| Anomaly detection in hyperspectral imagery: an overview MB Salem, KS Ettabaa, MA Hamdi International Image Processing, Applications and Systems Conference, 1-6, 2014 | 23 | 2014 |
| Adaptive progressive band selection for dimensionality reduction in hyperspectral images KS Ettabaa, MB Salem Journal of the Indian Society of Remote Sensing 46 (2), 157-167, 2018 | 20 | 2018 |
| Hyperspectral image feature selection for the fuzzy c-means spatial and spectral clustering MB Salem, KS Ettabaa, MS Bouhlel 2016 International Image Processing, Applications and Systems (IPAS), 1-5, 2016 | 17 | 2016 |
| Anomaly detection in hyperspectral imagery: an overview KS Ettabaa, MB Salem Environmental Information Systems: Concepts, Methodologies, Tools, and …, 2019 | 10 | 2019 |
| An Adaptive Spatial and Spectral Neighborhood for the Rx Anomaly Detector MB Salem, KS Ettabaa, MS Bouhlel IGARSS 2018-2018 IEEE International Geoscience and Remote Sensing Symposium …, 2018 | 5 | 2018 |
| An unsupervised classification approach for hyperspectral images based adaptive spatial and spectral neighborhood selection and graph clustering MB Salem, KS Ettabaa, MS Bouhlel Procedia computer science 126, 743-750, 2018 | 2 | 2018 |
| Hyperspectral image betweenness centrality clustering based adaptive spatial and spectral neighborhood approach for anomaly detection KS Ettabaa, MB Salem, MS Bouhlel Arabian Journal of Geosciences 10 (18), 412, 2017 | | 2017 |
| Anomaly det Anomaly detection in hyperspectral ection in hyperspectral imagery: an overview: an overview: an overview KS Ettabaâ, MB Salem | | |
