摘要
本文通过像方补偿自检校的参数模型,对卫星影像畸变进行几何纠正,解决了卫星影像在成像的过程中受到传感器平台、大气折光、地形起伏等诸多因素影响造成的线性和非线性几何畸变问题,消除了影像中像点不同程度的几何位移而产生的失真,实现了高精度卫星影像几何纠正,同时采用GPU并行加速实现,提高了处理效率。
In this article, through a parameter model of image compensation and self- calibration, conducted geometric correction on satellite image distortion, solved the problem on linear and nonlinear geometric distortion of satellite images, caused by sensor platform, atmospheric refraction, terrain relief, and many other aspects in the process of imaging. Moreover, eliminated the geometric distortion of image point in the image at the different levels, in order to achieve high geometrical correction accuracy of satellite images. At the same time, using a method of the GPU acceleration parallel implementation, improved the processing efficiency.
出处
《内蒙古农业大学学报（自然科学版）》
CAS
2016年第5期57-66,共10页
Journal of Inner Mongolia Agricultural University(Natural Science Edition)
关键词
像方补偿
自检校
卫星影像
几何纠正
GPU加速
Image compensation
self - calibration
satellite image
geometric correction
GPU acceleration
作者简介
蒲生亮（1986-）,男,博士研究生,主要从事卫星遥感对地观测信息处理研究.通讯作者：E-mail：shlpu@whu.edu.cn
