基于线性时频分析的高分辨率单变量SAR图像多变量变化检测

2017 25th European Signal Processing Conference (EUSIPCO) Pub Date : 2017-08-28 DOI:10.23919/EUSIPCO.2017.8081548

A. Mian, J. Ovarlez, G. Ginolhac, A. Atto

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引用次数: 9

摘要

在本文中，我们提出了一种新的方法来检测两个单变量复杂SAR图像之间的变化。线性时频工具用于恢复场景中存在的散射体的光谱和角度多样性。将这种多样性应用于双数据变化检测框架中，开发了一种检测器，该检测器在单变量SAR图像上的性能优于经典检测器。

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Multivariate change detection on high resolution monovariate SAR image using linear time-frequency analysis

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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2017 25th European Signal Processing Conference (EUSIPCO)

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