A0954
Title: Novel approaches for hyperspectral sensor-based BRDF measurement
Authors: Fadi Kizel - Technion-Israel Institute of Technology (Israel) [presenting]
Abstract: Studying the Bidirectional Reflectance Distribution Function (BRDF) of various land cover surfaces is essential in remote sensing. However, measuring the BRDF requires a proper setup and costly special equipment, e.g., the Gonioreflectometer. On the other hand, the recent development in sensing technology allowed for producing spectral cameras that are easy to operate and platforms that combine multiple sensors, for example, a spectroradiometer with an RGB camera. Using these advantages and considering the existing limitation, two novel approaches are presented for measuring the BRDF without requiring unique instruments. The first is suitable for spectral cameras and allows for analyzing the BRDF of surfaces in various scales by acquiring multiple overlapping images in a simple and time-saving way, sampling the desired object's Region Of Interest (ROI) in one image and automatically tracking it in the other images. The second relies on a camera-aided spectroradiometer that simultaneously acquires an RGB image beside the spectral measurement. In both cases, the Structure From Motion (SFM) process is used to retrieve the sensor locations. The results clearly show the highly accurate sensor position derived by SFM, providing zenith angles and distance from the scene's centre with mean errors around one degree and 2.5 centimetres, respectively.
