Search research articles

关于 JoVE

概览领导团队博客 JoVE 帮助中心

作者

出版流程编辑委员会范围与政策同行评审常见问题投稿

图书馆员

用户评价订阅访问资源图书馆顾问委员会常见问题

研究

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments 存档

教育

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual 教师资源中心教师网站

使用条款与条件

Search research articles

相关实验视频

Updated: Jan 7, 2026

Scattering And Absorption of Light in Planetary Regoliths

Scattering And Absorption of Light in Planetary Regoliths

Published on: July 1, 2019

根据微波反射贡献分解模型,在混合像素内估计端子反射系数.

Yubin Song^1,2, Zhitong Zhang², Hongwei Zheng^3,4,5

¹XinJiang Huier Agriculture Group Co., Ltd., Changji 831100, China.

Sensors (Basel, Switzerland)

|December 31, 2025

概括

相关概念视频

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序

Same author

Soluble dietary fiber from Piper sarmentosum Roxb. leaves modulates gut microbiota-derived cis-11-eicosenoic acid to regulate lipid metabolism.

International journal of biological macromolecules·2026

Same author

Contextual stressors and multidimensional mental health among university students during the COVID-19 period: a construct-level network analysis.

BMC psychology·2026

Same author

Bisphenol S induces lipid metabolic disruption associated with SREBP signaling in Caenorhabditis elegans.

Ecotoxicology and environmental safety·2026

Same author

Mitochondrial Fission Regulator 1-Like Protein Protects the Heart from Ischemia/Reperfusion Injury via Dual Mitochondrial Mechanisms.

Research (Washington, D.C.)·2026

Same author

Genetic diversity and association analysis between agronomic traits and EST-SSR markers in Chinese chive (<i>Allium tuberosum</i>).

Frontiers in plant science·2026

Same author

From the Gobi to the Sahel: Can China's anti-desertification model work in Africa?

Ambio·2026

这项研究引入了一种新模型,用于估计合成孔径雷达 (SAR) 图像中混合像素的纯雷达反射信号. 这种方法提高了表面参数反转的准确性,特别是在土壤和草原的末端.

科学领域:

遥感遥感遥感遥感
地质物理学地质物理学
电磁学电磁学电磁学电磁学

背景情况:

合成孔径雷达 (SAR) 图像中的混合像素污染是由于土地类型的复杂性和空间分辨率有限而造成的重大挑战.
混合像素中的多个终端成员的反向散射贡献的组合妨碍了精确的表面参数反转.
很少有研究解决了这些混合像素中的纯背散射信号的分解和估计.

研究的目的:

提出和验证一种新的方法,用于在混合SAR像素中估计终端成员的纯反向散射系数.
通过解决信号混合问题来提高表面参数反转的准确性.
评估模型在不同端子丰度和类型的性能.

主要方法:

使用超光谱除技术与微波反射散射贡献分解 (MBCD) 模型相结合.
估计混合像素内个别端子的纯反射散射系数.
基于端子丰富度,植被覆盖面和端子数量的模型性能评估.

主要成果:

在植被覆盖率低于25% (R2≈0.88) 的情况下,观察到高精度估计土壤回散系数.
对土壤的估计准确性随着植被覆盖面的增加而下降.
该模型在广泛的植被覆盖面 (0.2-0.8) 上保持了草端子的高精度,R2=0.80.

关键词:

终端成员终端成员超光谱的不混合.微波回散贡献分解模型中的微波回散贡献分解模型.雷达反射散射系数雷达反射散射系数

更多相关视频

Assembly and Characterization of Polyelectrolyte Complex Micelles

Assembly and Characterization of Polyelectrolyte Complex Micelles

Published on: March 2, 2020

In situ Grazing Incidence Small Angle X-ray Scattering on Roll-To-Roll Coating of Organic Solar Cells with Laboratory X-ray Instrumentation

In situ Grazing Incidence Small Angle X-ray Scattering on Roll-To-Roll Coating of Organic Solar Cells with Laboratory X-ray Instrumentation

Published on: March 2, 2021

相关实验视频

Last Updated: Jan 7, 2026

Scattering And Absorption of Light in Planetary Regoliths

Scattering And Absorption of Light in Planetary Regoliths

Published on: July 1, 2019

Assembly and Characterization of Polyelectrolyte Complex Micelles

Assembly and Characterization of Polyelectrolyte Complex Micelles

Published on: March 2, 2020

In situ Grazing Incidence Small Angle X-ray Scattering on Roll-To-Roll Coating of Organic Solar Cells with Laboratory X-ray Instrumentation

In situ Grazing Incidence Small Angle X-ray Scattering on Roll-To-Roll Coating of Organic Solar Cells with Laboratory X-ray Instrumentation

Published on: March 2, 2021

结论:

拟议的MBCD模型有效地估计了混合SAR像素的纯反射散射系数.
模型性能受到终端成员的丰富性和类型的显著影响,根据植被覆盖范围的准确性有所不同.
该方法提供了一种有前途的方法,用于提高复杂的土地覆盖场景中的表面参数反转精度.