The matched subspace detector with interaction effects

PATTERN RECOGNITION

卷:68

Article

Wang, Ziyu^1,2  Xue, Jing-Hao² 

[1] UCL, Dept Secur & Crime Sci, London WC1E 6BT, England

[2] UCL, Dept Stat Sci, London WC1E 6BT, England

关键词: Matched subspace detector (MSD);    Linear mixing model (LMM);    Bilinear mixing model (BMM);    Interaction effects;    Target detection;    Hyperspectral image (HSI);   

DOI  :  10.1016/j.patcog.2017.03.002

来源: Elsevier

【 摘 要 】

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. (C) 2017 The Authors. Published by Elsevier Ltd.

【 授权许可】

Free