Classification of Buried Objects From Ground Penetrating Radar Images by Using Second-Order Deep Learning Models.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025
Online change detection in SAR time-series with Kronecker product structured scaled Gaussian models.
Signal Process., 2024
Buried Object Classification from GPR Data by using Second Order Deep Learning Models.
Proceedings of the IGARSS 2024, 2024
Random matrix theory improved Fréchet mean of symmetric positive definite matrices.
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Renyi Divergences Learning for explainable classification of SAR Image Pairs.
Proceedings of the IEEE International Conference on Acoustics, 2024
New Robust Sparse Convolutional Coding Inversion Algorithm for Ground Penetrating Radar Images.
IEEE Trans. Geosci. Remote. Sens., 2023
Learning Graphical Factor Models with Riemannian Optimization.
Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023
Classification of GPR Signals Via Covariance Pooling on CNN Features Within a Riemannian Framework.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022
Riemannian Classification of EEG Signals with Missing Values.
Proceedings of the 30th European Signal Processing Conference, 2022
On-line Kronecker Product Structured Covariance Estimation with Riemannian geometry for t-distributed data.
Proceedings of the 29th European Signal Processing Conference, 2021
Robust Low-Rank Change Detection for Multivariate SAR Image Time Series.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2020
Riemannian geometry for compound Gaussian distributions: Application to recursive change detection.
Signal Process., 2020
Block-Wise Minimization-Majorization Algorithm for Huber'S Criterion: Sparse Learning and Applications.
Proceedings of the 30th IEEE International Workshop on Machine Learning for Signal Processing, 2020
A Comparative Study of Supervised Learning Algorithms for Symmetric Positive Definite Features.
Proceedings of the 28th European Signal Processing Conference, 2020
New Robust Statistics for Change Detection in Time Series of Multivariate SAR Images.
IEEE Trans. Signal Process., 2019
Design of New Wavelet Packets Adapted to High-Resolution SAR Images With an Application to Target Detection.
IEEE Trans. Geosci. Remote. Sens., 2019
Detection Methods Based on Structured Covariance Matrices for Multivariate SAR Images Processing.
IEEE Geosci. Remote. Sens. Lett., 2019
Robust Low-Rank Change Detection for Sar Image Time Series.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019
Designing Sar Images Change-point Estimation Strategies Using an Mse Lower Bound.
Proceedings of the IEEE International Conference on Acoustics, 2019
A Robust Change Detector for Highly Heterogeneous Multivariate Images.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018
Robust Detection and Estimation of Change-Points in a Time Series of Multivariate Images.
Proceedings of the 26th European Signal Processing Conference, 2018
Multivariate change detection on high resolution monovariate SAR image using linear time-frequency analysis.
Proceedings of the 25th European Signal Processing Conference, 2017