36 citations · 157 across the 19 of their papers we have counts for
20 papers
A new filter for dimensionality reduction and classification of hyperspectral images using GLCM features and mutual information
Hasna Nhaila, Elkebir Sarhrouni, Ahmed Hammouch
Dimensionality reduction is an important preprocessing step of the hyperspectral images classification (HSI), it is inevitable task. Some methods use feature selection or extractio…
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 Filter Approach for Band Selection and Classification of Hyperspectral Remotely Sensed Images Using Normalized Mutual Information and Support Vector Machines
Hasna Nhaila, Asma Elmaizi, Elkebir Sarhrouni +1
Band selection is a great challenging task in the classification of hyperspectral remotely sensed images HSI. This is resulting from its high spectral resolution, the many class ou…
Supervised classification methods applied to airborne hyperspectral images: Comparative study using mutual information
Hasna Nhaila, Asma Elmaizi, Elkebir Sarhrouni +1
Nowadays, the hyperspectral remote sensing imagery HSI becomes an important tool to observe the Earth's surface, detect the climatic changes and many other applications. The classi…
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…