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Farid Melgani
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2020 – today
- 2024
- [j112]Praveen Kumar Sekharamantry
, Farid Melgani
, Jonni Malacarne
, Riccardo Ricci
, Rodrigo Silva, José Marcato Junior
:
A Seamless Deep Learning Approach for Apple Detection, Depth Estimation, and Tracking Using YOLO Models Enhanced by Multi-Head Attention Mechanism. Comput. 13(3): 83 (2024) - [j111]Riccardo Ricci
, Yakoub Bazi
, Farid Melgani
:
Machine-to-Machine Visual Dialoguing with ChatGPT for Enriched Textual Image Description. Remote. Sens. 16(3): 441 (2024) - [j110]Yakoub Bazi
, Laila Bashmal, Mohamad Mahmoud Al Rahhal
, Riccardo Ricci
, Farid Melgani
:
RS-LLaVA: A Large Vision-Language Model for Joint Captioning and Question Answering in Remote Sensing Imagery. Remote. Sens. 16(9): 1477 (2024) - [j109]Riccardo Ricci
, Farid Melgani
, José Marcato Junior
, Wesley Nunes Gonçalves
:
NLP-Based Fusion Approach to Robust Image Captioning. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 17: 11809-11822 (2024) - 2023
- [j108]Praveen Kumar Sekharamantry
, Farid Melgani
, Jonni Malacarne
:
Deep Learning-Based Apple Detection with Attention Module and Improved Loss Function in YOLO. Remote. Sens. 15(6): 1516 (2023) - [j107]Laila Bashmal, Yakoub Bazi
, Mohamad Mahmoud Al Rahhal
, Mansour Zuair
, Farid Melgani
:
CapERA: Captioning Events in Aerial Videos. Remote. Sens. 15(8): 2139 (2023) - [j106]Khaled Al-Jabri
, Yaseen A. Al-Mulla
, Farid Melgani
, Alexandros Stefanakis
:
Remote Sensing Analysis for Vegetation Assessment of a Large-Scale Constructed Wetland Treating Produced Water Polluted with Oil Hydrocarbons. Remote. Sens. 15(24): 5632 (2023) - [j105]Laila Bashmal, Yakoub Bazi
, Farid Melgani
, Riccardo Ricci
, Mohamad Mahmoud Al Rahhal
, Mansour Zuair
:
Visual Question Generation From Remote Sensing Images. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 16: 3279-3293 (2023) - [j104]Genc Hoxha
, Giacomo Scuccato, Farid Melgani
:
Improving Image Captioning Systems With Postprocessing Strategies. IEEE Trans. Geosci. Remote. Sens. 61: 1-13 (2023) - [c67]Riccardo Ricci, Farid Melgani, José Marcato Junior, Wesley Nunes Gonçalves:
Robust Image Captioning with Post-Generation Ensemble Method. IGARSS 2023: 5234-5237 - 2022
- [j103]Mayar A. Shafaey
, Farid Melgani
, Mohammed A.-M. Salem
, Maryam N. Al-Berry
, Hala Mousher Ebeid
, El-Sayed A. El-Dahshan, Mohamed F. Tolba
:
Pixel-Wise Classification of Hyperspectral Images With 1D Convolutional SVM Networks. IEEE Access 10: 133174-133185 (2022) - [j102]Alessandro dos Santos Ferreira
, José Marcato Junior, Hemerson Pistori, Farid Melgani, Wesley Nunes Gonçalves:
Unsupervised domain adaptation using transformers for sugarcane rows and gaps detection. Comput. Electron. Agric. 203: 107480 (2022) - [j101]Mohammed Bouzenita
, Leila Hayet Mouss, Farid Melgani, Toufik Bentrcia:
New fusion frameworks including explicit weighting functions for the remaining useful life prognostics. Expert Syst. Appl. 189: 116091 (2022) - [j100]Edoardo Pasetto
, Morris Riedel, Farid Melgani
, Kristel Michielsen, Gabriele Cavallaro
:
Quantum SVR for Chlorophyll Concentration Estimation in Water With Remote Sensing. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [j99]Mohamad Mahmoud Al Rahhal
, Yakoub Bazi
, Norah A. Alsharif
, Laila Bashmal, Naif Alajlan
, Farid Melgani
:
Multilanguage Transformer for Improved Text to Remote Sensing Image Retrieval. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 15: 9115-9126 (2022) - [j98]Yakoub Bazi
, Mohamad Mahmoud Al Rahhal
, Mohamed Lamine Mekhalfi
, Mansour Abdulaziz Al Zuair
, Farid Melgani
:
Bi-Modal Transformer-Based Approach for Visual Question Answering in Remote Sensing Imagery. IEEE Trans. Geosci. Remote. Sens. 60: 1-11 (2022) - [j97]Genc Hoxha
, Seloua Chouaf, Farid Melgani
, Youcef Smara:
Change Captioning: A New Paradigm for Multitemporal Remote Sensing Image Analysis. IEEE Trans. Geosci. Remote. Sens. 60: 1-14 (2022) - [j96]Genc Hoxha
, Farid Melgani
:
A Novel SVM-Based Decoder for Remote Sensing Image Captioning. IEEE Trans. Geosci. Remote. Sens. 60: 1-14 (2022) - [c66]Edoardo Pasetto, Amer Delilbasic
, Gabriele Cavallaro, Madita Willsch, Farid Melgani, Morris Riedel, Kristel Michielsen:
