Shuang Song

Orcid: 0000-0002-0037-1499

Affiliations:
  • Ohio State University, Department of Civil, Environmental and Geodetic Engineering, Geospatial Data Analytics Laboratory, Columbus, OH, USA


According to our database1, Shuang Song authored at least 13 papers between 2018 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Online presence:

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Bibliography

2024
Remote Sensing Object Detection in the Deep Learning Era - A Review.
Remote. Sens., January, 2024

A General Albedo Recovery Approach for Aerial Photogrammetric Images through Inverse Rendering.
CoRR, 2024

Automated Deep Learning-Based Point Cloud Classification on USGS 3DEP Lidar Data Using A Transformer.
Proceedings of the IGARSS 2024, 2024

2023
Active and Low-Cost Hyperspectral Imaging for the Spectral Analysis of a Low-Light Environment.
Sensors, February, 2023

Mesh Conflation of Oblique Photogrammetric Models Using Virtual Cameras and Truncated Signed Distance Field.
IEEE Geosci. Remote. Sens. Lett., 2023

Point Cloud Registration for LiDAR and Photogrammetric Data: a Critical Synthesis and Performance Analysis on Classic and Deep Learning Algorithms.
CoRR, 2023

2022
A Novel Intrinsic Image Decomposition Method to Recover Albedo for Aerial Images in Photogrammetry Processing.
CoRR, 2022

2021
A volumetric change detection framework using UAV oblique photogrammetry - a case study of ultra-high-resolution monitoring of progressive building collapse.
Int. J. Digit. Earth, 2021

3D Reconstruction through Fusion of Cross-View Images.
CoRR, 2021

Vis2Mesh: Efficient Mesh Reconstruction from Unstructured Point Clouds of Large Scenes with Learned Virtual View Visibility.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2019
A Comparison of Stereo-Matching Cost between Convolutional Neural Network and Census for Satellite Images.
CoRR, 2019

2018
Calibrate Multiple Consumer RGB-D Cameras for Low-Cost and Efficient 3D Indoor Mapping.
Remote. Sens., 2018

Automatic Clearance Anomaly Detection for Transmission Line Corridors Utilizing UAV-Borne LIDAR Data.
Remote. Sens., 2018


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