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Demonstrates enhanced thermometry and ranging in remote sensing, suggesting improved accuracy in thermal assessment.
While metasurfaces offer a pathway beyond the discrete architectures of conventional LWIR systems, physically fusing high‐precision thermometry and passive ranging onto a single metalens remains a formidable challenge. Here, we demonstrate a monolithic, dual‐focus metalens capable of simultaneous multidimensional sensing. By multiplexing two distinct focal lengths into a single metasurface, the system enables the parallel acquisition of spectral and spatial information. For thermal sensing, we implement a dual‐band (9.6 and 10.6 µm) ratiometric method that effectively mitigates target emissivity uncertainty under the gray‐body assumption. This approach yields a mean absolute temperature error of 13.58°C (∼3% relative error) and exhibits exceptional linearity (R 2 > 0.916) across 100°C–450°C. Concurrently, the dual‐focus architecture facilitates passive depth acquisition by capturing differential defocus signatures. A depth retrieval model based on the normalized defocus response establishes a robust linear relationship with inverse depth (R 2 = 0.916), with measurement deviations primarily confined within the 95% confidence interval across the 15–25 cm range. Our approach opens a pathway for transitioning from discrete sensors to monolithic, chip‐scale intelligent perception platforms, enhancing simultaneous thermometry and ranging for remote targets without compromising diffraction‐limited imaging performance.
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Yuan et al. (2026) studied this question.
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