New robust statistics for change detection in time series of multivariate SAR images

A Mian, G Ginolhac, JP Ovarlez… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
This paper explores the problem of change detection in time series of heterogeneous
multivariate synthetic aperture radar images. Classical change detection schemes have …

[PDF][PDF] An overview of covariance-based change detection methodologies in multivariate SAR image time series

A Mian, G Ginolhac, JP Ovarlez, A Breloy… - … Detection and Image …, 2021 - abreloy.github.io
Change detection (CD) for remotely sensed images of the Earth has been a popular subject
of study in the past decades. It has indeed attracted a plethora of scholars due to the various …

Detection methods based on structured covariance matrices for multivariate SAR images processing

RB Abdallah, A Mian, A Breloy, A Taylor… - … and Remote Sensing …, 2019 - ieeexplore.ieee.org
Testing the similarity of covariance matrices (CMs) from groups of observations has been
shown to be a relevant approach for change and/or anomaly detection in synthetic aperture …

Design of new wavelet packets adapted to high-resolution SAR images with an application to target detection

A Mian, JP Ovarlez, AM Atto… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
High resolution in synthetic aperture radar (SAR) leads to new physical characterizations of
scatterers which are anisotropic and dispersive. These behaviors present an interesting …

New generation SAR for Earth environment observation

GUO Huadong, WU Wenjin, Z Ke… - Acta Geodaetica et …, 2022 - xb.chinasmp.com
Synthetic aperture radar (SAR) systems have the unique advantage of all-time and all-
weather observation. In the past decade or so, with the continuous announcement of multi …

Robust low-rank change detection for multivariate sar image time series

A Mian, A Collas, A Breloy, G Ginolhac… - IEEE Journal of …, 2020 - ieeexplore.ieee.org
This article derives a new change detector for multivariate synthetic aperture radar (SAR)
image time series (ITS). Classical statistical change detection methodologies based on …

[HTML][HTML] 新型SAR 对地环境观测

郭华东, 吴文瑾, 张珂, 李新武 - 2022 - xb.chinasmp.com
合成孔径雷达(SAR) 系统在对地观测中具有全天时全天候的独特优势. 近十几年来, 多模式,
多角度, 多维度, 大幅宽, 高分辨率, 多基协同等SAR 技术的问世, 代表着新型SAR …

A Comparative Study of Statistical-Based Change Detection Methods for Multidimensional and Multitemporal SAR Images

A Mian, F Pascal - Advances in Condition Monitoring and Structural …, 2021 - Springer
This paper addresses the problem of activity monitoring through change detection in a time
series of multidimensional Synthetic Aperture Radar (SAR) images. Thanks to SAR sensors' …

An Overview of Detection Covariance-based Methodologies Change in Multivariate SAR Image Time Series

A BRELOY, F PASCAL - … and Image Time-Series Analysis 1 …, 2021 - books.google.com
Change detection (CD) for remotely sensed images of the Earth has been a popular subject
of study in the past decades. It has indeed attracted a plethora of scholars due to the various …

Robust low-rank change detection for SAR image time series

A Mian, A Breloy, G Ginolhac… - IGARSS 2019-2019 …, 2019 - ieeexplore.ieee.org
This paper considers the problem of detecting changes in multivariate Synthetic Aperture
Radar image time series. Classical methodologies based on covariance matrix analysis are …