Hao Li

Orcid: 0000-0002-6336-8772

Affiliations:
  • Heidelberg University, Institute of Geography, Germany
  • Technical University of Munich, Signal Processing in Earth Observation, Germany
  • University of Stuttgart, Institute for Photogrammetry, Germany


According to our database1, Hao Li authored at least 27 papers between 2018 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
SpectralGPT: Spectral Remote Sensing Foundation Model.
IEEE Trans. Pattern Anal. Mach. Intell., August, 2024

Location Reference Recognition from Texts: A Survey and Comparison.
ACM Comput. Surv., May, 2024

Cross-City Semantic Segmentation (C2Seg) in Multimodal Remote Sensing: Outcome of the 2023 IEEE WHISPERS C2Seg Challenge.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024

Cross-View Geolocalization and Disaster Mapping with Street-View and VHR Satellite Imagery: A Case Study of Hurricane IAN.
CoRR, 2024

SRL: Towards a General-Purpose Framework for Spatial Representation Learning.
Proceedings of the 32nd ACM International Conference on Advances in Geographic Information Systems, 2024

Random Affine Transformation Feature Representation Learning for Fast Polygon Retrieval.
Proceedings of the 3rd ACM SIGSPATIAL International Workshop on Searching and Mining Large Collections of Geospatial Data, 2024

2023
Semi-supervised water tank detection to support vector control of emerging infectious diseases transmitted by <i>Aedes Aegypti</i>.
Int. J. Appl. Earth Obs. Geoinformation, May, 2023

Semi-supervised water tank detection to support vector control of emerging infectious diseases transmitted by Aedes Aegpyti [Research Data].
Dataset, April, 2023

Semi-supervised water tank detection to support vector control of emerging infectious diseases transmitted by Aedes Aegpyti [Research Data].
Dataset, April, 2023

Compression Supports Spatial Deep Learning.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023

SpectralGPT: Spectral Foundation Model.
CoRR, 2023

Cross-City Matters: A Multimodal Remote Sensing Benchmark Dataset for Cross-City Semantic Segmentation using High-Resolution Domain Adaptation Networks.
CoRR, 2023

Semi-Supervised Learning from Street-View Images and OpenStreetMap for Automatic Building Height Estimation.
Proceedings of the 12th International Conference on Geographic Information Science, 2023

Exploring GeoAI Methods for Supraglacial Lake Mapping on Greenland Ice Sheet.
Proceedings of the 31st ACM International Conference on Advances in Geographic Information Systems, 2023

Rethink Geographical Generalizability with Unsupervised Self-Attention Model Ensemble: A Case Study of OpenStreetMap Missing Building Detection in Africa.
Proceedings of the 31st ACM International Conference on Advances in Geographic Information Systems, 2023

Bavaria Buildings - A Novel Dataset for Building Footprint Extraction, Instance Segmentation, and Data Quality Estimation.
Proceedings of the 31st ACM International Conference on Advances in Geographic Information Systems, 2023

2022
Understanding spatiotemporal trip purposes of urban micro-mobility from the lens of dockless e-scooter sharing.
Comput. Environ. Urban Syst., 2022

Improving OpenStreetMap missing building detection using few-shot transfer learning in sub-Saharan Africa.
Trans. GIS, 2022

Leveraging OpenStreetMap and Multimodal Remote Sensing Data with Joint Deep Learning for Wastewater Treatment Plants Detection.
Int. J. Appl. Earth Obs. Geoinformation, 2022

AtlasHDF: an efficient big data framework for GeoAI.
Proceedings of the 10th ACM SIGSPATIAL International Workshop on Analytics for Big Geospatial Data, 2022

2021
Tagging the main entrances of public buildings based on OpenStreetMap and binary imbalanced learning.
Int. J. Geogr. Inf. Sci., 2021

Automatic mapping of national surface water with OpenStreetMap and Sentinel-2 MSI data using deep learning.
Int. J. Appl. Earth Obs. Geoinformation, 2021

2020
A Multi-Sensor Fusion Framework Based on Coupled Residual Convolutional Neural Networks.
Remote. Sens., 2020

Remote Sensing and Deep Learning for Sustainable Mining.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020

2019
Mapping Human Settlements with Higher Accuracy and Less Volunteer Efforts by Combining Crowdsourcing and Deep Learning.
Remote. Sens., 2019

So2Sat LCZ42: A Benchmark Dataset for Global Local Climate Zones Classification.
CoRR, 2019

2018
Hyperspectral and LiDAR Fusion Using Deep Three-Stream Convolutional Neural Networks.
Remote. Sens., 2018


  Loading...