Direct georeferencing of airborne pushbroom images

Direct georeferencing of airborne pushbroom images
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DOI:
10.1080/02533839.2015.1009410
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发表时间:
2015-02
影响因子:
1.1
通讯作者:
Ching-Kuo Yeh;V. J. Tsai
Ching-Kuo Yeh;V. J. Tsai
中科院分区:
工程技术4区
文献类型:
--
作者:
Ching-Kuo Yeh;V. J. Tsai

文献摘要

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基于共线方程的正射影像直接地理配准(DG)已成为一种标准的摄影测量操作。在本文中,DG的基本思想是实现和完善的19个自校准参数纠正机载推扫式高光谱图像采集使用智能光谱成像系统(ISIS)扫描仪。两个实验ISIS图像沿着与飞行中的全球定位系统(GPS)/惯性测量单元(IMU)的数据和40个地面控制点(GCPs)被用来解决这些参数的迭代最小二乘法。通过应用所提出的自校准DG方法,GCPs的位置误差被显着地从10像素级的飞行中基于DG的校正而无需自校准降低到像素级。对于30个检查点也发现了类似的结果,这些检查点的坐标或者是通过GPS实时动态测量的,或者是从5米到20米的数字高程模型数据内插的,即使省略了六个透镜畸变参数。结果表明,所提出的自校准DG的方法有望提高质量的地理定位结果,通过减少平台的不稳定性,包括在GPS/IMU的失准,稳定器对飞机的振动和旋转的影响,传感器的光学系统的内部参数,和地形的变化所造成的几何失真。
Direct georeferencing (DG) for orthoimage production based on collinearity equations has emerging as a standard photogrammetric operation. In this paper, the basic idea of DG is realized and refined with 19 self-calibration parameters for rectifying airborne pushbroom hyperspectral images collected using the intelligent spectral imaging system (ISIS) scanner. Two experimental ISIS images along with in-flight global positioning systems (GPS)/inertia measurement unit (IMU) data and 40 ground control points (GCPs) were used to solve these parameters by the iterative least squares method. By applying the proposed self-calibrated DG approach, the positional error of the GCPs is dramatically reduced to the pixel level from the 10-pixel level of in-flight DG-based rectification without self-calibration. Similar results were also found for the 30 check points, whose coordinates were either measured by GPS Real-Time Kinematic, or interpolated from 5-m to 20-m digital elevation model data, even when the six lens distortion parameters were omitted. It is demonstrated that the proposed self-calibrated DG approach promisingly improves the quality of georeferencing results by reducing the geometric distortions caused by instability of the platform, including misalignments in GPS/IMU, stabilizer effects on aircraft vibration and rotation, interior parameters of the sensor’s optical system, and variations in topography.