Yang, X;
Zhang, L;
Gao, L;
Xue, J-H;
(2019)
MSDH: Matched Subspace Detector with Heterogeneous Noise.
Pattern Recognition Letters
, 125
pp. 701-707.
10.1016/j.patrec.2019.07.014.
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Abstract
The matched subspace detector (MSD) is a classical subspace-based method for hyperspectral subpixel target detection. However, the model assumes that noise has the same variance over different bands, which is usually unrealistic in practice. In this letter, we relax the equal variance assumption and propose a matched subspace detector with heterogeneous noise (MSDH). In essence, the noise variances are different for different bands and they can be estimated by using iteratively reweighted least squares methods. Experiments on two benchmark real hyperspectral datasets demonstrate the superiority of MSDH over MSD for subpixel target detection.
Type: | Article |
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Title: | MSDH: Matched Subspace Detector with Heterogeneous Noise |
Open access status: | An open access version is available from UCL Discovery |
DOI: | 10.1016/j.patrec.2019.07.014 |
Publisher version: | https://doi.org/10.1016/j.patrec.2019.07.014 |
Language: | English |
Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
Keywords: | Hyperspectral imaging, Matched subspace detector (MSD), Target detection, Heterogeneous noise |
UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences > Dept of Statistical Science |
URI: | https://discovery.ucl.ac.uk/id/eprint/10078219 |
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