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| Main Authors: | , , , , , , |
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| Format: | Preprint |
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2026
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2603.00273 |
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| _version_ | 1866911474482413568 |
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| author | Gallastegi, Unay Dorken Shangguan, Wentao Choudhary, Vaibhav Agarwal, Akshay Rueda-Chacón, Hoover Stevens, Martin J. Goyal, Vivek K |
| author_facet | Gallastegi, Unay Dorken Shangguan, Wentao Choudhary, Vaibhav Agarwal, Akshay Rueda-Chacón, Hoover Stevens, Martin J. Goyal, Vivek K |
| contents | Passive long-wave infrared (LWIR) absorption-based ranging relies on atmospheric absorption to estimate distances to objects from their emitted thermal radiation. First demonstrated decades ago for objects much hotter than the air and recently extended to scenes with low temperature variations, this ranging has depended on reflected radiance being negligible. Downwelling radiance is especially problematic, sometimes causing large inaccuracies. In two new ranging methods, we use characteristic features from ozone absorption to estimate the contribution of reflected downwelling radiance. The quadspectral method gives a simple closed-form range estimate from four narrowband measurements, two at a water vapor absorption line and two at an ozone absorption line. The hyperspectral method uses a broader spectral range to improve accuracy while also providing estimates of temperature, emissivity profiles, and contributions of downwelling from a collection of zenith angles. Experimental results demonstrate improved ranging accuracy, in one case reducing error from over 100 m when reflected light is not modeled to 6.8 m with the quadspectral method and 1.2 m with the hyperspectral method. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2603_00273 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | Ozone Cues Mitigate Reflected Downwelling Radiance in LWIR Absorption-Based Ranging Gallastegi, Unay Dorken Shangguan, Wentao Choudhary, Vaibhav Agarwal, Akshay Rueda-Chacón, Hoover Stevens, Martin J. Goyal, Vivek K Computer Vision and Pattern Recognition Signal Processing Passive long-wave infrared (LWIR) absorption-based ranging relies on atmospheric absorption to estimate distances to objects from their emitted thermal radiation. First demonstrated decades ago for objects much hotter than the air and recently extended to scenes with low temperature variations, this ranging has depended on reflected radiance being negligible. Downwelling radiance is especially problematic, sometimes causing large inaccuracies. In two new ranging methods, we use characteristic features from ozone absorption to estimate the contribution of reflected downwelling radiance. The quadspectral method gives a simple closed-form range estimate from four narrowband measurements, two at a water vapor absorption line and two at an ozone absorption line. The hyperspectral method uses a broader spectral range to improve accuracy while also providing estimates of temperature, emissivity profiles, and contributions of downwelling from a collection of zenith angles. Experimental results demonstrate improved ranging accuracy, in one case reducing error from over 100 m when reflected light is not modeled to 6.8 m with the quadspectral method and 1.2 m with the hyperspectral method. |
| title | Ozone Cues Mitigate Reflected Downwelling Radiance in LWIR Absorption-Based Ranging |
| topic | Computer Vision and Pattern Recognition Signal Processing |
| url | https://arxiv.org/abs/2603.00273 |