Disaster Monitoring by Fully Polarimetric SAR Data Acquired With ALOS-PALSAR
Disaster Monitoring by Fully Polarimetric SAR Data Acquired With ALOS-PALSAR
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DOI：
10.1109/jproc.2012.2195469
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发表时间：
2012-05
影响因子：
20.6
通讯作者：
Y. Yamaguchi
中科院分区：
文献类型：
--
作者：
Y. Yamaguchi
本文提出了一种用于灾害监测的全极化合成孔径雷达（SAR）数据的散射功率分解图像。全偏振数据的利用可以导出具有红-绿色-蓝色编码的全色图像，红色用于双反射功率，绿色用于体积散射功率，并且蓝色用于表面散射功率，其中每个颜色亮度对应于幅度。由于灾害事件导致每个散射功率的变化，它变得简单，每个人都可以识别的颜色变化的偏振分解图像提供的时间序列数据集。在对高级陆地观测卫星（ALOS）相控阵型L波段合成孔径雷达（PALSAR）获得的全极化图像数据集进行四分量散射功率分解后，介绍了几种用于监测火山活动、积雪、滑坡和大地震引起的海啸影响等自然灾害的图像。在极化分解图像中可以看出，与正常情况下的那些相比，在大多数灾害区域中，表面散射功率变得占主导地位。
This paper presents scattering power decomposition images of fully polarimetric synthetic aperture radar (SAR) data for disaster monitoring. Utilization of fully polarimetric data can derive full color images with red-green-blue color coding, red for the double-bounce power, green for the volume scattering power, and blue for the surface scattering power, for which each color brightness corresponds to the magnitude. Since disaster events cause the changes of each scattering power, it becomes straightforward for everyone to recognize the changes of the color in the polarimetric decomposed images provided time series data sets are made available. After applying the four-component scattering power decomposition to fully polarimetric image data sets acquired with the Advanced Land Observing Satellite (ALOS) Phased-Array-type L-band SAR (PALSAR), several images are presented for natural disaster monitoring of volcanic activity, snow accumulation, landslides, and tsunami effects caused by great earthquakes. It is seen in the polarimetric decomposition images that the surface scattering power becomes predominant in most disaster areas compared to those in normal situations.