Quantum Support Vector Regression for Biophysical Variable Estimation in Remote Sensing. IGARSS 2022: 4903-4906 - 2021
- [j95]Mohamed Amine Belkadi
, Abdelhamid Daamouche
, Farid Melgani
:
A deep neural network approach to QRS detection using autoencoders. Expert Syst. Appl. 184: 115528 (2021) - [j94]Mesay Belete Bejiga
, Genc Hoxha
, Farid Melgani
:
Improving Text Encoding for Retro-Remote Sensing. IEEE Geosci. Remote. Sens. Lett. 18(4): 622-626 (2021) - [j93]Rachid Hedjam, Abdelhamid Abdesselam
, Farid Melgani:
NMF with feature relationship preservation penalty term for clustering problems. Pattern Recognit. 112: 107814 (2021) - [j92]Youyou Li, Binbin He
, Farid Melgani
, Teng Long
:
Point-Based Weakly Supervised Learning for Object Detection in High Spatial Resolution Remote Sensing Images. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 14: 5361-5371 (2021) - [c65]Amer Delilbasic, Gabriele Cavallaro
, Madita Willsch, Farid Melgani, Morris Riedel, Kristel Michielsen:
Quantum Support Vector Machine Algorithms for Remote Sensing Data Classification. IGARSS 2021: 2608-2611 - [c64]Seloua Chouaf, Genc Hoxha, Youcef Smara, Farid Melgani:
Captioning Changes in Bi-Temporal Remote Sensing Images. IGARSS 2021: 2891-2894 - [c63]Genc Hoxha, Farid Melgani:
An Active Learning Strategy for SVM-Based Captioning. IGARSS 2021: 3229-3232 - [c62]Yosra Saidane, Farid Melgani, Sofia Ben Jebara, Pierre-Franois Pradat, Giovanni de Marco:
Classification between upper and lower motor neurons in amyotrophic lateral sclerosis patients by electromyographic processing and analysis. ISIVC 2021: 1-7 - 2020
- [j91]Viacheslav V. Danilov
, Igor P. Skirnevskiy, Roman A. Manakov, Olga M. Gerget, Farid Melgani
:
Feature selection algorithm based on PDF/PMF area difference. Biomed. Signal Process. Control. 57 (2020) - [j90]Abderezak Touzene, Sultan Al Yahyai, Farid Melgani:
Smart grid resources allocation using smart genetic heuristic. Int. J. Comput. Appl. Technol. 63(1/2): 125-134 (2020) - [j89]Satoru Koda
, Farid Melgani
, Ryuei Nishii
:
Unsupervised Spectral-Spatial Feature Extraction With Generalized Autoencoder for Hyperspectral Imagery. IEEE Geosci. Remote. Sens. Lett. 17(3): 469-473 (2020) - [j88]Mohammed Bouzenita
, Leila Hayet Mouss
, Farid Melgani
, Toufik Bentrcia
:
New fusion and selection approaches for estimating the remaining useful life using Gaussian process regression and induced ordered weighted averaging operators. Qual. Reliab. Eng. Int. 36(6): 2146-2169 (2020) - [j87]Mohamed Lamine Mekhalfi
, Carlo Nicolò, Ivan Ianniello, Federico Calamita, Rino Goller, Maurizio Barazzuol
, Farid Melgani
:
Vision System for Automatic On-Tree Kiwifruit Counting and Yield Estimation. Sensors 20(15): 4214 (2020) - [j86]Rachid Hedjam
, Abdelhamid Abdesselam
, Farid Melgani:
Change Detection in Unlabeled Optical Remote Sensing Data Using Siamese CNN. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 13: 4178-4187 (2020) - [j85]Genc Hoxha
, Farid Melgani
, Begüm Demir
:
Toward Remote Sensing Image Retrieval Under a Deep Image Captioning Perspective. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 13: 4462-4475 (2020) - [j84]Youyou Li, Farid Melgani
, Binbin He
:
CSVM Architectures for Pixel-Wise Object Detection in High-Resolution Remote Sensing Images. IEEE Trans. Geosci. Remote. Sens. 58(9): 6059-6070 (2020) - [c61]Genc Hoxha
, Farid Melgani:
Remote Sensing Image Captioning with SVM-Based Decoding. IGARSS 2020: 6734-6737 - [i1]Umut Özkaya, Saban Öztürk, Serkan Budak, Farid Melgani, Kemal Polat:
Classification of COVID-19 in Chest CT Images using Convolutional Support Vector Machines. CoRR abs/2011.05746 (2020)
2010 – 2019
- 2019
- [j83]Rim Trabelsi
, Issam Jabri, Farid Melgani, Fethi Smach, Nicola Conci
, Ammar Bouallegue:
Indoor object recognition in RGBD images with complex-valued neural networks for visually-impaired people. Neurocomputing 330: 94-103 (2019) - [j82]Shounak Chakraborty
, Moumita Roy
, Farid Melgani
:
Semisupervised Two-Level Fusion-Based Autoencoded Approach for Low-Cost Domain Adaptation of Remotely Sensed Images. IEEE Geosci. Remote. Sens. Lett. 16(7): 1041-1045 (2019) - [j81]Céline Danilo
, Farid Melgani
:
