Wang, Z;
Xue, J-H;
(2017)
The matched subspace detector with interaction effects.
Pattern Recognition
, 68
(C)
pp. 24-37.
10.1016/j.patcog.2017.03.002.
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Abstract
This paper aims to propose a new hyperspectral target-detection method termed the matched subspace detector with interaction effects (MSDinter). The MSDinter introduces “interaction effects” terms into the popular matched subspace detector (MSD), from regression analysis in multivariate statistics and the bilinear mixing model in hyperspectral unmixing. In this way, the interaction between the target and the surrounding background, which should have but not yet been considered by the MSD, is modelled and estimated, such that superior performance of target detection can be achieved. Besides deriving the MSDinter methodologically, we also demonstrate its superiority empirically using two hyperspectral imaging datasets.
Type: | Article |
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Title: | The matched subspace detector with interaction effects |
Open access status: | An open access version is available from UCL Discovery |
DOI: | 10.1016/j.patcog.2017.03.002 |
Publisher version: | http://doi.org/10.1016/j.patcog.2017.03.002 |
Language: | English |
Additional information: | This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ |
Keywords: | Matched subspace detector (MSD); Linear mixing model (LMM); Bilinear mixing model (BMM); Interaction effects; Target detection; Hyperspectral image (HSI) |
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/1557405 |
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