Applied Math

Duke Applied Mathematics



Publications [#331595] of Mauro Maggioni

Papers Published

  1. Wang, YG; Maggioni, M; Chen, G, Enhanced detection of chemical plumes in hyperspectral images and movies throughimproved backgroundmodeling, Workshop on Hyperspectral Image and Signal Processing, Evolution in Remote Sensing, vol. 2015-June (October, 2017), IEEE, ISBN 9781467390156 [doi]
    (last updated on 2019/04/10)

    Abstract:
    © 2015 IEEE. We extend recent work that models the background in hyperspectral images by a single distribution (Gaussian or subspace) to use a mixture of such distributions. This seems to better capture the complexity of the background, which often consists of heterogeneous regions (e.g., sky, mountain and ground). We derive mixture versions of the previous estimators and apply them to benchmark data sets for detecting chemical plumes of known chemicals in hyperspectral images and movies. Our experiments show that the mixture background models consistently outperform their counterparts with a single distribution.


x Duke University * Arts & Sciences * Mathematics * January 20, 2026

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