High-Coverage Satellite-Based Coastal Bathymetry through a Fusion of Physical and Learning Methods. Remote. Sens. 11(4): 376 (2019) - [j80]Prajowal Manandhar
, Prashanth Reddy Marpu
, Zeyar Aung
, Farid Melgani:
Towards Automatic Extraction and Updating of VGI-Based Road Networks Using Deep Learning. Remote. Sens. 11(9): 1012 (2019) - [j79]Mesay Belete Bejiga, Farid Melgani, Pietro Beraldini:
Domain Adversarial Neural Networks for Large-Scale Land Cover Classification. Remote. Sens. 11(10): 1153 (2019) - [j78]Mohamed Lamine Mekhalfi, Mesay Belete Bejiga, Davide Soresina, Farid Melgani, Begüm Demir
:
Capsule Networks for Object Detection in UAV Imagery. Remote. Sens. 11(14): 1694 (2019) - [j77]Mesay Belete Bejiga, Farid Melgani
, Antonio Vascotto:
Retro-Remote Sensing: Generating Images From Ancient Texts. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 12(3): 950-960 (2019) - [c60]Gabriele Cavallaro
, Yakoub Bazi, Farid Melgani, Morris Riedel:
Multi-Scale Convolutional SVM Networks for Multi-Class Classification Problems of Remote Sensing Images. IGARSS 2019: 875-878 - [c59]Rachid Hedjam, Abdelhamid Abdesselam
, Farid Melgani:
Change Detection from Unlabeled Remote Sensing Images Using SIAMESE ANN. IGARSS 2019: 1530-1533 - [c58]Youyou Li, Farid Melgani, Binbin He:
Fully Convolutional SVM for Car Detection In Uav Imagery. IGARSS 2019: 2451-2454 - [c57]Genc Hoxha
, Farid Melgani, Begüm Demir:
Retrieving Images with Generated Textual Descriptions. IGARSS 2019: 5812-5815 - [c56]Mesay Belete Bejiga, Farid Melgani:
Towards Generating Remote Sensing Images of the Far Past. IGARSS 2019: 9502-9505 - 2018
- [j76]Abdallah Zeggada, Souad Benbraika, Farid Melgani
, Zouhir Mokhtari:
Multilabel Conditional Random Field Classification for UAV Images. IEEE Geosci. Remote. Sens. Lett. 15(3): 399-403 (2018) - [j75]Salim Malek
, Farid Melgani
, Yakoub Bazi
, Naif Alajlan
:
Reconstructing Cloud-Contaminated Multispectral Images With Contextualized Autoencoder Neural Networks. IEEE Trans. Geosci. Remote. Sens. 56(4): 2270-2282 (2018) - [j74]Yakoub Bazi
, Farid Melgani
:
Convolutional SVM Networks for Object Detection in UAV Imagery. IEEE Trans. Geosci. Remote. Sens. 56(6): 3107-3118 (2018) - [j73]Satoru Koda
, Abdallah Zeggada, Farid Melgani
, Ryuei Nishii
:
Spatial and Structured SVM for Multilabel Image Classification. IEEE Trans. Geosci. Remote. Sens. 56(10): 5948-5960 (2018) - [j72]Kashif Ahmad
, Mohamed Lamine Mekhalfi
, Nicola Conci
, Farid Melgani, Francesco G. B. De Natale:
Ensemble of Deep Models for Event Recognition. ACM Trans. Multim. Comput. Commun. Appl. 14(2): 51:1-51:20 (2018) - [c55]Mesay Belete Bejiga, Farid Melgani:
Gan-Based Domain Adaptation for Object Classification. IGARSS 2018: 1264-1267 - [c54]Mesay Belete Bejiga, Farid Melgani:
An Adversarial Approach to Cross-Sensor Hyperspectral Data Classification. IGARSS 2018: 3575-3578 - 2017
- [j71]Mohamed Lamine Mekhalfi
, Farid Melgani, Yakoub Bazi, Naif Alajlan
:
Fast indoor scene description for blind people with multiresolution random projections. J. Vis. Commun. Image Represent. 44: 95-105 (2017) - [j70]Abdallah Zeggada, Farid Melgani
, Yakoub Bazi
:
A Deep Learning Approach to UAV Image Multilabeling. IEEE Geosci. Remote. Sens. Lett. 14(5): 694-698 (2017) - [j69]Mesay Belete Bejiga, Abdallah Zeggada, Abdelhamid Nouffidj, Farid Melgani
:
A Convolutional Neural Network Approach for Assisting Avalanche Search and Rescue Operations with UAV Imagery. Remote. Sens. 9(2): 100 (2017) - [j68]Salim Malek
, Farid Melgani
, Mohamed Lamine Mekhalfi, Yakoub Bazi
:
Real-Time Indoor Scene Description for the Visually Impaired Using Autoencoder Fusion Strategies with Visible Cameras. Sensors 17(11): 2641 (2017) - [j67]Essam Othman, Yakoub Bazi
, Farid Melgani
, Haikel Al-Hichri
, Naif Alajlan
, Mansour Zuair:
Domain Adaptation Network for Cross-Scene Classification. IEEE Trans. Geosci. Remote. Sens. 55(8): 4441-4456 (2017) - [c53]Kashif Ahmad
, Mohamed Lamine Mekhalfi
, Nicola Conci
, Giulia Boato, Farid Melgani, Francesco G. B. De Natale:
A pool of deep models for event recognition. ICIP 2017: 2886-2890 - [c52]Salim Malek
, Farid Melgani:
Autoencoding approach to the cloud removal problem. IGARSS 2017: 4848-4850 - [c51]Abdallah Zeggada, Alessandro Stella, Gennaro Caliendo, Farid Melgani, Maurizio Barazzuol, Nicola La Porta
