There have been several suggestions of the existence of cosmological redshift signatures in the temporal and spectral characteristics of gamma-ray bursts. However, recent discoveries of afterglows and redshift measurements indicate the presence of broad “luminosity functions” which may overwhelm such weaker cosmological signatures. The primary goal of this paper is to determine if the intrinsic...

The thermal infrared spectral signatures of two weathered terrestrial basalts were studied to better understand spectral signatures measured of weathered surfaces on Mars. Here we examine whether thermal infrared spectra (5-25 µm) may be used to differentiate between a desert varnish and a glassy, sili-cate cooling rind. Our preliminary results indicate the spectral signatures of both poorly or...

The effectiveness of management plans developed for responding to coral disease outbreaks is limited due to the lack of rapid methods of disease diagnosis. In order to fulfill current management guidelines for responding to coral disease outbreaks, alternative methods that significantly reduce response time must be developed. Hyperspectral sensing has been used by various groups to characterize...

In the recent past, remotely sensed data with high spectral resolution has been made available and has been explored for various agricultural and geological applications. While these spectral signatures of the objects of interest provide important clues, the relatively poor spatial resolution of these hyperspectral images limits their utility and performance. In this context, hyperspectral imag...

Hyperspectral imaging sensors suffer from spectral and spatial misregistrations due to optical-system aberrations and misalignments. These artifacts distort spectral signatures that are specific to target objects and thus reduce classification accuracy. The main objective of this work is to detect and correct spectral and spatial misregistrations of hyperspectral images. The Hyperion visible ne...

Abstract. In this study, an efficient spectral similarity method referred to as Weighted Chebyshev Distance (WCD) method is introduced for supervised classification of hyperspectral imagery (HSI) and target detection applications. The WCD is based on a simple spectral similarity based decision rule using limited amount of reference data. The estimation of upper and lower spectral boundaries of ...