Anomaly detection in hyperspectral images is of great interest in the target detection domain
since it requires no prior information and makes full use of the spectral differences revealed …

Anomaly detection from remote sensing images is to detect pixels whose spectral signatures
are different from their background. Anomalies are often man-made targets. With such target …

Hyperspectral anomaly detection is an alluring topic in hyperspectral image processing. As
one of the most famous hyperspectral anomaly detection algorithms, Reed-Xiaoli detector is …

Often in hyperspectral overhead land mine imagery, there exists clutter with similar spatial
and spectral characteristics to those of land mines. However groups of clutter features are …

Hyperspectral ground to ground viewing perspective presents major challenges for
autonomous window based detection. One of these challenges has to do with object scales …

Mine fields are often distinguishable in overhead hyperspectral LWIR imagery due to the
spatial pattern in which the mines are laid. Recognition of these field patterns in overhead …

A Bomem 200 series Fourier transform infrared spectrometer and FLIR Systems Inc InGaAs
infrared (IR) camera was used to measure the degree of linear polarization (DOLP) from a …

Hyperspectral technology is currently being used by the military to detect regions of interest
where potential targets may be located. Weather variability, however, may affect the ability …