dictionary.
Proceedings of the 5th International Conference on Advanced Technologies for Signal and Image Processing, 2020

Soil salinity prediction using a machine learning approach through hyperspectral satellite image.
Proceedings of the 5th International Conference on Advanced Technologies for Signal and Image Processing, 2020

A review of drought monitoring using remote sensing and data mining methods.
Proceedings of the 5th International Conference on Advanced Technologies for Signal and Image Processing, 2020

Case-Based Reasoning: Problems And Importance Of Similarity Measure.
Proceedings of the 5th International Conference on Advanced Technologies for Signal and Image Processing, 2020

Suspicious Local Event Detection in Social Media and Remote Sensing: Towards a Geosocial Dataset Construction.
Proceedings of the 5th International Conference on Advanced Technologies for Signal and Image Processing, 2020

2019
A Multi-Level Semantic Scene Interpretation Strategy for Change Interpretation in Remote Sensing Imagery.
IEEE Trans. Geosci. Remote. Sens., 2019

Remote Sensing Scene Classification Using Convolutional Features and Deep Forest Classifier.
IEEE Geosci. Remote. Sens. Lett., 2019

Fuzzy Spatio-Spectro-Temporal Ontology for Remote Sensing Image Annotation and Interpretation: Application to Natural Risks Assessment.
Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2019

A non-stationary NDVI time series modelling using triplet Markov chain.
Int. J. Inf. Decis. Sci., 2019

Hyperspectral imagery classification based on semi-supervised 3-D deep neural network and adaptive band selection.
Expert Syst. Appl., 2019

Piecewise Horizontal 3D Roof Reconstruction from Aerial Lidar.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

Isotropic Total Variation Minimization for Sub-Pixel Mapping.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

Deep Learning Analysis for Big Remote Sensing Image Classification.
Proceedings of the 11th International Joint Conference on Knowledge Discovery, 2019

Deep Semantic Feature Detection from Multispectral Satellite Images.
Proceedings of the 11th International Joint Conference on Knowledge Discovery, 2019

2018
Hyperspectral Imagery Semantic Interpretation Based on Adaptive Constrained Band Selection and Knowledge Extraction Techniques.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2018

Parcel-Based Active Learning for Large Extent Cultivated Area Mapping.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2018

Reducing uncertainties in land cover change models using sensitivity analysis.
Knowl. Inf. Syst., 2018

A novel decision support system for the interpretation of remote sensing big data.
Earth Sci. Informatics, 2018

Corrigendum to "Propagating aleatory and epistemic uncertainty in land cover change prediction process" [Ecol. Inform. 37, 24-37].
Ecol. Informatics, 2018

Virtual and Augmented Reality in the Valuation of the Tunisian Cultural Heritage: Application to Thysdrus (ElJem) Amphitheater.
Proceedings of the 9th IEEE International Conference on Intelligent Systems, 2018

Designing Human Brain Interface Model for Interactive Cognitive Learning in an Immersive System with Neurofeedback.
Proceedings of the 9th IEEE International Conference on Intelligent Systems, 2018

A GRAPH BASED MODEL FOR SUB-PIXEL OBJECTS RECOGNITION.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

Action Recognition from 3D Skeleton Sequences using Deep Networks on Lie Group Features.
Proceedings of the 24th International Conference on Pattern Recognition, 2018

An adaptive semantic dimensionality reduction approach for hyperspectral imagery classification.
Proceedings of the 4th International Conference on Advanced Technologies for Signal and Image Processing, 2018

Performance investigation of selected NoSQL databases for massive remote sensing image data storage.
Proceedings of the 4th International Conference on Advanced Technologies for Signal and Image Processing, 2018

Qualitative semantic spatio-temporal reasoning based on description logics for modeling dynamics of spatio-temporal objects in satellite images.
Proceedings of the 4th International Conference on Advanced Technologies for Signal and Image Processing, 2018

A comparison of big remote sensing data processing with Hadoop MapReduce and Spark.
Proceedings of the 4th International Conference on Advanced Technologies for Signal and Image Processing, 2018

2017
Towards an uncertainty reduction framework for land-cover change prediction using possibility theory.
Vietnam. J. Comput. Sci., 2017