, Rino Goller:
Leaf development index estimation using UAV imagery for fighting apple scab. IGARSS 2017: 5838-5841 - [c50]Abdallah Zeggada, Farid Melgani:
Multilabeling UAV images with Autoencoder networks. JURSE 2017: 1-4 - [c49]Rim Trabelsi
, Issam Jabri, Farid Melgani, Fethi Smach, Nicola Conci
, Ammar Bouallegue:
Complex-Valued Representation for RGB-D Object Recognition. PSIVT 2017: 17-27 - 2016
- [j66]Mohamed Lamine Mekhalfi, Farid Melgani, Abdallah Zeggada, Francesco G. B. De Natale, Mohammed A.-M. Salem
, Alaa M. Khamis
:
Recovering the sight to blind people in indoor environments with smart technologies. Expert Syst. Appl. 46: 129-138 (2016) - [j65]Mohamad Mahmoud Al Rahhal
, Yakoub Bazi
, Haikel Salem Alhichri
, Naif Alajlan
, Farid Melgani, Ronald R. Yager:
Deep learning approach for active classification of electrocardiogram signals. Inf. Sci. 345: 340-354 (2016) - [j64]Essam Othman, Yakoub Bazi
, Naif Alajlan
, Haikel Al-Hichri
, Farid Melgani:
Three-Layer Convex Network for Domain Adaptation in Multitemporal VHR Images. IEEE Geosci. Remote. Sens. Lett. 13(3): 354-358 (2016) - [j63]Céline Danilo
, Farid Melgani:
Wave Period and Coastal Bathymetry Using Wave Propagation on Optical Images. IEEE Trans. Geosci. Remote. Sens. 54(11): 6307-6319 (2016) - [c48]Mesay Belete Bejiga, Abdallah Zeggada, Farid Melgani:
Convolutional neural networks for near real-time object detection from UAV imagery in avalanche search and rescue operations. IGARSS 2016: 693-696 - [c47]Céline Danilo
, Farid Melgani:
Adaptive wave tracing for coastal bathymetry estimation. IGARSS 2016: 2480-2483 - [c46]Abdallah Zeggada, Farid Melgani:
Multilabel classification of UAV images with Convolutional Neural Networks. IGARSS 2016: 5083-5086 - 2015
- [j62]Mohamad Mahmoud Al Rahhal
, Yakoub Bazi
, Naif Alajlan
, Salim Malek
, Haikel Al-Hichri
, Farid Melgani, Mansour Abdulaziz Al Zuair:
Classification of AAMI heartbeat classes with an interactive ELM ensemble learning approach. Biomed. Signal Process. Control. 19: 56-67 (2015) - [j61]Edoardo Pasolli
, Farid Melgani:
Genetic algorithm-based method for mitigating label noise issue in ECG signal classification. Biomed. Signal Process. Control. 19: 130-136 (2015) - [j60]Mohamed Lamine Mekhalfi, Farid Melgani, Yakoub Bazi
, Naif Alajlan
:
Toward an assisted indoor scene perception for blind people with image multilabeling strategies. Expert Syst. Appl. 42(6): 2907-2918 (2015) - [j59]Mohamed Abdelkader Bencherif, Yakoub Bazi
, Abderrezak Guessoum, Naif Alajlan
, Farid Melgani, Haikel Salem Alhichri
:
Fusion of Extreme Learning Machine and Graph-Based Optimization Methods for Active Classification of Remote Sensing Images. IEEE Geosci. Remote. Sens. Lett. 12(3): 527-531 (2015) - [j58]Moumita Roy
, Farid Melgani, Ashish Ghosh
, Enrico Blanzieri
, Susmita Ghosh
:
Land-Cover Classification of Remotely Sensed Images Using Compressive Sensing Having Severe Scarcity of Labeled Patterns. IEEE Geosci. Remote. Sens. Lett. 12(6): 1257-1261 (2015) - [j57]Mohamed Lamine Mekhalfi, Farid Melgani, Yakoub Bazi
, Naif Alajlan
:
Land-Use Classification With Compressive Sensing Multifeature Fusion. IEEE Geosci. Remote. Sens. Lett. 12(10): 2155-2159 (2015) - [j56]Mohamed Lamine Mekhalfi, Farid Melgani, Yakoub Bazi
, Naif Alajlan
:
A Compressive Sensing Approach to Describe Indoor Scenes for Blind People. IEEE Trans. Circuits Syst. Video Technol. 25(7): 1246-1257 (2015) - [j55]Thomas Moranduzzo, Farid Melgani, Mohamed Lamine Mekhalfi, Yakoub Bazi
, Naif Alajlan
:
Multiclass Coarse Analysis for UAV Imagery. IEEE Trans. Geosci. Remote. Sens. 53(12): 6394-6406 (2015) - [c45]Thomas Moranduzzo, Mohamed Lamine Mekhalfi
, Farid Melgani:
LBP-based multiclass classification method for UAV imagery. IGARSS 2015: 2362-2365 - [c44]Mohamed Lamine Mekhalfi
, Farid Melgani:
Sparse modeling of the land use classification problem. IGARSS 2015: 3727-3730 - [c43]Thomas Moranduzzo, Abdallah Zeggada, Farid Melgani:
A fast screening method for detecting cars in UAV images over urban areas. JURSE 2015: 1-4 - 2014
- [j54]Naif Alajlan
, Edoardo Pasolli
, Farid Melgani, Andrea Franzoso:
Large-Scale Image Classification Using Active Learning. IEEE Geosci. Remote. Sens. Lett. 11(1): 259-263 (2014) - [j53]Yakoub Bazi
