A low-cost, portable, video-camera system built by University of Bristol for the UK-DRA, Fort Halsteads, permits in-field acquisition of terrestrial hyper-spectral image sets. Each set is captured as a sequence of thirty-one images through a set of different interference filters which span

for industrial inspection, medical diagnoses, and military applications. Conventional supervised learning methods for hyperspectral images can be a feasible solution. Such approaches, however, require a priori information of a camouflaged object and background. This letter proposes a fully autonomous feature

Abstract—Hyperspectral cameras provide useful discriminants for human face recognition that cannot be obtained by other imaging methods. We examine the utility of using near-infrared hyperspectral images for the recognition of faces over a database of 200 subjects. The hyperspectral images were

Imaging spectrometers measure electromagnetic energy scattered in their instantaneous field view in hundreds or thousands of spectral channels with higher spectral resolution than multispectral cameras. Imaging spectrometers are therefore often referred to as hyperspectral cameras (HSCs). Higher

Soil surface illumination at micro-relief scale and soil BRDF data collected by a hyperspectral camera

Ground-level spectroscopy analyses and classification of coral reefs using a hyperspectral camera

INTRODUCTION An important goal for digital color cameras is to record enough information about a scene so that it can be reproduced accurately for a human observer. By accurately, we mean so that the human observer will perceive the reproduction as looking like the original. We can divide factors

ABSTRACT Hyperspectral imaging has important benefits in remote sensing and material identification. This paper describes a class of hyperspectral imaging systems which utilize a novel optical processor that provides video-rate hyperspectral datacubes. These systems have no moving parts and do

While images are often illuminated by a single source, objects in the scene are illuminated by varying intensities of that illuminant. We show that the illuminant can be estimated by using a few known reflectances within an image taken with a hyperspectral camera. The method relies on projection

In this paper, we present a system for automatic spectral sig-nature acquisition and recognition of skin from hyperspectral face imagery. In the acquisition step, hyperspectral cameras are used to capture multispectral or hyperspectral images of faces for skin recognition. The acquired signature