Spectral Classification and Change Detection for Hyperspectral Imaging (V1717)
conference paper
This paper shows the Netherlands contribution to NATO SET-240 on Exploitation of Longwave Infrared Airborne Hyperspectral Data, that focusses on the detection of soil disturbances, buried objects, and nonburied (surface) objects. Together with other hyperspectral feasibility research on maritime target detection and machine learning. Hyperbolic Anomalous Change Detection (HACD) applied to high-quality SEBASS hyperspectral LWIR imagery of soil disturbances caused by the burial of IEDs yields good results. The mechanism that results in a good detection performance is the Reststrahlen effect. Rainfall has a negative effect on the detection performance. New types of hyperspectral sensors and cameras are being developed. The gains in temporal, spatial and spectral resolution opens up the pathway to new applications. However, the processing algorithms need to be adjusted to the increasing data load as well. Data management and normalization are a key factor to success.
TNO Identifier
884063
Publisher
NATO
Source title
Phenomenology and Exploitation of Hyperspectral Sensing within NATO, NATAO SET 277 workshop
Files
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