, Naif Alajlan
, Farid Melgani, Haikel Hichri
, Salim Malek
, Ronald R. Yager:
Differential Evolution Extreme Learning Machine for the Classification of Hyperspectral Images. IEEE Geosci. Remote. Sens. Lett. 11(6): 1066-1070 (2014) - [j52]Naif Alajlan
, Yakoub Bazi
, Farid Melgani, Salim Malek
, Mohamed Abdelkader Bencherif:
Detection of premature ventricular contraction arrhythmias in electrocardiogram signals with kernel methods. Signal Image Video Process. 8(5): 931-942 (2014) - [j51]Yakoub Bazi
, Naif Alajlan
, Farid Melgani, Haikel Al-Hichri
, Ronald R. Yager:
Robust Estimation of Water Chlorophyll Concentrations With Gaussian Process Regression and IOWA Aggregation Operators. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 7(7): 3019-3028 (2014) - [j50]Salim Malek
, Yakoub Bazi
, Naif Alajlan
, Haikel Al-Hichri
, Farid Melgani:
Efficient Framework for Palm Tree Detection in UAV Images. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 7(12): 4692-4703 (2014) - [j49]Thomas Moranduzzo, Farid Melgani:
Automatic Car Counting Method for Unmanned Aerial Vehicle Images. IEEE Trans. Geosci. Remote. Sens. 52(3): 1635-1647 (2014) - [j48]Edoardo Pasolli
, Farid Melgani, Devis Tuia
, Fabio Pacifici, William J. Emery:
SVM Active Learning Approach for Image Classification Using Spatial Information. IEEE Trans. Geosci. Remote. Sens. 52(4): 2217-2233 (2014) - [j47]Thomas Moranduzzo, Farid Melgani:
Detecting Cars in UAV Images With a Catalog-Based Approach. IEEE Trans. Geosci. Remote. Sens. 52(10): 6356-6367 (2014) - [c42]Thomas Moranduzzo, Farid Melgani:
Car speed estimation method for UAV images. IGARSS 2014: 4942-4945 - [c41]Thomas Moranduzzo, Farid Melgani:
Monitoring structural damages in big industrial plants with UAV images. IGARSS 2014: 4950-4953 - 2013
- [j46]Luca Lorenzi, Grégoire Mercier, Farid Melgani:
Support Vector Regression With Kernel Combination for Missing Data Reconstruction. IEEE Geosci. Remote. Sens. Lett. 10(2): 367-371 (2013) - [j45]Abdelhamid Daamouche
, Farid Melgani, Naif Alajlan
, Nicola Conci
:
Swarm Optimization of Structuring Elements for VHR Image Classification. IEEE Geosci. Remote. Sens. Lett. 10(6): 1334-1338 (2013) - [j44]Naif Alajlan
, Yakoub Bazi
, Haikel Salem Alhichri
, Farid Melgani, Ronald R. Yager:
Using OWA Fusion Operators for the Classification of Hyperspectral Images. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 6(2-2): 602-614 (2013) - [j43]Luca Lorenzi, Farid Melgani, Grégoire Mercier, Yakoub Bazi
:
Assessing the Reconstructability of Shadow Areas in VHR Images. IEEE Trans. Geosci. Remote. Sens. 51(5-1): 2863-2873 (2013) - [j42]Edoardo Pasolli
, Farid Melgani, Naif Alajlan
, Nicola Conci
:
Optical Image Classification: A Ground-Truth Design Framework. IEEE Trans. Geosci. Remote. Sens. 51(6-2): 3580-3597 (2013) - [j41]Luca Lorenzi, Farid Melgani, Grégoire Mercier:
Missing-Area Reconstruction in Multispectral Images Under a Compressive Sensing Perspective. IEEE Trans. Geosci. Remote. Sens. 51(7-1): 3998-4008 (2013) - [c40]Thomas Moranduzzo, Farid Melgani:
Comparison of different feature detectors and descriptors for car classification in UAV images. IGARSS 2013: 204-207 - [c39]Luca Lorenzi, Grégoire Mercier, Farid Melgani:
Adaptive basis pursuit compressive sensing reconstruction with histogram matching. IGARSS 2013: 872-875 - [c38]Luca Lorenzi, Farid Melgani, Grégoire Mercier:
Contextual genetic algorithm for compressive sensing reconstruction of VHR images. IGARSS 2013: 4150-4153 - 2012
- [j40]Abdelhamid Daamouche
, Latifa Hamami, Naif Alajlan
, Farid Melgani:
A wavelet optimization approach for ECG signal classification. Biomed. Signal Process. Control. 7(4): 342-349 (2012) - [j39]Naif Alajlan
, Yakoub Bazi
, Farid Melgani, Ronald R. Yager:
Fusion of supervised and unsupervised learning for improved classification of hyperspectral images. Inf. Sci. 217: 39-55 (2012) - [j38]Yakoub Bazi
, Naif Alajlan
, Farid Melgani:
Improved Estimation of Water Chlorophyll Concentration With Semisupervised Gaussian Process Regression. IEEE Trans. Geosci. Remote. Sens. 50(7): 2733-2743 (2012) - [j37]Luca Lorenzi, Farid Melgani, Grégoire Mercier:
A Complete Processing Chain for Shadow Detection and Reconstruction in VHR Images. IEEE Trans. Geosci. Remote. Sens. 50(9): 3440-3452 (2012) - [j36]Edoardo Pasolli
