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首页> 外文学位 >Polarimetric remote sensing system analysis: Digital Imaging and Remote Sensing Image Generation (DIRSIG) model validation and impact of polarization phenomenology on material discriminability.
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Polarimetric remote sensing system analysis: Digital Imaging and Remote Sensing Image Generation (DIRSIG) model validation and impact of polarization phenomenology on material discriminability.

机译：极化遥感系统分析：数字成像和遥感图像生成（DIRSIG）模型验证以及极化现象学对材料可分辨性的影响。

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摘要

In addition to spectral information acquired by traditional multi/hyperspectral systems, passive electro optical and infrared (EO/IR) polarimetric sensors also measure the polarization response of different materials in the scene. Such an imaging modality can be useful in improving surface characterization; however, the characteristics of polarimetric systems have not been completely explored by the remote sensing community. Therefore, the main objective of this research was to advance our knowledge in polarimetric remote sensing by investigating the impact of polarization phenomenology on material discriminability. The first part of this research focuses on system validation, where the major goal was to assess the fidelity of the polarimetric images simulated using the Digital Imaging and Remote Sensing Image Generation (DIRSIG) model. A theoretical framework, based on polarization vision models used for animal vision studies and industrial defect detection applications, was developed within which the major components of the polarimetric image chain were validated. In the second part of this research, a polarization physics based approach for improved material discriminability was proposed. This approach utilizes the angular variation in the polarization response to infer the physical characteristics of the observed surface by imaging the scene in three different view directions. The usefulness of the proposed approach in improving detection performance in the absence of apriori knowledge about the target geometry was demonstrated. Sensitivity analysis of the proposed system for different scene related parameters was performed to identify the imaging conditions under which the material discriminability is maximized. Furthermore, the detection performance of the proposed polarimetric system was compared to that of the hyperspectral system to identify scenarios where polarization information can be very useful in improving the target contrast.
机译：除了通过传统的多/高光谱系统获取的光谱信息之外，无源电光和红外（EO / IR）偏振传感器还可以测量场景中不同材料的偏振响应。这种成像方式可用于改善表面特性。然而，偏振波系统的特性尚未被遥感界完全探索。因此，这项研究的主要目的是通过研究极化现象学对材料可辨别性的影响来提高我们在极化遥感方面的知识。本研究的第一部分侧重于系统验证，其主要目标是评估使用数字成像和遥感图像生成（DIRSIG）模型模拟​​的偏振图像的保真度。建立了基于用于动物视觉研究和工业缺陷检测应用的偏振视觉模型的理论框架，在其中验证了偏振图像链的主要组成部分。在本研究的第二部分中，提出了一种基于极化物理学的方法来改善材料的可分辨性。该方法利用偏振响应中的角度变化，通过在三个不同视图方向上对场景进行成像来推断观察到的表面的物理特性。在没有关于目标几何的先验知识的情况下，证明了所提出的方法在提高检测性能方面的有用性。进行了针对不同场景相关参数的拟议系统的灵敏度分析，以识别使材料可分辨性最大化的成像条件。此外，将提议的偏振系统的检测性能与高光谱系统的检测性能进行了比较，以识别偏振信息在改善目标对比度方面非常有用的场景。

著录项

  • 作者

    Devaraj, Chabitha.;

  • 作者单位

    Rochester Institute of Technology.;

  • 授予单位 Rochester Institute of Technology.;
  • 学科 Remote Sensing.
  • 学位 Ph.D.
  • 年度 2010
  • 页码 166 p.
  • 总页数 166
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 公共建筑;
  • 关键词

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