Xiaowen Luo

Orcid: 0000-0001-9185-6039

According to our database1, Xiaowen Luo authored at least 14 papers between 2016 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
Multi-Featured Sea Ice Classification with SAR Image Based on Convolutional Neural Network.
Remote. Sens., August, 2023

High-Precision Inversion of Shallow Bathymetry under Complex Hydrographic Conditions Using VGG19 - A Case Study of the Taiwan Banks.
Remote. Sens., March, 2023

Temporal Fusion Based 1-D Sequence Semantic Segmentation Model for Automatic Precision Side Scan Sonar Bottom Tracking.
IEEE Trans. Geosci. Remote. Sens., 2023

Mixed Seabed Sediment Classification Based on Transferred Convolutional Neural Network: A Case Study in the Ancient River Valley.
IEEE Trans. Geosci. Remote. Sens., 2023

2022
A VGGNet-Based Method for Refined Bathymetry from Satellite Altimetry to Reduce Errors.
Remote. Sens., December, 2022

Deep Learning-Based High Accuracy Bottom Tracking on 1-D Side-Scan Sonar Data.
IEEE Geosci. Remote. Sens. Lett., 2022

2021
Study of the Spatiotemporal Characteristics of the Equatorial Ionization Anomaly Using Shipborne Multi-GNSS Data: A Case Analysis (120° E-150° E, Western Pacific Ocean, 2014-2015).
Remote. Sens., 2021

From 10 m to 11000 m, Automatic Processing Multi-Beam Bathymetric Data Based on PGO Method.
IEEE Access, 2021

Optimizing the Sediment Classification of Small Side-Scan Sonar Images Based on Deep Learning.
IEEE Access, 2021

2019
Global Ionospheric Model Accuracy Analysis Using Shipborne Kinematic GPS Data in the Arctic Circle.
Remote. Sens., 2019

Sediment Classification of Small-Size Seabed Acoustic Images Using Convolutional Neural Networks.
IEEE Access, 2019

Construction of High-Resolution Bathymetric Dataset for the Mariana Trench.
IEEE Access, 2019

2018
Measurements and Accuracy Evaluation of a Strapdown Marine Gravimeter Based on Inertial Navigation.
Sensors, 2018

2016
Results of Real-Time Kinematic Positioning Based on Real GPS L5 Data.
IEEE Geosci. Remote. Sens. Lett., 2016


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