Sensitivity analysis approach to model epistemic and aleatory imperfection: Application to Land Cover Change prediction model.
J. Comput. Sci., 2017

Propagating aleatory and epistemic uncertainty in land cover change prediction process.
Ecol. Informatics, 2017

Prediction of land use/land cover change methods: A study.
Proceedings of the 2017 International Conference on Advanced Technologies for Signal and Image Processing (ATSIP), 2017

Rate invariant action recognition in Lie algebra.
Proceedings of the 2017 International Conference on Advanced Technologies for Signal and Image Processing (ATSIP), 2017

Fuzzy hypergraph of concepts for semantic annotation of remotely sensed images.
Proceedings of the 2017 International Conference on Advanced Technologies for Signal and Image Processing (ATSIP), 2017

2016
A similarity-based framework for the alignment of an ontology for remote sensing.
Comput. Geosci., 2016

Evaluation and predictability of water erosion based on spectral information analysis.
Proceedings of the 2nd International Conference on Advanced Technologies for Signal and Image Processing, 2016

Super-resolution algorithm based on sub-pixels spatial Correlation for hyperspectral image classification.
Proceedings of the 2nd International Conference on Advanced Technologies for Signal and Image Processing, 2016

On the effects of vegetation on radar backscattering.
Proceedings of the 2nd International Conference on Advanced Technologies for Signal and Image Processing, 2016

Towards an ontological conceptualization for understanding the dynamics of spatio-temporal objects.
Proceedings of the 2nd International Conference on Advanced Technologies for Signal and Image Processing, 2016

Improvement of satellite image classification: Approach based on Hadoop/MapReduce.
Proceedings of the 2nd International Conference on Advanced Technologies for Signal and Image Processing, 2016

Sensitivity analysis of land cover change prediction model in the presence of aleatory and epistemic imperfection.
Proceedings of the 2nd International Conference on Advanced Technologies for Signal and Image Processing, 2016

Graph of visual words for semantic annotation of remote sensing images.
Proceedings of the 2nd International Conference on Advanced Technologies for Signal and Image Processing, 2016

2015
An improved classification of hyperspectral imaging based on spectral signature and gray level co-occurrence matrix.
Proceedings of the Actes de la 11ème conférence internationale annuelle Spatial Analysis and GEOmatics, 2015

Improvement of LCC Prediction Modeling Based on Correlated Parameters and Model Structure Uncertainty Propagation.
Proceedings of the Computational Intelligence - International Joint Conference, 2015

Using Evidence Theory in Land Cover Change Prediction to Model Imperfection Propagation with Correlated Inputs Parameters.
Proceedings of the 7th International Joint Conference on Computational Intelligence (IJCCI 2015), 2015

Can we automatically choose best uncertainty heuristics for large margin active learning?
Proceedings of the 2015 IEEE International Geoscience and Remote Sensing Symposium, 2015

Rare events detection in NDVI time-series using Jarque-Bera test.
Proceedings of the 2015 IEEE International Geoscience and Remote Sensing Symposium, 2015

An Intelligent Possibilistic Approach to Reduce the Effect of the Imperfection Propagation on Land Cover Change Prediction.
Proceedings of the Computational Collective Intelligence - 7th International Conference, 2015

Big Data: Concepts, Challenges and Applications.
Proceedings of the Computational Collective Intelligence - 7th International Conference, 2015

A Multi-level Ontological Approach for Change Monitoring in Remotely Sensed Imagery.
Proceedings of the KEOD 2015, 2015

2014
A Probabilistic Collocation Method for the Imperfection Propagation: Application to Land Cover Change Prediction.
J. Multim. Process. Technol., 2014

Interpretation of hyperspectral imagery based on hybrid dimensionality reduction methods.
Proceedings of the International Image Processing, 2014

Towards a new ontology matching approach based on multi-criteria analysis methods.
Proceedings of the International Image Processing, 2014

Multi-resolution and multi-spectral analysis for satellite images classification with fuzzy spatial relationships.
Proceedings of the International Image Processing, 2014

Parameter and structural model imperfection propagation using evidence theory in land cover change prediction.
Proceedings of the International Image Processing, 2014

