Title | ||
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Multiscale Fusion Signal Extraction for Spaceborne Photon-Counting Laser Altimeter in Complex and Low Signal-to-Noise Ratio Scenarios |
Abstract | ||
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Extracting signal photons from noisy raw data is one of the critical processes for the new generation of spaceborne photon-counting laser altimeter. Affected by vast noise photon-counting events, the extraction of weak signal events still faces challenges in complex scenarios with low signal-to-noise ratio (SNR). Aiming to improve the extraction ability of signal photon events in these scenarios, ... |
Year | DOI | Venue |
---|---|---|
2022 | 10.1109/LGRS.2020.3016995 | IEEE Geoscience and Remote Sensing Letters |
Keywords | DocType | Volume |
Photonics,Signal to noise ratio,Correlation,Laser beams,Laser fusion,Laser noise,Feature extraction | Journal | 19 |
ISSN | Citations | PageRank |
1545-598X | 0 | 0.34 |
References | Authors | |
0 | 4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Yaming Nan | 1 | 0 | 0.34 |
Zhihui Feng | 2 | 0 | 0.34 |
Bincheng Li | 3 | 0 | 0.68 |
Enhai Liu | 4 | 0 | 0.34 |