基于极化干涉SAR植被高度提取算法分析

Analysis of Forest Height Extraction Based on Polarimetric SAR Interometry

极化干涉SAR综合了干涉SAR和极化SAR的优点,被广泛应用于植被高度的反演。本文在分析DEM差值法、RVOG地相位法、复相干幅度法以及改进的综合算法基础上,利用黑龙江大兴安岭地区的一对ALOS全极化干涉SAR数据进行实验,对比分析了各算法的反演结果。结果表明:改进的综合算法的树高反演效果总体上优于其他方法,有较高的反演精度,并且能够在一定程度上保证森林树高反演的稳定性。

Polarimetric SAR interometry is a technique that integrates all advantages of SAR interference and SAR polarization,it has widely used in the vegetation height inversion.The paper is based on the DEM differencing,RVOG phase algorithm,coherence amplitude algorithm and the improved synthesis algorithm.Used a pair of ALOS full polarization interference of SAR data from great Xing＇an Mountain in Heilongjiang province to compare and analyze the results.The results showed that the improved synthesis algorithm has high inversion accuracy and the forest tree height inversion is superior to others.Thus,it provides certain basis for forest height inversion.