Greiner Michael A, Duncan Bradley D, Dierking Matthew P
Electro-Optics Program, University of Dayton, 300 College Park, Dayton, Ohio 45469-1245, USA.
Appl Opt. 2009 Nov 10;48(32):6159-71. doi: 10.1364/AO.48.006159.
Detecting objects hidden beneath forest canopies is a difficult task for optical remote sensing systems. Rather than relying upon the existence of gaps between leaves, as other researchers have done, our ultimate goal is to use light scattered by leaves to image through dense foliage. Herein we describe the development of a Monte Carlo model for simulating the scattering of light as it propagates through the leaves of an extended tree canopy. We measured several parameters, including the gap fraction and maximum leaf-area density, of a nearby sugar maple tree grove and applied them to our model. We report the results of our simulation in both the ground and the receiver planes for an assumed illumination angle of 80 degrees. To validate our model, we then illuminated the sugar maple tree grove at 80 degrees and collected data both on the canopy floor and at our monostatic receiver aperture. Experimental results were found to correlate well with our simulated expectations.
对于光学遥感系统而言,检测隐藏在森林树冠层之下的物体是一项艰巨的任务。与其他研究人员依赖树叶间隙的存在不同,我们的最终目标是利用树叶散射的光透过茂密的树叶进行成像。在此,我们描述了一个蒙特卡洛模型的开发,用于模拟光在扩展树冠层树叶中传播时的散射。我们测量了附近糖枫林的几个参数,包括间隙分数和最大叶面积密度,并将它们应用于我们的模型。对于假定的80度照明角度,我们报告了地面和接收器平面上的模拟结果。为了验证我们的模型,我们随后以80度照射糖枫林,并在树冠层地面和单基地接收器孔径处收集数据。实验结果与我们的模拟预期具有良好的相关性。