Hyperspectral images (HSIs) have a cube form containing spatial information in two
dimensions and rich spectral information in the third one. The high volume of spectral bands …

With the rapid development of spectral imaging techniques, classification of hyperspectral
images (HSIs) has attracted great attention in various applications such as land survey and …

Breast cancer is now considered as one of the leading causes of deaths among women all
over the world. Aiming to assist clinicians in improving the accuracy of diagnostic decisions …

Band selection is considered as a direct and effective method to reduce redundancy, which
is to select some informative and distinctive bands from the original hyperspectral image …

Hyperspectral sensors enable the study of the chemical properties of scene materials
remotely for the purpose of identification, detection, and chemical composition analysis of …

This paper proposes a Cascaded Random Forest (CRF) method, which can improve the
classification performance by means of combining two different enhancements into the …

Several studies have already demonstrated the efficiency of utilizing spatial information in
representation and interpretation of hyperspectral (HS) images. Texture and shape features …

Hyperspectral images contain tens to hundreds of bands, implying a high spectral
resolution. This high spectral resolution allows for obtaining a precise signature of structures …

A hyperspectral image (HSI) is a collection of several narrow-band images that span a wide
spectral range. Each band reflects the same scene, composed of various objects imaged at …

With hyperspectral sensor technology evolving and becoming more cost-effective, it is likely
we will see hyperspectral cameras replace standard RGB cameras in a multitude of …