摘要
本文讨论了利用单路经全极化合成孔径雷达(SAR-Synthetic Aperture Radar)复图像数据反演地表坡度信息的基本原理及难点。通过结合极化补偿(Polarization Compensation)技术和Lambertian反射模型,本文提出了一种新的坡度估计方法:Compensation-Lambertian算法。这个方法的主要思路是利用Lambertian反射模型及极化补偿前后雷达回波功率变化来估计地表方位向坡度。之后,利用地形变化引起的极化方位角偏移、方位向坡度以及雷达入射角度来计算地距向坡度。本文使用JPL机载L波段全极化SAR复图像数据验证了算法的有效性。
In this paper, the basic theory and problems of terrain slope estimation using single pass fully polarimetric SAR image complex data are discussed. A new slope estimation method, which is called Compensation-Lambertian algorithm, is introduced here. A key idea of our approach is to compute azimuth slope by using Lambertian reflection model and radar backscattering power variation before and after polarization compensation. And then, range slope can be calculated by polarization orientation shift, azimuth slope and radar incidence angle. JPL AIRSAR L-band polarimetric SAR images are used for validating this method.
出处
《微计算机信息》
2009年第6期43-44,105,共3页
Control & Automation
关键词
合成孔径雷达
坡度
极化补偿
朗伯模型
synthetic aperture radar
slope
polarization compensation
Lambertian model
