New robust statistics for change detection in time series of multivariate SAR images
This paper explores the problem of change detection in time series of heterogeneous
multivariate synthetic aperture radar images. Classical change detection schemes have …
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
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 …
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
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 …
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
High resolution in synthetic aperture radar (SAR) leads to new physical characterizations of
scatterers which are anisotropic and dispersive. These behaviors present an interesting …
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 …
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
This article derives a new change detector for multivariate synthetic aperture radar (SAR)
image time series (ITS). Classical statistical change detection methodologies based on …
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 …
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
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' …
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
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 …
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
This paper considers the problem of detecting changes in multivariate Synthetic Aperture
Radar image time series. Classical methodologies based on covariance matrix analysis are …
Radar image time series. Classical methodologies based on covariance matrix analysis are …