Long-wave infrared (LWIR) hyperspectral imaging sensors are widely used for the detection and identification of released chemical agents in many civilian and military applications. Current hyperspectral system capabilities are limited by variation in the background clutter as opposed to the physics of photon detection. Hence, the development of statistical models for background clutter and opti...

Hyperspectral imaging (HSI) is a non-invasive optical imaging modality that shows the potential to aid pathologists in breast cancer diagnoses cases. In this study, breast cancer tissues from different patients were imaged by a hyperspectral system to detect spectral differences between normal and breast cancer tissues. Tissue samples mounted on slides were identified from 10 different patients...

Hyperspectral imagery has proven its potential in many research applications, especially in the field of environmental sciences. Currently, hyperspectral imaging is generally performed by satellite or aircraft platforms, but mini-UAV (Unmanned Aerial Vehicle) platforms (<20 kg) are now emerging. On such platforms, payload restrictions are critical, so sensors must be selected according to strin...

T HE very high spectral resolution of remotely sensed hyperspectral data [1], rooted in technological, modeling and processing advances, has fostered a strong interest in this image modality at an unprecedented rate in recent years. In fact, the very high spectral resolution of hyperspectral data offers very significant potential in the identification of materials and their properties [2]. Howe...

Hyperspectral remote sensing technique provides fine and detailed spectral information by contiguous and narrow spectral channels. For the traditional classification algorithms, most of them are based on spectral information; spatial information which is useful for the hyperspectral data analysis is paid a little attention to. So, hyperspectral image classification based on effective combinatio...

Imaging spectrometer data (also known as 'hyperspectral imagery' or HSI) are well established for detailed mineral mapping from airborne and satellite systems. Overhead data, however, have substantial additional potential when used together with ground-based measurements. An imaging spectrometer system was used to acquire airborne measurements and to image in-place outcrops (mine walls) and box...

Homogeneous band- or pixel-based feature selection, which exploits the difference between spectral spatial regions to select informative and low-redundant bands, has been extensively studied in classifying hyperspectral images (HSIs). Although many models have proven effective, they rarely simultaneously exploit homogeneous information, are beneficial extract potential low-dimensional character...