الملخص
Passive long-wave infrared (LWIR) hyperspectral ranging enables distance estimation in low-light and nighttime scenes by exploiting atmospheric absorption features in thermal radiance received through the atmosphere.Joint estimation of temperature, emissivity, and distance is computationally expensive. Reference-range joint inversion also uses a distance-invariant effective attenuation coefficient, which can bias range estimates.We introduce transmittance extraction and distance alignment (TEDA), which decouples range estimation from temperature--emissivity inversion. In the first stage, a baseline estimator with a data-fidelity term invariant to the known absorption direction yields two closed-form smoothing branches for the slowly varying thermal continuum. An observation-derived gate combines the branches, and subtracting the blended baseline in the log domain recovers atmospheric transmittance. The second stage estimates range by matching the recovered transmittance to sensor-domain transmittance models recomputed for each candidate distance. Monte Carlo simulations show that TEDA effectively reduces the ranging bias caused by the distance-invariant attenuation coefficient approximation. In a measured scene, TEDA's mean range estimates are closer to the LiDAR medians than those of reference-range joint inversion in both evaluated patches. TEDA processes a complete $256\times256$ region of interest in 8.19~s versus 159.47~s for reference-range joint inversion, an approximately 20-fold speedup.
الكلمات المفتاحية
الموضوع
بيانات النشر
- المجلة
- غير متاح
- وصول مفتوح
- وصول مفتوح أخضر
اقتبس هذه المقالة
APA 7
Chen, Z., Fan, C., Liu, S., Huang, X., He, Y., He, X., & Zhang, L. (2026). Passive LWIR Hyperspectral Ranging via Transmittance Extraction and Distance Alignment. https://omanscience.com/ar/articles/passive-lwir-hyperspectral-ranging-via-transmittance-extraction-and-distance-alignment
MLA 9
Chen, Zhihe, et al. "Passive LWIR Hyperspectral Ranging via Transmittance Extraction and Distance Alignment." https://omanscience.com/ar/articles/passive-lwir-hyperspectral-ranging-via-transmittance-extraction-and-distance-alignment.
شيكاغو (المؤلف–التاريخ)
Chen, Zhihe, Chen Fan, Shuo Liu, Xiaolin Huang, Yunze He, Xiaofeng He, and Lilian Zhang. 2026. "Passive LWIR Hyperspectral Ranging via Transmittance Extraction and Distance Alignment." https://omanscience.com/ar/articles/passive-lwir-hyperspectral-ranging-via-transmittance-extraction-and-distance-alignment.
هارفارد
Chen, Z., Fan, C., Liu, S., Huang, X., He, Y., He, X. and Zhang, L. (2026) 'Passive LWIR Hyperspectral Ranging via Transmittance Extraction and Distance Alignment', Available at: https://omanscience.com/ar/articles/passive-lwir-hyperspectral-ranging-via-transmittance-extraction-and-distance-alignment.
فانكوفر
Chen Z, Fan C, Liu S, Huang X, He Y, He X, et al. Passive LWIR Hyperspectral Ranging via Transmittance Extraction and Distance Alignment. https://omanscience.com/ar/articles/passive-lwir-hyperspectral-ranging-via-transmittance-extraction-and-distance-alignment
IEEE
Z. Chen, C. Fan, S. Liu, X. Huang, Y. He, X. He, and L. Zhang, "Passive LWIR Hyperspectral Ranging via Transmittance Extraction and Distance Alignment," https://omanscience.com/ar/articles/passive-lwir-hyperspectral-ranging-via-transmittance-extraction-and-distance-alignment.