物理仿真模型驱动的热红外高光谱图像重建最优谱段分析

doi:10.16182/j.issn1004731x.joss.25-FZ0720

摘要/Abstract

摘要：

为解决有限谱段下热红外高光谱图像的精确重建问题，提出一种基于物理建模与仿真的重建方法。采用半全局分解算法，基于热辐射物理模型反演场景的热物理属性，仿真生成全波段高光谱数据。提出一种融合温度反演敏感性与材料光谱可分性的物理模型驱动谱段优选策略。通过在仿真与实测数据集上进行实验，评估不同谱段数量和选择策略下的材料识别、温度反演及光谱重建性能。仿真结果表明：该策略在谱段数量较少时，提升了热物理属性的反演精度。在光谱重建方面，该策略通过保证关键波数区域的仿真精度，有效抑制了局部误差峰值，提升了重建的整体稳定性与可靠性。

关键词: 热红外, 高光谱, 光谱重建, 半全局分解, 温度发射率分离, 谱段优化

Abstract:

To achieve accurate reconstruction of thermal infrared hyperspectral images under limited spectral bands, this paper proposed a reconstruction method based on physical modeling and simulation. Semi-global decomposition algorithm was adopted to invert the thermophysical properties of the scenario based on the physical model of thermal radiation, simulating and generating full-band hyperspectral data. An optimal spectral band selection strategy driven by a physical model was proposed, which integrated the sensitivity of temperature inversion and the separability of material spectra. Experiments were conducted on both simulated and measured datasets to evaluate the performance of material identification, temperature inversion, and spectral reconstruction under different numbers of spectral bands and selection strategies.Simulation results show that the proposed strategy improves the inversion accuracy of thermophysical properties when the number of spectral bands is small. In terms of spectral reconstruction, the strategy effectively suppresses local error peaks and improves the overall stability and reliability of reconstruction by ensuring the simulation accuracy of critical wavenumber regions.

Key words: thermal infrared, hyperspectral, spectral reconstruction, semi-global decomposition, temperature and emissivity separation, spectral band optimization

中图分类号:

TP751.1

杨永浩,何晓雨 . 物理仿真模型驱动的热红外高光谱图像重建最优谱段分析[J]. 系统仿真学报, 2025, 37(12): 3189-3201.

Yang Yonghao,He Xiaoyu . Analysis of Optimal Spectral Bands for Thermal Infrared Hyperspectral Image Reconstruction Driven by Physical Simulation Model[J]. Journal of System Simulation, 2025, 37(12): 3189-3201.

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参数	仿真场景4	实测场景11
数据尺寸	1 080×1 920×54	260×1 500×49
波数范围/cm^-1	720:10:1 250	760:10:1 240
材料种类数	4	6