, Farid Melgani, Naif Alajlan
, Yakoub Bazi
:
Active Learning Methods for Biophysical Parameter Estimation. IEEE Trans. Geosci. Remote. Sens. 50(10): 4071-4084 (2012) - [c37]Luca Lorenzi, Farid Melgani, Grégoire Mercier:
Orthogonal matching pursuit for VHR image reconstruction. IGARSS 2012: 3497-3500 - [c36]Luca Lorenzi, Farid Melgani, Grégoire Mercier:
Some criteria to assess the reconstructability of shadow areas. IGARSS 2012: 4359-4362 - [c35]Edoardo Pasolli
, Farid Melgani:
An approach for classifying large scale images. IGARSS 2012: 5410-5413 - [c34]Thomas Moranduzzo, Farid Melgani:
A SIFT-SVM method for detecting cars in UAV images. IGARSS 2012: 6868-6871 - [c33]Fouzi Douak
, Farid Melgani, Edoardo Pasolli
, Nabil Benoudjit:
SVR active learning for product quality control. ISSPA 2012: 1113-1117 - 2011
- [j35]Edoardo Pasolli
, Farid Melgani, Yakoub Bazi
:
Support Vector Machine Active Learning Through Significance Space Construction. IEEE Geosci. Remote. Sens. Lett. 8(3): 431-435 (2011) - [j34]Luca Lorenzi, Farid Melgani, Grégoire Mercier:
Inpainting Strategies for Reconstruction of Missing Data in VHR Images. IEEE Geosci. Remote. Sens. Lett. 8(5): 914-918 (2011) - [c32]Luca Lorenzi, Farid Melgani, Grégoire Mercier:
Multiresolution inpainting for reconstruction of missing data in VHR images. IGARSS 2011: 531-534 - [c31]Edoardo Pasolli
, Farid Melgani:
Ground-truth assisted design for remote sensing image classification. IGARSS 2011: 609-612 - [c30]Edoardo Pasolli
, Farid Melgani:
Gaussian process regression within an active learning scheme. IGARSS 2011: 3574-3577 - [c29]Edoardo Pasolli
, Farid Melgani, Devis Tuia
, Fabio Pacifici, William J. Emery
:
Improving active learning methods using spatial information. IGARSS 2011: 3923-3926 - 2010
- [j33]Edoardo Pasolli
, Farid Melgani, Massimo Donelli
:
Gaussian Process Approach to Buried Object Size Estimation in GPR Images. IEEE Geosci. Remote. Sens. Lett. 7(1): 141-145 (2010) - [j32]Luca Pasolli, Farid Melgani, Enrico Blanzieri
:
Gaussian Process Regression for Estimating Chlorophyll Concentration in Subsurface Waters From Remote Sensing Data. IEEE Geosci. Remote. Sens. Lett. 7(3): 464-468 (2010) - [j31]Yakoub Bazi
, Farid Melgani:
Gaussian Process Approach to Remote Sensing Image Classification. IEEE Trans. Geosci. Remote. Sens. 48(1-1): 186-197 (2010) - [j30]Yakoub Bazi
, Farid Melgani, Hamed D. Al-Sharari:
Unsupervised Change Detection in Multispectral Remotely Sensed Imagery With Level Set Methods. IEEE Trans. Geosci. Remote. Sens. 48(8): 3178-3187 (2010) - [j29]Edoardo Pasolli
, Farid Melgani:
Active Learning Methods for Electrocardiographic Signal Classification. IEEE Trans. Inf. Technol. Biomed. 14(6): 1405-1416 (2010) - [c28]Edoardo Pasolli
, Farid Melgani:
Model-based active learning for SVM classification of remote sensing images. IGARSS 2010: 820-823 - [c27]Yakoub Bazi
, Farid Melgani:
Semisupervised Gaussian process regression for biophysical parameter estimation. IGARSS 2010: 4248-4251
2000 – 2009
- 2009
- [j28]Abdelhamid Daamouche
, Farid Melgani:
Swarm Intelligence Approach to Wavelet Design for Hyperspectral Image Classification. IEEE Geosci. Remote. Sens. Lett. 6(4): 825-829 (2009) - [j27]Noureddine Ghoggali, Farid Melgani, Yakoub Bazi
:
A Multiobjective Genetic SVM Approach for Classification Problems With Limited Training Samples. IEEE Trans. Geosci. Remote. Sens. 47(6): 1707-1718 (2009) - [j26]Noureddine Ghoggali, Farid Melgani:
Automatic Ground-Truth Validation With Genetic Algorithms for Multispectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 47(7-2): 2172-2181 (2009) - [j25]Edoardo Pasolli
, Farid Melgani, Massimo Donelli
:
Automatic Analysis of GPR Images: A Pattern-Recognition Approach. IEEE Trans. Geosci. Remote. Sens. 47(7-2): 2206-2217 (2009) - [j24]Andrea Paoli
, Farid Melgani, Edoardo Pasolli
:
Clustering of Hyperspectral Images Based on Multiobjective Particle Swarm Optimization. IEEE Trans. Geosci. Remote. Sens. 47(12-2): 4175-4188 (2009) - [c26]Andrea Paoli
, Farid Melgani, Edoardo Pasolli
:
Swarm Intelligence for Unsupervised Classification of Hyperspectral Images. IGARSS (5) 2009: 96-99 - [c25]Yakoub Bazi
, Farid Melgani, Hamed D. Al-Sharari:
