Spectral imaging technique plays a very vital role in the field of chemical detection and identification. Conventional spectroscopic imaging techniques suffer from massive acquisition time. This limitation sometimes restricts it from many practical applications. The acquisition of a full spectral image requires huge acquisition time. In this Letter, a compressive sensing-based single-pixel camera architecture has been realised to acquire spectral images that can be used for non-destructive testing and classification of explosive materials. The compressive measurements for all the spectral images are done simultaneously thus reducing the acquisition time significantly. The spectro-spatial images were reconstructed using the basis pursuit algorithm and compared with least square solutions, which resulted in fast acquisition and improved image quality. The maximum compression rate achieved was 95.84%.

中文翻译：

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使用基于压缩感测的单像素模态的光谱成像

光谱成像技术在化学检测和鉴定领域中起着至关重要的作用。常规的光谱成像技术需要大量的采集时间。该限制有时会限制它在许多实际应用中的使用。采集完整光谱图像需要大量的采集时间。在这封信中，已经实现了基于压缩感测的单像素相机体系结构，以获取可用于炸药的非破坏性测试和分类的光谱图像。所有光谱图像的压缩测量同时进行，因此大大减少了采集时间。使用基本追踪算法重建了光谱空间图像，并与最小二乘解进行了比较，从而实现了快速采集并提高了图像质量。达到的最大压缩率是95.84％。