An Entropy-Based Anti-Noise Method for Reducing Ranging Error in Photon Counting Lidar
Photon counting lidar for long-range detection faces the problem of declining ranging performance caused by background noise. Current anti-noise methods are not robust enough in the case of weak signal and strong background noise, resulting in poor ranging error. In this work, based on the character...
Enregistré dans:
Auteurs principaux: | Mingwei Huang, Zijing Zhang, Jiaheng Xie, Jiahuan Li, Yuan Zhao |
---|---|
Format: | article |
Langue: | EN |
Publié: |
MDPI AG
2021
|
Sujets: | |
Accès en ligne: | https://doaj.org/article/27734037364e4f14b4a3da7cca71cfc2 |
Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Documents similaires
-
True random coded photon counting Lidar
par: Liu Bo, et autres
Publié: (2020) -
On Conditional Tsallis Entropy
par: Andreia Teixeira, et autres
Publié: (2021) -
Information-Corrected Estimation: A Generalization Error Reducing Parameter Estimation Method
par: Matthew Dixon, et autres
Publié: (2021) -
Using Entropy to Evaluate the Impact of Monetary Policy Shocks on Financial Networks
par: Petre Caraiani, et autres
Publié: (2021) -
Thermodynamic Consistency of the Cushman Method of Computing the Configurational Entropy of a Landscape Lattice
par: Samuel A. Cushman
Publié: (2021)