Uncertainty heuristics of large margin active learning for hyperspectral image classification.
Proceedings of the International Image Processing, 2014

An adaptive multiplicative decomposition of non stationary multi-temporal satellite images: Application to urban changes detection.
Proceedings of the International Image Processing, 2014

An Approach for Imperfection Propagation: Application to Land Cover Change Prediction.
Proceedings of the Artificial Intelligence and Soft Computing, 2014

A Semi-automatic Mapping Selection in the Ontology Alignment Process.
Proceedings of the KEOD 2014, 2014

A critical analysis of lifecycles and methods for ontology construction and evaluation.
Proceedings of the 2014 1st International Conference on Advanced Technologies for Signal and Image Processing (ATSIP), 2014

A new ontology for semantic annotation of remotely sensed images.
Proceedings of the 2014 1st International Conference on Advanced Technologies for Signal and Image Processing (ATSIP), 2014

A study of changes prediction by HMM with non-stationarity image data: Case of urban area.
Proceedings of the 2014 1st International Conference on Advanced Technologies for Signal and Image Processing (ATSIP), 2014

2013
Multi-Spectro-Temporal Analysis of Hyperspectral Imagery Based on 3-D Spectral Modeling and Multilinear Algebra.
IEEE Trans. Geosci. Remote. Sens., 2013

A data-noise tolerant method for multi-temporal hyperspectral images classification.
Proceedings of the 5th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2013

A Multi-features Fusion of Multi-temporal Hyperspectral Images using a Cooperative GDD/SVM Method.
Proceedings of the ICPRAM 2013, 2013

An Approach based on Adaptive Decision Tree for Land Cover Change Prediction in Satellite Images.
Proceedings of the KDIR/KMIS 2013 - Proceedings of the International Conference on Knowledge Discovery and Information Retrieval and the International Conference on Knowledge Management and Information Sharing, Vilamoura, Algarve, Portugal, 19, 2013

2012
High level adaptive fusion approach: application to land cover change prediction in satellite image databases.
Proceedings of the ACM Symposium on Applied Computing, 2012

A robust Evidential Fisher Discriminant for multi-temporal hyperspectral images classification.
Proceedings of the 2012 IEEE International Geoscience and Remote Sensing Symposium, 2012

2011
A New Method to Change Illumination Effect Reduction Based on Spectral Angle Constraint for Hyperspectral Image Unmixing.
IEEE Geosci. Remote. Sens. Lett., 2011

Combining Decision Fusion and Uncertainty Propagation to Improve Land Cover Change Prediction in Satellite Image Databases.
J. Multim. Process. Technol., 2011

Multi-Approach Satellite Images Fusion Based on Blind Sources Separation.
Int. J. Image Graph., 2011

A data mining based approach to predict spatiotemporal changes in satellite images.
Int. J. Appl. Earth Obs. Geoinformation, 2011

2010
Spatio-Temporal Modeling for Knowledge Discovery in Satellite Image Databases.
Proceedings of the COnférence en Recherche d'Infomations et Applications, 2010

2008
Interpretation of Multisensor Remote Sensing Images: Multiapproach Fusion of Uncertain Information.
IEEE Trans. Geosci. Remote. Sens., 2008

Multiapproach System Based on Fusion of Multispectral Images for Land-Cover Classification.
IEEE Trans. Geosci. Remote. Sens., 2008

Toward a Multi-temporal Approach for Satellite Image Interpretation.
Int. Arab J. Inf. Technol., 2008

2007
Toward a semi-automatic interpretation of scenes issued from multisensor satellite images.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2007

Analyzing and Dynamic Modeling of Molecular Interactions Networks Based on Multi-agent Systems.
Proceedings of the International Conference on Bioinformatics & Computational Biology, 2007

2005
Analysing spatial-temporal data based on generic GIS.
Proceedings of the 2005 ACS / IEEE International Conference on Computer Systems and Applications (AICCSA 2005), 2005

2003
Multispectral satellite image analysis based on the method of blind separation and fusion of sources.
Proceedings of the 2003 IEEE International Geoscience and Remote Sensing Symposium, 2003

2002
Satellite image analysis based on the method of blind separation of sources for the extraction of information.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2002


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