An Automatic Method for Counting Olive Trees in Very High Spatial Remote Sensing Images. IGARSS (2) 2009: 125-128 - [c24]Abdelhamid Daamouche
, Farid Melgani, Latifa Hamami:
Optimizing Wavelets for Hyperspectral Image Classification. IGARSS (2) 2009: 302-305 - [c23]Edoardo Pasolli
, Farid Melgani, Massimo Donelli
:
A Pattern Recognition System for Extracting Buried Object Characteristics in GPR Images. IGARSS (4) 2009: 430-433 - [c22]Yakoub Bazi
, Farid Melgani:
A Variational Level-set Method for Unsupervised Change Detection in Remote Sensing Images. IGARSS (2) 2009: 984-987 - 2008
- [j23]Souad Benabdelkader, Farid Melgani:
Contextual Spatiospectral Postreconstruction of Cloud-Contaminated Images. IEEE Geosci. Remote. Sens. Lett. 5(2): 204-208 (2008) - [j22]Noureddine Ghoggali, Farid Melgani:
Genetic SVM Approach to Semisupervised Multitemporal Classification. IEEE Geosci. Remote. Sens. Lett. 5(2): 212-216 (2008) - [j21]Enrico Blanzieri
, Farid Melgani:
Nearest Neighbor Classification of Remote Sensing Images With the Maximal Margin Principle. IEEE Trans. Geosci. Remote. Sens. 46(6): 1804-1811 (2008) - [j20]Farid Melgani, Yakoub Bazi
:
Classification of Electrocardiogram Signals With Support Vector Machines and Particle Swarm Optimization. IEEE Trans. Inf. Technol. Biomed. 12(5): 667-677 (2008) - [c21]Farid Melgani, Yakoub Bazi:
Evolutionary Computation Approach to ECG Signal Classification. BIOSIGNALS (1) 2008: 19-24 - [c20]Caitang Sun, Farid Melgani, Chunguang Zhou, Francesco G. B. De Natale, Libiao Zhang, Xiangdong Liu:
Semi-Supervised Learning Based Color Iris Recognition. ICNC (4) 2008: 242-249 - [c19]Edoardo Pasolli
, Farid Melgani, Massimo Donelli
, Redha Attoui, Mariette de Vos:
Automatic Detection and Classification of Buried Objects in GPR Images Using Genetic Algorithms and Support Vector Machines. IGARSS (2) 2008: 525-528 - [c18]Noureddine Ghoggali, Farid Melgani:
A Genetic Automatic Ground-Truth Validation Method for Multispectral Remote Sensing Images. IGARSS (4) 2008: 538-541 - [c17]Luca Pasolli, Farid Melgani, Enrico Blanzieri
:
Estimating Biophysical Parameters from Remotely Sensed Imagery with Gaussian Processes. IGARSS (2) 2008: 851-854 - [c16]Yakoub Bazi
, Farid Melgani:
Classification of Hyperspectral Remote Sensing Images Using Gaussian Processes. IGARSS (2) 2008: 1013-1016 - 2007
- [j19]Yakoub Bazi
, Lorenzo Bruzzone
, Farid Melgani:
Image thresholding based on the EM algorithm and the generalized Gaussian distribution. Pattern Recognit. 40(2): 619-634 (2007) - [j18]Yakoub Bazi
, Farid Melgani:
Semisupervised PSO-SVM Regression for Biophysical Parameter Estimation. IEEE Trans. Geosci. Remote. Sens. 45(6-2): 1887-1895 (2007) - [c15]Souad Benabdelkader, Farid Melgani, Mohammed Boulemden:
Cloud-contaminated image reconstruction with contextual spatio-spectral information. IGARSS 2007: 373-376 - [c14]Noureddine Ghoggali, Farid Melgani:
Semi-supervised multitemporal classification with support vector machines and genetic algorithms. IGARSS 2007: 2577-2580 - [c13]Yakoub Bazi
, Farid Melgani:
A multiobjective PSO inflation methodology for SVM regression with limited training samples. IGARSS 2007: 4360-4363 - 2006
- [j17]Farid Melgani:
Robust image binarization with ensembles of thresholding algorithms. J. Electronic Imaging 15(2): 023010 (2006) - [j16]Gustavo Camps-Valls
, Lorenzo Bruzzone
, José Luis Rojo-Álvarez
, Farid Melgani:
Robust support vector regression for biophysical variable estimation from remotely sensed images. IEEE Geosci. Remote. Sens. Lett. 3(3): 339-343 (2006) - [j15]Yakoub Bazi
, Lorenzo Bruzzone
, Farid Melgani:
Automatic identification of the number and values of decision thresholds in the log-ratio image for change detection in SAR images. IEEE Geosci. Remote. Sens. Lett. 3(3): 349-353 (2006) - [j14]Farid Melgani, Yakoub Bazi
:
Markovian Fusion Approach to Robust Unsupervised Change Detection in Remotely Sensed Imagery. IEEE Geosci. Remote. Sens. Lett. 3(4): 457-461 (2006) - [j13]Alessandro M. Palau, Farid Melgani, Sebastiano B. Serpico:
Cell algorithms with data inflation for non-parametric classification. Pattern Recognit. Lett. 27(7): 781-790 (2006) - [j12]Giulia Boato, Francesco G. B. De Natale, Claudio Fontanari, Farid Melgani:
