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多源卫星遥感影像区域网平差

The Block Adjustment of Multi-source Satellite Remote Sensing Image
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摘要 鉴于卫星传感器等参数的保密性和通用性,普遍采用有理函数模型代替严格轨道模型对卫星影像进行高精度定位。尤其是在稀无控制点区域,采用基于有理函数模型的区域网平差方法可以明显提高影像的定位精度。以World View-I和IRS-P5为数据源进行试验,说明本方法的有效性并可将其推广应用于大比例尺稀无地面控制点测图技术。 Given to the confidentiality and universality of the parameters of satellite sensor, Rational Function Model, instead of Pushbroom sensor, is commonly used in the high precision positioning of the satellite image. Particularly in the area that is sparse or without GCPs, the bock adjustment of RFM can apparently improve the accuracy of image. By doing the experiments based on the data of World View-I and IRS-P5, this paper proves the effectiveness of RFM, which can be promoted to be used in the mapping of control point in large scale area that is sparse or without GCPs.
出处 《石家庄铁路职业技术学院学报》 2016年第1期61-66,共6页 Journal of Shijiazhuang Institute of Railway Technology
关键词 稀无控制点 有理函数模型 区域网平差 sparse or without GCPs RFM block adjustment
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