Traditional hyperspectral imaging (HSI) sensors are inherently time-sequential during capture, relying upon scanning
techniques to construct the resultant hypercube. This temporal constraint hence restricts the use of HSI to static scenes or
platforms. The novel sensor outlined within this paper enables snapshot HSI. The Near-Infrared Image Replicating
Imaging Spectrometer (N-IRIS) operates without any rejection in polarized light. This prototype has eight SWIR bands
and a diagonal FoV of two degrees, with potential for sixteen bands in other infrared regions. Unlike other snapshot
techniques, N-IRIS produces a spectral image directly without inversion. Many additional benefits include inherent
compactness, robustness, no-moving-parts operation, lower processing overheads and resource needs. Dual polarimetricspectral
imaging is also possible due to its inherent design, which offers additional discrimination and higher throughput.
HSI algorithms for anomaly detection are prolific in variety, but almost none of them consider the temporal
dimension, mainly due to current limitations on speed. This paper describes the results from advanced algorithms
implemented on COTS hardware for video-rate operation and designed to exploit the temporal dimension. The synergy
with N-IRIS has achieved anomaly detection within streaming HSI hypercubes at video frame-rates. Recorded datasets
include static ground scenes with transient targets, while further AVRIS imagery achieved the video-rate detection of
embedded simulated targets therein. This new capability through N-IRIS hence broadens the potential application and
benefit of HSI sensors to dynamic or transient situations.