36 citations · 79 across the 9 of their papers we have counts for
9 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 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…
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…
New wrapper method based on normalized mutual information for dimension reduction and classification of hyperspectral images
Hasna Nhaila, Asma Elmaizi, Elkebir Sarhrouni +1
Feature selection is one of the most important problems in hyperspectral images classification. It consists to choose the most informative bands from the entire set of input datase…
A Novel Approach for Dimensionality Reduction and Classification of Hyperspectral Images based on Normalized Synergy
Asma Elmaizi, Hasna Nhaila, Elkebir Sarhrouni +2
During the last decade, hyperspectral images have attracted increasing interest from researchers worldwide. They provide more detailed information about an observed area and allow…