36 citations · 52 across the 5 of their papers we have counts for
5 papers
Hybridization of filter and wrapper approaches for the dimensionality reduction and classification of hyperspectral images
Asma Elmaizi, Maria Merzouqi, Elkebir Sarhrouni +2
The high dimensionality of hyperspectral images often imposes a heavy computational burden for image processing. Therefore, dimensionality reduction is often an essential step in o…
Hyperspectral Images Classification and Dimensionality Reduction using spectral interaction and SVM classifier
Asma Elmaizi, Elkebir Sarhrouni, Ahmed Hammouch +1
Over the past decades, the hyperspectral remote sensing technology development has attracted growing interest among scientists in various domains. The rich and detailed spectral in…
A novel information gain-based approach for classification and dimensionality reduction of hyperspectral images
Asma Elmaizi, Hasna Nhaila, Elkebir Sarhrouni +2
Recently, the hyperspectral sensors have improved our ability to monitor the earth surface with high spectral resolution. However, the high dimensionality of spectral data brings c…
A new band selection approach based on information theory and support vector machine for hyperspectral images reduction and classification
A. Elmaizi, E. Sarhrouni, A. Hammouch +1
The high dimensionality of hyperspectral images consisting of several bands often imposes a big computational challenge for image processing. Therefore, spectral band selection is…
A novel filter based on three variables mutual information for dimensionality reduction and classification of hyperspectral images
Asma Elmaizi, Elkebir Sarhrouni, Ahmed hammouch +1
The high dimensionality of hyperspectral images (HSI) that contains more than hundred bands (images) for the same region called Ground Truth Map, often imposes a heavy computationa…