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首页> 外文期刊>IEEE Geoscience and Remote Sensing Letters >Orthorectification of Planetary Linear Pushbroom Images Based on an Improved Back-Projection Algorithm
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Orthorectification of Planetary Linear Pushbroom Images Based on an Improved Back-Projection Algorithm

机译：基于改进反投影算法的行星线性推杆扫帚图像的正射校正

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摘要

The digital orthophoto map of planetary bodies plays a significant role in landing site selection, traverse path planning, and scientific research. However, existing orthorectification methods in the planetary mapping community exhibit low-computational efficiency for linear pushbroom images. To solve this problem, this letter presents a novel orthorectification method based on an improved back-projection algorithm. The back-projection algorithm is based on the geometric constraints of the central perspective plane (CPP) and is further improved to process linear pushbroom images with distortions. Specifically, we segment the linear array in the focal plane into multiple line segments and find the exact CPP using simple analytical geometric calculations. The proposed method was fully tested and evaluated with well-known planetary mapping software packages, namely, the integrated system for imagers and spectrometers (ISIS). The experimental results demonstrated that compared with ISIS, the proposed orthorectification method can increase the computational efficiency by more than fivefold and deliver consistent geometric accuracy. The proposed orthorectification method greatly enhances geometric processing capabilities for massive planetary remote sensing images.
机译：行星体的数字正射影像图在着陆点选择，导线路径规划和科学研究中起着重要作用。但是，现有的行星映射社区中的正射矫正方法对于线性推扫帚图像显示出较低的计算效率。为了解决这个问题，这封信提出了一种基于改进的反投影算法的正射矫正方法。反投影算法基于中央透视平面（CPP）的几何约束，并且经过进一步改进以处理带有失真的线性推扫帚图像。具体来说，我们将焦平面中的线性阵列分割为多个线段，并使用简单的解析几何计算找到确切的CPP。所提出的方法已通过著名的行星测绘软件包，即成像仪和光谱仪的集成系统（ISIS）进行了全面测试和评估。实验结果表明，与ISIS相比，提出的正射校正方法可以将计算效率提高五倍以上，并提供一致的几何精度。提出的正射校正方法极大地增强了对大规模行星遥感图像的几何处理能力。

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