摘要
针对机载环境复杂,不确定因素众多,与图像相对应的DEM不能精确获得等影响校正的不利因素,研究基于先验条件而不依赖DEM的机载SAR图像几何校正方法。从产生畸变的原理和校正过程的本质出发,将不同的几何校正理论在成像原理层面进行统一;在此基础上,分析精确校正所需要的条件,并提出当条件不能满足时的基于统计模型的几何校正方法;继而提出基于不同先验条件的校正方案决策模型。仿真实验及基于配准区域的保真度评价结果验证了所提方法的有效性。
A set of geometric calibration method for airborne SAR image based on prior conditions was proposed, which is independent of DEM and could applied to the complex environment in airplane with uncertainty factors. First, different calibration algorithms were analyzed and unified according to the SAR imaging theory and the geo- metric distortion course; and then, necessary conditions for precise correction algorithm based on the determinate model were studied, and a calibration algorithm based on the statistic model was put forward when essential conditions could not be satisfied; subsequently, a decision model of calibration scheme was proposed on the basis of different prior conditions. Experimental results of calibration algorithms and fidelity evaluations based on region registration show the validity of the method proposed here.
出处
《测绘学报》
EI
CSCD
北大核心
2009年第1期41-47,共7页
Acta Geodaetica et Cartographica Sinica
基金
湖南省自然科学基金(07JJ3127)
国防科技大学博士生创新基金(13070301)
关键词
机载SAR图像
几何校正
SAR成像原理
确定模型
统计模型
图像配准
保真度评价
airborne SAR image
geometric calibration
SAR imaging theory
determinate model
statistic model
imaging registration
fidelity evaluation
