21 October 2005 Hyperspectral and broadband FLIR data fusion
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Abstract
Future targeting systems aim to extend the range of air-ground target search, acquisition, temporal tracking and identification exceeding those currently afforded by forward looking infrared sensors. One technology option that has the potential to fulfil this requirement is hyperspectral imaging. Therefore a solution to detection and identification at longer ranges is the fusion of data from broadband and hyperspectral sensors. QinetiQ, under the Data & Information Fusion Defense Technology Centre, aims to develop a fully integrated spatial/spectral and temporal target detection/ identification air- ground tracking environment. This will build upon current capabilities in target tracking, synthetic scene generation, sensor modelling, hyperspectral and broadband target detection and identification algorithms into a tool that can be used to evaluate data fusion architectures.
© (2005) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Mike Nicholas, Matt James, Jo Nothard, "Hyperspectral and broadband FLIR data fusion", Proc. SPIE 5988, Electro-Optical Remote Sensing, 59880E (21 October 2005); doi: 10.1117/12.634024; https://doi.org/10.1117/12.634024
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