Wishart-Based Adaptive Temporal Filtering of Polarimetric SAR Imagery
REMOTE SENSING(2020)
摘要
Temporal filtering for speckle reduction of polarimetric SARimages is described. The method is based on a sequential complex Wishart-based change detection algorithm which is applied to polarized SAR imagery, including the dual-polarization intensity data archived on the Google Earth Engine (GEE). Software for convenient application and analysis is presented. Results compare favorably with, and improve upon, standard spatial and temporal filters for speckle reduction.
更多查看译文
关键词
dual,and quad-polarization SAR,change detection,speckle filtering,Google Earth Engine,Docker,Jupyter notebook
AI 理解论文
溯源树
样例
![](https://originalfileserver.aminer.cn/sys/aminer/pubs/mrt_preview.jpeg)
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要