Comment by mikewarot
Note that the precision is very good, however the accuracy is nowhere near as close (fractions of a metre) in the atmosphere, due to the variable refractive index of air. Long term averages can help, of course.
Note that the precision is very good, however the accuracy is nowhere near as close (fractions of a metre) in the atmosphere, due to the variable refractive index of air. Long term averages can help, of course.
From https://news.ycombinator.com/item?id=42330179 .. https://www.notebookcheck.net/University-of-Tokyo-researcher... :
> multispectral [UV + IR] camera ... optical, non-contact method to detect [blood pressure, hypertension, blood glucose levels, and diabetes]." [ for "Non-Contact Biometric System for Early Detection of Hypertension and Diabetes" https://www.ahajournals.org/doi/10.1161/circ.150.suppl_1.413... ]
>> "Tongue Disease Prediction Based on Machine Learning Algorithms" (2024) https://www.mdpi.com/2227-7080/12/7/97 :
>>> new imaging system to analyze and extract tongue color features at different color saturations and under different light conditions from five color space models (RGB, YcbCr, HSV, LAB, and YIQ). [ and XGboost ]
They talk about this technique for ranging between satellites, which wouldn't have to deal with atmospheric conditions.
For ranging in an atmosphere they suggest dual-comb spectroscopy or two-color methods to account for the atmospheric changes.