Jove
Visualize
联系我们
JoVE
x logofacebook logolinkedin logoyoutube logo
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 JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

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

Carbon Nanofibrous Aerogels Derived from Electrospun Polyimide for Multifunctional Piezoresistive Sensors.

ACS applied materials & interfaces·2024
Same author

Living Synthelectronics: A New Era for Bioelectronics Powered by Synthetic Biology.

Advanced materials (Deerfield Beach, Fla.)·2024
Same author

Flexible and stretchable implantable devices for peripheral neuromuscular electrophysiology.

Nanoscale·2024
Same author

Food Security and Health Outcomes following Gray Divorce.

Nutrients·2024
Same author

Air pollution associated with hospital visits for mental and behavioral disorders in Northeast China.

Frontiers in epidemiology·2024
Same author

The Idesia polycarpa genome provides insights into its evolution and oil biosynthesis.

Cell reports·2024
Same journal

A tri-axis optomechanical accelerometer with plasmonic MIM waveguide and structural direction-dependent optical signatures.

Scientific reports·2026
Same journal

Holographic leaky-wave antennas with independently controlled multiple counter-rotating vortex beams.

Scientific reports·2026
Same journal

Differential associations of longitudinal hearing and vision trajectories with dementia and mild cognitive impairment in older adults.

Scientific reports·2026
Same journal

Abdominal obesity and leisure-time sedentary behavior in relation to gastroesophageal reflux disease risk: a prospective cohort study from the UK Biobank.

Scientific reports·2026
Same journal

Effect of nitrogen-rich COF incorporation on the structure and separation performance of polyamide nanofiltration membranes.

Scientific reports·2026
Same journal

Withanolide A inhibits hIAPP aggregation: An In silico, biophysical, and drosophila-based In vivo validation.

Scientific reports·2026
查看所有相关文章

相关实验视频

Updated: Jun 7, 2025

Author Spotlight: Using Hyperpolarized Xenon-129 MRI to Study Lung Diseases
09:55

Author Spotlight: Using Hyperpolarized Xenon-129 MRI to Study Lung Diseases

Published on: January 5, 2024

1.1K

基于改进的哈里斯霍克优化算法和XGBoost的SAR图像质量评估方法的研究

Min Huang1,2, Hang Zhao2, Yazhou Chen3

  • 1Army Engineering University, Shijiazhuang Campus, Shijiazhuang, 050003, China.

Scientific reports
|November 17, 2024
PubMed
概括
此摘要是机器生成的。

本研究引入了一种使用客观和主观数据评估合成孔径雷达 (SAR) 图像质量的新方法. 开发的IHHO-XGBoost模型显著改善了SAR图像质量评估,以更好地检测目标.

更多相关视频

Applying Hyperspectral Reflectance Imaging to Investigate the Palettes and the Techniques of Painters
07:05

Applying Hyperspectral Reflectance Imaging to Investigate the Palettes and the Techniques of Painters

Published on: June 18, 2021

2.4K
Author Spotlight: Insights into Visual Cortex Research Through Wide-View fMRI Mapping
07:11

Author Spotlight: Insights into Visual Cortex Research Through Wide-View fMRI Mapping

Published on: December 8, 2023

1.4K

相关实验视频

Last Updated: Jun 7, 2025

Author Spotlight: Using Hyperpolarized Xenon-129 MRI to Study Lung Diseases
09:55

Author Spotlight: Using Hyperpolarized Xenon-129 MRI to Study Lung Diseases

Published on: January 5, 2024

1.1K
Applying Hyperspectral Reflectance Imaging to Investigate the Palettes and the Techniques of Painters
07:05

Applying Hyperspectral Reflectance Imaging to Investigate the Palettes and the Techniques of Painters

Published on: June 18, 2021

2.4K
Author Spotlight: Insights into Visual Cortex Research Through Wide-View fMRI Mapping
07:11

Author Spotlight: Insights into Visual Cortex Research Through Wide-View fMRI Mapping

Published on: December 8, 2023

1.4K

科学领域:

  • 遥感 遥感 遥感 遥感
  • 人工智能的人工智能
  • 图像处理 图像处理

背景情况:

  • 合成孔径雷达 (SAR) 对于军事侦察和遥感至关重要.
  • SAR图像质量直接影响目标检测性能,需要进行预先评估.
  • 现有的方法可能无法完全解决SAR图像质量评估的复杂性.

研究的目的:

  • 提出一个全面的SAR图像质量评估方法.
  • 开发一个优化的机器学习模型,用于准确的SAR图像质量评估.
  • 通过改进图像质量评估,提高目标检测的准确性和效率.

主要方法:

  • 在SAR船舶检测数据集 (SSDD) 上生成扰乱的SAR图像和计算客观质量指标.
  • 通过人类评估对图像分配主观质量标签,以创建一个全面的数据集.
  • 开发了IHHO-XGBoost模型,通过改进的哈里斯霍克优化 (IHHO) 算法优化极端梯度提升 (XGBoost) 超参数.

主要成果:

  • 通过避免局部最佳并保持人口多样性,IHHO算法表现出优于传统HHO的性能.
  • 对比实验证实了IHHO-XGBoost模型在SAR图像质量评估中的优越性.
  • 提出的方法显示了科学有效性和实际可用性.

结论:

  • 开发的全面SAR图像质量评估方法是有效的.
  • IHHO-XGBoost模型为SAR图像质量评估提供了一个强大的工具.
  • 这项研究为SAR图像质量研究和应用提供了进步.