Articles | Volume 15, issue 19
https://doi.org/10.5194/amt-15-5793-2022
© Author(s) 2022. This work is distributed under the Creative Commons Attribution 4.0 License.
Research article
| 
14 Oct 2022
Research article |
| 14 Oct 2022
| 14 Oct 2022
Neural network processing of holographic images
Related authors
EGUsphere, 2025
This preprint is open for discussion and under review for Atmospheric Measurement Techniques (AMT).
EGUsphere, 2025
This preprint is open for discussion and under review for Atmospheric Measurement Techniques (AMT).
Atmos. Chem. Phys., 24, 13935–13960, 2024
Wind Energ. Sci., 8, 1251–1275, 2023
Cited articles
Agrawal, S., Barrington, L., Bromberg, C., Burge, J., Gazen, C., and Hickey, J.: Machine learning for precipitation nowcasting from radar images, arXiv [preprint], https://doi.org/10.48550/arXiv.1912.12132, 11 December 2019. a
Albrecht, B., Ghate, V., Mohrmann, J., Wood, R., Zuidema, P., Bretherton, C., Schwartz, C., Eloranta, E., Glienke, S., Donaher, S., Sarkar, M., McGibbon, J., Nugent, A. D., Shaw, R. A., Fugal, J., Minnis, P., Paliknoda, R., Lussier, L., Jensen, J., Vivekanandan, J., Ellis, S., Tsai, P., Rilling, R., Haggerty, J., Campos, T., Stell, M., Reeves, M., Beaton, S., Allison, J., Stossmeister, G., Hall, S., and Schmidt, S.: Cloud System Evolution in the Trades (CSET): Following the evolution of boundary layer cloud systems with the NSF–NCAR GV, B. Am. Meteorol. Soc., 100, 93–121, 2019. a
Berman, M., Triki, A. R., and Blaschko, M. B.: The lovász-softmax loss: A
tractable surrogate for the optimization of the intersection-over-union
measure in neural networks, Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 18–22 June 2018, Salt Lake City, Utah, USA, 4413–4421, https://doi.org/10.1109/CVPR.2018.00464, 2018. a
Bernauer, F., Hürkamp, K., Rühm, W., and Tschiersch, J.: Snow event
classification with a 2D video disdrometer – A decision tree approach,
Atmos. Res., 172, 186–195, 2016. a
Chaurasia, A. and Culurciello, E.: Linknet: Exploiting encoder representations for efficient semantic segmentation, Proceedings of the IEEE Visual Communications and Image Processing (VCIP), 10–13 December 2017, St. Petersburg, FL, USA, IEEE, 1–4, https://doi.org/10.1109/VCIP.2017.8305148, 2017. a
