论文标题
施加误差降低，以增强热合成孔径可视化的焦点
Pose Error Reduction for Focus Enhancement in Thermal Synthetic Aperture Visualization
论文作者
论文摘要
机载光学截面是一种有效的空中合成孔径成像技术，用于揭示森林遮住的伪影，需要精确测量无人机姿势。在本文中，我们提出了一种新的方法，将姿势估计错误从常规观点N点解决方案的可能性中降低到可能性，通过将基本优化视为重点问题。我们提出了一种有效的图像集成技术，该技术还减少了参数搜索空间以实现现实处理时间，并提高了所得合成积分图像的质量。
Airborne optical sectioning, an effective aerial synthetic aperture imaging technique for revealing artifacts occluded by forests, requires precise measurements of drone poses. In this article we present a new approach for reducing pose estimation errors beyond the possibilities of conventional Perspective-n-Point solutions by considering the underlying optimization as a focusing problem. We present an efficient image integration technique, which also reduces the parameter search space to achieve realistic processing times, and improves the quality of resulting synthetic integral images.
