Table 4.
Typical algorithm denoising schemes and results
| Schemes | Sensing distance | Temperature accuracy | Figures of merit | Year |
|---|---|---|---|---|
| Short term fourier transform93 | 0.23 km | 0.50 °C | 0.46 | 2014 |
| Dynamic sampling-correction scheme94 | 20.0 km | 1.00 °C | 20 | 2015 |
| Deconvolution algorithms101 | 30.0 km | 2.70 °C | 11.11 | 2015 |
| Total variation deconvolution103 | 1.3 km | 0.10 °C | 13 | 2016 |
| D-SVD algorithms104 | 0.60 km | 0.87 °C | 0.68 | 2019 |
| Principal component analysis105 | 0.65 km | 0.30 °C | 2.16 | 2020 |
| Deep learning99 | 10.0 km | 0.70 °C | 14.28 | 2020 |