We present Inverse Airborne Optical Sectioning (IAOS) an optical analogy to Inverse Synthetic Aperture Radar (ISAR). Moving targets, such as walking people, that are heavily occluded by vegetation can be made visible and tracked with a stationary optical sensor (e.g., a hovering camera drone above forest). We introduce the principles of IAOS (i.e., inverse synthetic aperture imaging), explain how the signal of occluders can be further suppressed by filtering the Radon transform of the image integral, and present how targets motion parameters can be estimated manually and automatically. Finally, we show that while tracking occluded targets in conventional aerial images is infeasible, it becomes efficiently possible in integral images that result from IAOS.
翻译:我们向反空载光分解(IAOS)提供了一种与反合成孔径雷达(ISAR)的光学类比(IAOS),移动目标,例如行走的人,被植被严重覆盖,可以通过固定光学传感器(例如,在森林上徘徊的照相机无人机)加以可见和跟踪。我们引入了IAOS的原则(即,反合成孔径成像),解释如何通过过滤图像集成的Radon变形来进一步抑制渗入物的信号,并展示如何手工和自动估计目标运动参数。最后,我们表明,虽然常规航空图像中的隐蔽目标追踪不可行,但在由IAOS产生的整体图像中却变得有效可行。