Songlin Fei

Orcid: 0000-0003-2772-0166

According to our database1, Songlin Fei authored at least 36 papers between 2005 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
Smartphone-based Circular Plot Sampling for Forest Inventory.
CoRR, May, 2026

Super-Resolution of Airborne Laser Scanning Point Clouds for Forest Inventory.
CoRR, May, 2026

Where Are the City Trees? Monitoring Urban Trees across the U.S. Using Generative AI.
Commun. ACM, April, 2026

Make LVLMs Focus: Context-Aware Attention Modulation for Better Multimodal In-Context Learning.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025
BarkXAI: A Lightweight Post-Hoc Explainable Method for Tree Species Classification with Quantifiable Concepts.
CoRR, February, 2025

Errata to "TreeStructor: Forest Reconstruction With Neural Ranking".
IEEE Trans. Geosci. Remote. Sens., 2025

TreeStructor: Forest Reconstruction With Neural Ranking.
IEEE Trans. Geosci. Remote. Sens., 2025

UAV-assisted scan planning for improved forest inventory using a mobile backpack LiDAR system.
Comput. Electron. Agric., 2025

Environmental Sensitivity in AI Tree Bark Detection: Identifying Key Factors for Improving Classification Accuracy.
Algorithms, 2025

Flower color index for detecting and monitoring warm-colored flowering across scales.
Int. J. Appl. Earth Obs. Geoinformation, 2025

Understanding the effects of spatial scaling on the relationship between urban structure and biodiversity.
Int. J. Appl. Earth Obs. Geoinformation, 2025

2024
DeepTree: Modeling Trees With Situated Latents.
IEEE Trans. Vis. Comput. Graph., August, 2024

Label-Efficient Video Object Segmentation With Motion Clues.
IEEE Trans. Circuits Syst. Video Technol., August, 2024

CentralBark Image Dataset and Tree Species Classification Using Deep Learning.
Algorithms, May, 2024

MetaSegNet: Metadata-Collaborative Vision-Language Representation Learning for Semantic Segmentation of Remote Sensing Images.
IEEE Trans. Geosci. Remote. Sens., 2024

Tree Species Classification from UAV Canopy Images with Deep Learning Models.
Remote. Sens., 2024

LiDAR-Forest Dataset: LiDAR Point Cloud Simulation Dataset for Forestry Application.
CoRR, 2024

M2fNet: Multi-modal Forest Monitoring Network on Large-scale Virtual Dataset.
CoRR, 2024

LiDAR-Forest Dataset: LiDAR Point Cloud Simulation Dataset for Forestry Application.
Proceedings of the IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops, 2024

M2fNet: Multi-Modal Forest Monitoring Network on Large-Scale Virtual Dataset.
Proceedings of the IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops, 2024

Putree: A Photorealistic Large-Scale Virtual Benchmark for Forest Training.
Proceedings of the IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops, 2024

Morphological Approach for Forest Woody Debris Detection Using Multi-Platform, Multi-Resolution Lidar Data.
Proceedings of the IGARSS 2024, 2024

Tree-D Fusion: Simulation-Ready Tree Dataset from Single Images with Diffusion Priors.
Proceedings of the Computer Vision - ECCV 2024, 2024

Unsupervised Machine Learning for Detecting and Locating Human-Made Objects in 3D Point Cloud.
Proceedings of the IEEE International Conference on Big Data, 2024

2023
A Robust Stepwise Clustering Approach to Detect Individual Trees in Temperate Hardwood Plantations using Airborne LiDAR Data.
Remote. Sens., March, 2023

In Situ Calibration and Trajectory Enhancement of UAV and Backpack LiDAR Systems for Fine-Resolution Forest Inventory.
Remote. Sens., 2023

Radiometric And Geometric Approach For Major Woody Parts Segmentation In Forest Lidar Point Clouds.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

2022
Comparative Evaluation of a Newly Developed Trunk-Based Tree Detection/Localization Strategy on Leaf-Off LiDAR Point Clouds with Varying Characteristics.
Remote. Sens., 2022

High-Resolution Canopy Height Model Generation and Validation Using USGS 3DEP LiDAR Data in Indiana, USA.
Remote. Sens., 2022

Comparative Analysis of Multi-Platform, Multi-Resolution, Multi-Temporal LiDAR Data for Forest Inventory.
Remote. Sens., 2022

Automated Inventory of Broadleaf Tree Plantations with UAS Imagery.
Remote. Sens., 2022

An Unsupervised Canopy-to-Root Pathing (UCRP) Tree Segmentation Algorithm for Automatic Forest Mapping.
Remote. Sens., 2022

2020
Compatibility of Aerial and Terrestrial LiDAR for Quantifying Forest Structural Diversity.
Remote. Sens., 2020

2018
Linking Landsat to terrestrial LiDAR: Vegetation metrics of forest greenness are correlated with canopy structural complexity.
Int. J. Appl. Earth Obs. Geoinformation, 2018

2013
Identification of understory invasive exotic plants with remote sensing in urban forests.
Int. J. Appl. Earth Obs. Geoinformation, 2013

2005
Hotspot detection for chestnut oak regeneration.
Proceedings of the 2005 National Conference on Digital Government Research, 2005


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