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摘要

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引用本文:

DOI:

10.11834/jrs.20121152

收稿日期:

2011-05-22

修改日期:

2011-07-31

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雷达影像几何构像距离-共面方程
1.中国测绘科学研究院,北京 100039;2.中国矿业大学,江苏 徐州 221116
摘要:

几何构像方程是遥感影像摄影测量最基本最重要的公式,简洁性和严密性是其能得到广泛应用的必要条件。本文分析了姿态对侧视雷达影像成像的影响,以传感器位置和姿态(外方位元素)作为定向参数,根据侧视雷达成像的距离和波束中心共面(Range-Coplanarity, R-Cp)条件构建了一种简洁严密的几何构像方程。该方程考虑了姿态参数对雷达影像严密定位的影响,反映了侧视雷达遥感影像的成像几何原理,避开了复杂的成像参数,实现了雷达影像与光学影像严密构像模型定向参数的统一。定位试验精度优于Leberl F模型和Konecny G模型。该方程的特点表明其在侧视雷达遥感影像的摄影测量领域中有着一定的应用潜力。

Range-Coplanarity equation for radar geometric imaging
Abstract:

Geometric imaging equation is the most fundamental and important formula for photogrammetry, and rigorousness and conciseness are main factors constrain its applicability. In this paper, following the analyzing of attitude influence on sidelooking radar imaging, a rigorous and concise geometric imaging equation based on Range-Coplanarity (R-Cp) condition is proposed using positions and attitudes (e.g., exterior orientation elements) of the radar sensor as orientation parameters. The equation considers the effect of attitude angles on radar image positioning, reflects the imaging geometric principle of radar images in both distance and azimuth directions, removes the complicated imaging parameters, and realizes the coherence of orientation parameters of rigorous model for optical image and side-looking radar image. Furthermore, it also shows higher positioning experiment precision compared to Konecny G model and Leberl F model. Theory and tests indicate that the equation has potential applications in the field of photogrammetry on radar remote sensing images.

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