Chinese Journal of Lasers, Volume. 52, Issue 1, 0110003(2025)
Deep Learning Method Suitable for Airborne Laser Bathymetry of Different Water Qualities
[4] Wang D D, Xu Q, Xing S et al. A coarse-to-fine signal detection method for airborne LiDAR bathymetry[J]. Acta Geodaetica et Cartographica Sinica, 47, 1148-1159(2018).
[9] Yu Y J, Wang Y, Li H et al. Channel-wise attention mechanism relevant UNet-based diffraction limited fluorescence spot detection and localization[J]. Laser & Optoelectronics Progress, 60, 1412004(2023).
[10] Tian H Y, Wang Y, Xiao H B. Full-automatic brain tumor segmentation based on multimodal recombination and scale cross-attention mechanism[J]. Chinese Journal of Lasers, 51, 2107110(2024).
[14] Ye X S. Research on principle and data processing methods of airborne laser bathymetric technique[D](2010).
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Yifan Huang, Yan He, Xiaolei Zhu, Guangxiu Xu. Deep Learning Method Suitable for Airborne Laser Bathymetry of Different Water Qualities[J]. Chinese Journal of Lasers, 2025, 52(1): 0110003
Category: remote sensing and sensor
Received: Jul. 18, 2024
Accepted: Sep. 14, 2024
Published Online: Jan. 20, 2025
The Author Email: He Yan (heyan@siom.ac.cn)
CSTR:32183.14.CJL241064