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基于改进的密集嵌套U-Net网络的红外小目标检测算法

Xinyue Du1, Ke Cheng2, Jin Zhang1

  • 1Kunming Institute of Physics, Kunming 650223, China.

Sensors (Basel, Switzerland)
|February 13, 2025
PubMed
概括

本研究介绍了IDNA-UNet,这是一个改进的深度学习模型,用于检测小型红外目标. 它增强了特征融合,并使用尺度敏感损失来显著提高检测准确性并减少错误报警.

关键词:
注意力机制注意力机制底部向上功能融合融合功能红外小目标检测 红外小目标检测

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相关概念视频

IR Frequency Region: Fingerprint Region01:03

IR Frequency Region: Fingerprint Region

IR spectra are divided into two main regions: the diagnostic region and the fingerprint region. The diagnostic region of the spectrum lies above 1500 cm−1. The absorptions resulting from single-bond vibrations of the N–H, C–H, and O–H stretch at higher wavenumbers and appear on the left side of the spectrum. The stretching absorptions of the C≡C and C≡N occur between 2100–2300 cm−1. In contrast, those arising from stretching absorptions of the C=O, C=N, and C=C occur between 1600–1850 cm−1.
The...