摘要
针对ALOS PRISM三线阵传感器,综合镜头光学畸变、像元尺寸和主距变化等影响,构建内定向参数模型;同时利用多项式模型,描述影像的外方位元素变化特征,建立自检校光束法区域网平差模型。利用ALOSPRISM实际数据对内定向参数模型进行研究和优化。结果表明,合适的内定向参数模型能起到良好的定标效果。
For the three liner-array sensor of ALOS PRISM, an orientation parameter model was constructed on the base of the factors of sensor distortion, pixel size zooming, focal length zooming and so on. A polynomial model was used to analyse the variational character of exterior parameters. Then a self-calibration bundle block adjustment model was constructed. Using ALOS PRISM reality data, the orientation parameter model, was re- searched and improved. Experimental results proved that the appropriate orientation parameter model could get a good calibration result.
出处
《测绘科学技术学报》
北大核心
2012年第3期196-199,203,共5页
Journal of Geomatics Science and Technology
基金
国家自然科学基金项目(40901230)
信息工程大学硕士研究生学位论文创新基金项目(S201107)
关键词
标定
光束法
内方位元素
外方位元素
区域网平差
calibration
bundle adiustment
elements of interior orientation
elements of exterior orientation
block adjustment