Hierarchical ownership and deterministic watermarking of digital images via polynomial interpolation. Signal Process. Image Commun. 21(7): 573-585 (2006) - [j11]Farid Melgani:
Contextual reconstruction of cloud-contaminated multitemporal multispectral images. IEEE Trans. Geosci. Remote. Sens. 44(2): 442-455 (2006) - [j10]Yakoub Bazi
, Farid Melgani:
Toward an Optimal SVM Classification System for Hyperspectral Remote Sensing Images. IEEE Trans. Geosci. Remote. Sens. 44(11-2): 3374-3385 (2006) - [c12]Farid Melgani, Yakoub Bazi
:
Robust Unsupervised Change Detection with Markov Random Fields. IGARSS 2006: 208-211 - 2005
- [j9]Lorenzo Bruzzone
, Farid Melgani:
Robust multiple estimator systems for the analysis of biophysical parameters from remotely sensed data. IEEE Trans. Geosci. Remote. Sens. 43(1): 159-174 (2005) - [j8]Yakoub Bazi
, Lorenzo Bruzzone
, Farid Melgani:
An unsupervised approach based on the generalized Gaussian model to automatic change detection in multitemporal SAR images. IEEE Trans. Geosci. Remote. Sens. 43(4): 874-887 (2005) - [c11]Giulia Boato, Claudio Fontanari, Farid Melgani:
Hierarchical deterministic image watermarking via polynomial interpolation. ICIP (1) 2005: 229-232 - [c10]Farid Melgani, Redha Benzid:
A near-lossless spread spectrum watermarking technique for remote sensing imagery. IGARSS 2005: 3231-3234 - [c9]Farid Melgani:
Reconstruction of cloud-contaminated multitemporal optical images with a contextual prediction method. IGARSS 2005: 4248-4251 - 2004
- [j7]Farid Melgani:
Classification Of Multitemporal Remote-Sensing Images By A Fuzzy Fusion Of Spectral And Spatio-Temporal Contextual Information. Int. J. Pattern Recognit. Artif. Intell. 18(2): 143-156 (2004) - [j6]Farid Melgani, Lorenzo Bruzzone
:
Classification of hyperspectral remote sensing images with support vector machines. IEEE Trans. Geosci. Remote. Sens. 42(8): 1778-1790 (2004) - [c8]Yakoub Bazi, Lorenzo Bruzzone, Farid Melgani:
An approach to unsupervised change detection in multitemporal SAR images based on the Generalized Gaussian distribution. IGARSS 2004: 1402-1405 - [c7]Lorenzo Bruzzone, Lorenzo Carlin, Farid Melgani:
A multilevel hierarchical approach to classification of high spatial resolution images with support vector machines. IGARSS 2004 - [c6]Farid Melgani, Lorenzo Bruzzone:
Estimation of biophysical parameters from optical remote-sensing images with high-order residues. IGARSS 2004: 1479-1482 - 2003
- [j5]Farid Melgani, Sebastiano B. Serpico, Gianni Vernazza:
Fusion of multitemporal contextual information by neural networks for multisensor remote sensing image classification. Integr. Comput. Aided Eng. 10(1): 81-90 (2003) - [j4]Farid Melgani, Sebastiano B. Serpico:
A Markov random field approach to spatio-temporal contextual image classification. IEEE Trans. Geosci. Remote. Sens. 41(11): 2478-2487 (2003) - [c5]Farid Melgani, Lorenzo Bruzzone:
A residual-based technique for the estimation of biophysical parameters from remote-sensing images. IGARSS 2003: 476-478 - [c4]Lorenzo Bruzzone, Farid Melgani:
A data fusion approach to unsupervised change detection. IGARSS 2003: 1374-1376 - [c3]Lorenzo Bruzzone, Farid Melgani:
An advanced classification system based on the back-propagation of consensus. IGARSS 2003: 1785-1787 - 2002
- [j3]Farid Melgani, Sebastiano B. Serpico:
A statistical approach to the fusion of spectral and spatio-temporal contextual information for the classification of remote-sensing images. Pattern Recognit. Lett. 23(9): 1053-1061 (2002) - [j2]Mihai Datcu, Farid Melgani, Andrea Piardi, Sebastiano B. Serpico:
Multisource data classification with dependence trees. IEEE Trans. Geosci. Remote. Sens. 40(3): 609-617 (2002) - [c2]Gabriele Moser, Farid Melgani, Sebastiano Bruno Serpico, A. Caruso:
Partially supervised detection of changes from remote sensing images. IGARSS 2002: 299-301 - [c1]Farid Melgani, Lorenzo Bruzzone:
Support vector machines for classification of hyperspectral remote-sensing images. IGARSS 2002: 506-508 - 2000
- [j1]Farid Melgani, Bakir A. R. Al Hashemy, Saleem M. R. Taha:
An explicit fuzzy supervised classification method for multispectral remote sensing images. IEEE Trans. Geosci. Remote. Sens. 38(1): 287-295 (2000)
Coauthor Index
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