研究人员开发了用于恢复热红外高光谱图像的新框架，解决了当前忽略潜在热物理学方法的局限性。一种方法HAIR使用基于物理的模型，该模型结合了HADAR渲染方程和大气辐射传输，以温度、发射率和纹理为基础恢复图像。另一种方法HIR-ALIGN采用基于扩散的数据生成来创建符合目标域分布的合成训练数据，从而提高在真实世界数据集上的恢复性能。 AI
影响 高光谱图像恢复的进步可以改善遥感、监控和材料分析等应用。
排序理由 两篇研究论文介绍了高光谱图像恢复的新方法。
AI 生成摘要 · Google Gemini · 来自 2 个来源。 我们如何撰写摘要 →
Thermal-infrared (TIR) hyperspectral imagery (HSI) provides critical scene information for various applications. However, its practical utility is severely limited by unique sensor degradations beyond the capabilities of existing restoration methods, which are ignorant of underly…
Hyperspectral image (HSI) restoration is crucial for reliable analysis, as real HSIs suffer from degradations like noise, blur, and resolution loss. However, existing models trained on source data often fail on target domains lacking clean references, a common occurrence in pract…