36 citations · 86 across the 8 of their papers we have counts for
8 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…
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…
Hyperspectral images classification and Dimensionality Reduction using Homogeneity feature and mutual information
Hasna Nhaila, Maria Merzouqi, Elkebir Sarhrouni +1
The Hyperspectral image (HSI) contains several hundred bands of the same region called the Ground Truth (GT). The bands are taken in juxtaposed frequencies, but some of them are no…
A Survey on Fundamental Concepts and Practical Challenges of Hyperspectral images
Hasna Nhaila, Elkebir Sarhrouni, Ahmed Hammouch
The Remote sensing provides a synoptic view of land by detecting the energy reflected from Earth's surface. The Hyperspectral images (HSI) use perfect sensors that extract more tha…
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…