Lionel Bombrun — accepted AI-conference papers

2017

A geometric learning approach on the space of complex covariance matrices

Hatem Hajri, Salem Said, Lionel Bombrun, Yannick Berthoumieu

ICASSP 2017accepted

Many signal and image processing applications, including SAR polarimetry and texture analysis, require the classification of complex covariance matrices. The present paper introduces a geometric learning approach on the space of complex covariance matrices based on a new distribution called Riemanni…

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2016

Classification of hyperspectral data with ensemble of subspace ICA and edge-preserving filtering

Junshi Xia, Lionel Bombrun, Tülay Adali, Yannick Berthoumieu, Christian Germain

ICASSP 2016accepted

Conventional feature extraction methods cannot fully exploit both the spectral and spatial information of hyperspectral imagery. In this paper, we propose an ensemble method of subspace independent component analysis (ICA) and edge-preserving filtering (EPF) for the classification of hyper-spectral…

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