Search Results - "Saheb Ettabaa, Karim"

Adaptive Progressive Band Selection for Dimensionality Reduction in Hyperspectral Images by Saheb Ettabaa, Karim, Ben Salem, Manel

“…One of the challenging problems in processing high dimensional data, as hyperspectral images, with better spectral and temporal resolution is the computational…”
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Multi-Spectro-Temporal Analysis of Hyperspectral Imagery Based on 3-D Spectral Modeling and Multilinear Algebra by Hemissi, S., Farah, I. R., Saheb Ettabaa, Karim, Solaiman, B.

“…Multitemporal hyperspectral images are gaining an ever-increasing importance revealed by the ambition of the remote sensing community to develop new generation…”
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Hyperspectral image betweenness centrality clustering based adaptive spatial and spectral neighborhood approach for anomaly detection by Saheb Ettabaa, Karim, Ben Salem, Manel, Bouhlel, Med Salim

“…Segmentation-based anomaly detectors proceeds to the clustering of the hyperspectral image as a first step. However, most of the well-known clustering methods…”
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Ontology Knowledge Mining for Ontology Alignment by Idoudi, Rihab, Ettabaa, Karim Saheb, Solaiman, Basel, Hamrouni, Kamel

“…As the ontology alignment facilitates the knowledge exchange among the heterogeneous data sources, several methods have been introduced in literature…”
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Spatial Spectral Schroedinger Eigenmaps Approach Based on Spectral Angle Distance for Hyperspectral Imagery Classification by Fejjari, Asma, Saheb Ettabaa, Karim, Korbaa, Ouajdi

“…The Fast Spatial Spectral Schroedinger Eigenmaps (Fast SSSE) is a recent graph-based approach. It appears as a promising dimension reduction technique for…”
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High Level Mammographic Information Fusion For Real World Ontology Population by Ben Salem, Yosra, Idoudi, Rihab, Saheb Ettabaa, Karim, Hamrouni, Kamel, Solaiman, Basel

“…In this paper, we propose a novel approach for ontology instantiating from real data related to the mammographic domain. In our study, we are interested in…”
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Multiapproach System Based on Fusion of Multispectral Images for Land-Cover Classification by Farah, I.R., Boulila, W., Ettabaa, K.S., Ben Ahmed, M.

“…Satellite image classification is usually marked by several types of imperfection such as uncertainty, imprecision, and ignorance. Data fusion of additional…”
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Interpretation of Multisensor Remote Sensing Images: Multiapproach Fusion of Uncertain Information by Farah, I.R., Boulila, W., Ettabaa, K.S., Solaiman, B., Ben Ahmed, M.

“…Land cover interpretation using multisensor remote sensing images is an important task that allows the extraction of information that is useful for several…”
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Intrinsic Decomposition based Tensor Modeling Scheme for Hyperspectral Target Detection by FEJJARI, Asma, KORBAA, Ouajdi, SAHEB ETTABAA, Karim

“…Motivated by its capacity to process complex characteristics and deal with nonlinear problems, tensor decompositions have been also introduced, recently, to…”
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Multi-spectro temporal analysis of hyperspectrale imagery based on 3-D spectral modeling and multilinear algebra by Hemissi, Salim, Farah, Imed Riadh, Saheb Ettabaa, Karim, Solaiman, Basel

“…Multitemporal hyperspectral images are gaining an ever-increasing importance revealed by the ambition of the remote sensing community to develop new generation…”
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Semantic Strategic Satellite Image Retrieval by Messaoudi, W., Farah, I.R., ettabaa, K.s., Solaiman, B.

“…Large amounts of spatial data are becoming available today due to the rapid development of remote sensing techniques. Several retrieval systems are proposed to…”
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Interpretation of multisensor remote sensing images : multiapproach fusion of uncertain information by Farah, Imed Riadh, Boulila, Wadii, Saheb Ettabaa, Karim, Ben Ahmed, Mohamed, Solaiman, Basel

“…Land cover interpretation using multisensor remote sensing images is an important task that allows the extraction of information that is useful for several…”
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Modified Schroedinger Eigenmap Projections Algorithm for Hyperspectral Imagery Classification by Fejjari, Asma, Korbaa, Ouajdi, Ettabaa, Karim Saheb

“…Schroedinger Eigenmap Projections (SEP) is a well-established dimensionality reduction technique for hyperspectral images; it is the linear approximation of…”
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An Adaptive Spatial and Spectral Neighborhood for the Rx Anomaly Detector by Ben Salem, Manel, Saheb Ettabaa, Karim, BOUHLEL, Med Salim

“…The RX anomaly detector is the first and the most studied anomaly detector for hyperspectral images. Since its proposition by Reed and Yu, it showed promoting…”
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Anomaly detection in hyperspectral images based spatial spectral classification by Ben Salem, Manel, Ettabaa, Karim Saheb, Bouhlel, Med Salim

“…Anomaly detection in hyperspectral images aims at detecting small size objects of unknown spectra. The major problem with anomaly detection is the absence of…”
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Modified Convolutional Neural Network based on Adaptive Patch Extraction for Hyperspectral Image Classification by Hamouda, Maissa, Ettabaa, Karim Saheb, Salim Bouhlel, Med

“…Hyperspectral Imaging is a technology representing a scene via a large number of spectral bands. By increasing the amount of satellite information, the…”
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Hyperspectral image feature selection for the fuzzy c-means spatial and spectral clustering by Ben Salem, Manel, Ettabaa, Karim Saheb, Bouhlel, Med Salim

“…Hyperspectral image clustering is commonly applied for unsupervised classification. However, the clustering results of traditional methods are not sufficient…”
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Anomaly detection in hyperspectral imagery: an overview by Ben Salem, Manel, Ettabaa, Karim Saheb, Hamdi, Mohamed Ali

“…Interest on anomaly detection for hyperspectral images is increasingly growing the last decades due to the diversity of applications that aims for detecting…”
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Mammographie image based possibilistic ontological representation by Ben Salem, Yosra, Idoudi, Rihab, Ettabaa, Karim Saheb, Hamrouni, Kamel, Soleiman, Basel

“…This paper represents a novel approach for ontology modeling using the possibility theory. In one hand, ontology has become the enabler of knowledge exchange…”
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Fuzzy C-Mean for Unsupervised Spectral-Spatial SVM Classification of Hyperspectral Images by Ben Salem, Rafika, Hamdi, Mohamed Ali, Ettabaa, Karim Saheb

“…a new unsupervised spectral-spatial classification approach for hyperspectral images is proposed. The approach combines the results of various unsupervised…”
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