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机构地区:[1]同济大学测绘与地理信息学院,上海200092
出 处:《井冈山大学学报(自然科学版)》2014年第6期66-69,共4页Journal of Jinggangshan University (Natural Science)
基 金:国家自然科学基金项目(11271101)
摘 要:非量测相机应用于摄影测量,内部参数是影响其精度的重要因素。分别通过Matlab标定工具箱进行标定、后方交会解算法、透视变换和后方交会交替法等三种方法对相机进行检校,从而获取畸变参数和内方位元素,最后研究了三种方法在不同数量像片条件下的稳定性及精度。结果表明相比于Matlab标定工具箱标定方法,后方交会解算法及透视变换和后方交会交替法检校精度更高,且当三维控制场像片数量少时,后方交会法解算精度更稳定。Intrinsic parameters are important factors that affect accuracy when non-measured camera is applied to the field of Photogrammetry. We utilize three methods to calibrate a camera for acquiring distortion parameters and elements of interior orientation which are Camera Calibration Toolbox for Matlab, space resection and the alternate calculation of Perspective Transformation and Resection. The conclusion proves that space resection and the alternate calculation of Perspective Transformation and Resection provide higher precision than Camera Calibration Toolbox for Matlab by considering stability and precision of three methods using different amounts of photos. Space resection also provides higher stability when the number of images for three-dimensional control field is scarce.
分 类 号:P232[天文地球—摄影测量与遥感]
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