基于PALSAR雷达数据在南方水体信息提取研究

Water Body Extraction Based on PALSAR Radar Data in the South

[目的]利用具有L波段的双极化PALSAR雷达数据在福建寿宁地区开展水体信息提取的研究。[方法]对双极化PALSAR雷达数据进行了极化差、滤波、彩色合成等图像处理手段,增强地物信息,分析了典型地物在雷达影像上的特点,利用地形建模消除山区阴影影响,基于SVM分类方法对研究区进行了水体信息提取,最后结合目视解译结果进行了精度评价。[结果]PALSAR雷达数据可准确地在我国南方地区进行水体信息的提取应用。[结论]该研究为解决在我国南方地区受云雨天气影响,光学遥感数据无法准确地提取地表水体信息的问题提供了理论依据。

[Objective]The ALOS Phased Arrayed L-band Synthetic Aperture Radar(PALSAR)was used for water extraction in Shouning.[Method]Firstly,used filtering,color synthesis and polarized difference to enhance the description of targets,and then analyzed the scattering mechanism of typical object,such as water,vegetation,settlement and shadow.Secondly,the shadow from the terrain modeling was used to mask the mislabeled water from PALSAR imagery due to its shadow influence.Finally,the water body was processed using support vector machine classification method.The comparison was made between the results of the extracted water body and visual interpretation from location accuracy and extraction accuracy.[Result]The PALSAR appeared to be more effective in areas of extracting water body in southern China.[Conclusion]The results provide reference for solving the problem that optical remote sensing data in southern China is affected by cloud and rain,it is impossible to accurately extract surface water body information.