<p>Optical remote sensing is a crucial component of the ocean observation system. However, the complex interactions between the ocean and atmosphere limit its observation capability and hinder the advancement of quantitative applications and support capacity. Polarimetric remote sensing, as an advanced detection technology, investigates the anisotropic characteristics of electromagnetic waves perpendicular to the direction of propagation. Serving as an extension of conventional optical remote sensing, it significantly improves the accuracy of feature identification and quantitative estimation. As the most classical polarization feature, the Degree of Polarization (DoP) feature has been widely applied in various scenarios. In this study, the spatial distribution of the DoP feature over the 2<i>π</i> observation space under oceanic conditions is thoroughly investigated through theoretical simulations and sample measurements. Our findings suggest that the DoP feature lacks sufficient sensitivity and versatility to be used independently in ocean observation scenarios. To address this limitation, a novel feature, namely the Angular Polarization (AP) feature, is proposed for polarimetric remote sensing tailored to ocean applications. The effectiveness of this new feature is validated in three representative ocean observation scenarios, and its performance is compared against both conventional optical feature and DoP feature. The results demonstrate that the AP feature offers distinct advantages in differentiating ocean bodies with varying refractive indices and in emphasizing the differences between observed targets. Moreover, its application enhances the accuracy of unsupervised classification for ocean observations. The establishment of the AP feature greatly strengthens the information-sensing capacity of polarimetric ocean remote sensing, offering a promising pathway to enhance the overall performance of ocean observation systems.</p>

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Polarimetric ocean remote sensing: Classic feature analysis and novel feature establishment

  • Zihan Zhang,
  • Lei Yan,
  • Xingwei Jiang,
  • Feizhou Zhang,
  • Jing Ding,
  • Yuhua Xu,
  • Ke Shang,
  • Zhaoyu Liu

摘要

Optical remote sensing is a crucial component of the ocean observation system. However, the complex interactions between the ocean and atmosphere limit its observation capability and hinder the advancement of quantitative applications and support capacity. Polarimetric remote sensing, as an advanced detection technology, investigates the anisotropic characteristics of electromagnetic waves perpendicular to the direction of propagation. Serving as an extension of conventional optical remote sensing, it significantly improves the accuracy of feature identification and quantitative estimation. As the most classical polarization feature, the Degree of Polarization (DoP) feature has been widely applied in various scenarios. In this study, the spatial distribution of the DoP feature over the 2π observation space under oceanic conditions is thoroughly investigated through theoretical simulations and sample measurements. Our findings suggest that the DoP feature lacks sufficient sensitivity and versatility to be used independently in ocean observation scenarios. To address this limitation, a novel feature, namely the Angular Polarization (AP) feature, is proposed for polarimetric remote sensing tailored to ocean applications. The effectiveness of this new feature is validated in three representative ocean observation scenarios, and its performance is compared against both conventional optical feature and DoP feature. The results demonstrate that the AP feature offers distinct advantages in differentiating ocean bodies with varying refractive indices and in emphasizing the differences between observed targets. Moreover, its application enhances the accuracy of unsupervised classification for ocean observations. The establishment of the AP feature greatly strengthens the information-sensing capacity of polarimetric ocean remote sensing, offering a promising pathway to enhance the overall performance of ocean observation systems.