中文摘要：

为研究地面多角度遥感测量中的视场（FOV）效应问题,扩展了计算机真实结构模型,进行了玉米和小麦冠层的野外模拟测量和误差评估研究.扩展模块与POV-Ray模型进行了对比,验证结果一致.模拟测量分析表明,地面多角度观测试验中,FOV效应可导致近红外双向反射率（BRF）偏差接近0.1.玉米FOV效应比小麦明显.大FOV条件下,难以获得精确的热点位置、大小和宽度.研究弥补了真实结构模型在大FOV条件下的不足,证实了“定面积法”和“定像素法”的一致性,肯定了小麦冠层大FOV观测的可行性.研究结论将有助于地面定量遥感实验和理论建模.

英文摘要：

To investigate the FOV （ field of view） effect in field muhi-angular remote sensing, a realistic structural compu- tation model was extended to simulate the process of field measurements on maize and wheat canopies and assess FOV-induced measurement errors. The extended module was compared with the POV-Ray（ persistence of vision ray- tracer） model,and the same simulation results were obtained. The results showed that the FOV effect resulted in a large BRF（ bidirectional reflectance factor）error of 0.1 in near infrared regions. Maize canopies had a more signifi- cant FOV effect than wheat canopies. At a large FOV, the hotspot position, size and width could not be precisely captured. The extension improved simulation capabilities under large FOV conditions for realistic structural models. The simulation results confirmed the consistence between the ＂fix-area＂ method and the ＂fix-pixel＂ method, as well as the feasibility of using large FOV on wheat canopies. The conclusions will help field experiments and theoretical modeling of crop canopies, and provide support for muhi-angular remote sensing research.