首页> 外文期刊>Journal of Applied Remote Sensing >Spectro-polarimetric bidirectional reflectance distribution function determination of in-scene materials and its use in target detection applications
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Spectro-polarimetric bidirectional reflectance distribution function determination of in-scene materials and its use in target detection applications

机译:现场材料的光谱偏振双向反射率分布函数测定及其在目标检测中的应用

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摘要

For sensing systems that characterize the spectro-polarimetric radiance reaching the camera, the origin of the sensed phenomenology is a complex mixture of sources. While some of these sources do not contribute to the polarimetric signature, many do such as the polarization state of the downwelled sky radiance, the target and background p-BRDF(polarimetric bidirectional reflectance distribution function), the polarization state of the upwelled path radiance, and the sensor Mueller matrix transfer function. In this paper we derive portions of the p-BRDF in terms of both the spectral diffuse and polarimetric specular components of the reflectance using an in-scene calibration technique. This process is applied to simulated data, laboratory data, and data from a field collection. Spectra of a car panel for clean and contaminated states derived using laboratory data are injected into a hyperspectral image cube. It is shown how this target can be identified using a target specific tracking vector derived from its polarimetric signature as it moves between spatial locations within a scene.
机译:对于表征到达照相机的光谱偏振辐射率的传感系统,所感测现象的起源是各种源的复杂混合。尽管其中一些辐射源对极化特征无贡献,但许多辐射源对下行辐射的极化状态,目标和背景p-BRDF(极化双向反射率分布函数)的极化状态,上升流径辐射的极化状态,以及传感器Mueller矩阵传递函数。在本文中,我们采用现场校准技术,根据反射率的光谱扩散和偏振镜面反射分量得出了p-BRDF的部分。此过程适用于模拟数据,实验室数据和现场采集的数据。使用实验室数据得出的用于清洁和污染状态的汽车面板的光谱被注入到高光谱图像立方体中。它显示了如何使用目标特有的跟踪矢量(在其在场景内的空间位置之间移动时)从其极化特征得出的目标来识别该目标。

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