Adaptive Multitemporal SAR Image Filtering Based on the Change Detection Matrix
Adaptive Multitemporal SAR Image Filtering Based on the Change Detection Matrix
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DOI：
10.1109/lgrs.2014.2311663
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发表时间：
2014-10-01
影响因子：
4.8
通讯作者：
Nicolas, Jean-Marie
中科院分区：
文献类型：
--
作者：
Thu Trang Le;Atto, Abdourrahmane M.;Nicolas, Jean-Marie
这封信提出了一种基于时间演化分析的合成孔径雷达（SAR）图像时间序列的自适应滤波方法。首先，通过实施变异系数（CV）交叉测试，为时间序列上的每个空间位置构建包含变化和未变化像素信息的变化检测矩阵（CDM）。随后，CDM 为每个图像中的每个像素提供自适应时空邻域，用于导出滤波值。所提出的方法在 2009 年 11 月 6 日至 2011 年 9 月 25 日在夏蒙尼勃朗峰试验场上采集的 25 张上升的 TerraSAR-X 图像的时间序列上进行了说明，其中包括不同类型的变化，例如停车占用、冰川表面演变等。
This letter presents an adaptive filtering approach of synthetic aperture radar (SAR) image times series based on the analysis of the temporal evolution. First, change detection matrices (CDMs) containing information on changed and unchanged pixels are constructed for each spatial position over the time series by implementing coefficient of variation (CV) cross tests. Afterward, the CDM provides for each pixel in each image an adaptive spatiotemporal neighborhood, which is used to derive the filtered value. The proposed approach is illustrated on a time series of 25 ascending TerraSAR-X images acquired from November 6, 2009 to September 25, 2011 over the Chamonix-Mont-Blanc test-site, which includes different kinds of change, such as parking occupation, glacier surface evolution, etc.