面向对象高可信SAR数据精确处理

Object-Oriented Accurate Processing for SAR Images

针对合成孔径雷达(synthetic aperture rdar,SAR)数据在地形地物、森林植被等方面的处理与解译难题,介绍了近年来利用多角度、多波段、多极化、极化干涉等多模态航空航天SAR数据,建立基于散射机理的地物特性知识库,构建地形辐射校正模型、极化干涉处理模型、立体测量模型、基于知识的解译模型等,开发出高分辨率机载极化干涉SAR数据获取系统和SAR影像高性能解译软件系统,实现了精度高、可靠性强、识别类型丰富的SAR影像高可信处理与解译的原理、技术与方法,同时对成果在测绘、林业等行业的应用情况进行了介绍,对研究中存在的问题和解决思路进行了探讨。

Aiming at the difficulty of synthetic aperture radar(SAR) images processing and interpretating in topography, forest vegetation identification, this paper employs the work and progress made by the research group in recent years. Using multi-angle, multi-band, multi-polarization, polarimetric interferometric, and other multi-mode aviation, aerospace SAR data, the terrain features library based on the scattering mechanism are established, and the terrain radiation correction, polarization interfe-rence processing, stereoscopic measurement and knowledge based interpretation model is constructed. The high resolution airborne polarization interference SAR data acquisition system and the SAR image high performance interpretation software system are developed. The principle, technology and method of high confidence processing and interpretation of SAR images with high precision, strong reliability and rich recognition type are realized. At the same time, this paper introduces the application of research results in the surveying and mapping, forestry and other industries, and discusses the problems and solutions in the research.