Dimensionality reduction is an important preprocessing step of the
hyper...
The high dimensionality of hyperspectral images often imposes a heavy
co...
Over the past decades, the hyperspectral remote sensing technology
devel...
Band selection is a great challenging task in the classification of
hype...
Nowadays, the hyperspectral remote sensing imagery HSI becomes an import...
Recently, the hyperspectral sensors have improved our ability to monitor...
The high dimensionality of hyperspectral images (HSI) that contains more...
The Hyperspectral image (HSI) contains several hundred bands of the same...
The Remote sensing provides a synoptic view of land by detecting the ene...
Feature selection is one of the most important problems in hyperspectral...
During the last decade, hyperspectral images have attracted increasing
i...
In the feature classification domain, the choice of data affects widely ...
Remote sensing is a higher technology to produce knowledge for data mini...
Hyperspectral images (HSI) classification is a high technical remote sen...
Remote sensing is a technology to acquire data for disatant substances,
...
In the feature classification domain, the choice of data affects widely ...
Hyperspectral image is a substitution of more than a hundred images, cal...
Hyperspectral images (HIS) classification is a high technical remote sen...