Multivariate change detection on high resolution monovariate SAR image using linear time-frequency analysis
2017 25th European Signal Processing Conference (EUSIPCO), 2017•ieeexplore.ieee.org
In this paper, we propose a novel methodology for Change Detection between two
monovariate complex SAR images. Linear Time-Frequency tools are used in order to
recover a spectral and angular diversity of the scatterers present in the scene. This diversity
is used in bi-date change detection framework to develop a detector, whose performances
are better than the classic detector on monovariate SAR images.
monovariate complex SAR images. Linear Time-Frequency tools are used in order to
recover a spectral and angular diversity of the scatterers present in the scene. This diversity
is used in bi-date change detection framework to develop a detector, whose performances
are better than the classic detector on monovariate SAR images.
In this paper, we propose a novel methodology for Change Detection between two monovariate complex SAR images. Linear Time-Frequency tools are used in order to recover a spectral and angular diversity of the scatterers present in the scene. This diversity is used in bi-date change detection framework to develop a detector, whose performances are better than the classic detector on monovariate SAR images.
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