Nan Wang
Affiliations:- Peking University, School of Earth and Space Sciences, Institute of Remote Sensing and Geographic Information System, Beijing, China
According to our database1,
Nan Wang
authored at least 14 papers
between 2013 and 2023.
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Bibliography
2023
A Distributed Task Allocation Method Based on Improved Contract Network Protocol for Air-Ground Collaboration.
Proceedings of the 8th International Conference on Automation, 2023
2022
A Novel Electromagnetic Modeling of Coalbed Methane Reservoirs for Radiation Anomalies.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022
Proceedings of the 7th International Conference on Automation, 2022
2015
Super-Low Frequency electromagnetic noise processing system based on adaptive filtering.
Proceedings of the 2015 IEEE International Geoscience and Remote Sensing Symposium, 2015
2014
Proceedings of the 2014 IEEE Geoscience and Remote Sensing Symposium, 2014
Proceedings of the 2014 IEEE Geoscience and Remote Sensing Symposium, 2014
Passive super-low frequency remote sensing technique for monitoring coal-bed methane reservoirs.
Proceedings of the 2014 IEEE Geoscience and Remote Sensing Symposium, 2014
Proceedings of the 2014 IEEE Geoscience and Remote Sensing Symposium, 2014
2013
Coal-bed Methane reservoir identification using the natural source Super-Low Frequency remote sensing.
Proceedings of the 2013 IEEE International Geoscience and Remote Sensing Symposium, 2013
Local spatial analysis in surface information extraction of coal mining areas with high fractional vegetation cover using multi-source remote sensing data.
Proceedings of the 2013 IEEE International Geoscience and Remote Sensing Symposium, 2013
Proceedings of the 2013 IEEE International Geoscience and Remote Sensing Symposium, 2013
Integrating remote sensing and Super-Low Frequency electromagnetic technology in exploration of buried faults.
Proceedings of the 2013 IEEE International Geoscience and Remote Sensing Symposium, 2013
A method on Coalbed Methane gas content monitoring based on super-low frequency electromagnetic technology.
Proceedings of the 2013 IEEE International Geoscience and Remote Sensing Symposium, 2013
The quantitative prediction of Coalbed Methane gas content based on super-low frequency electromagnetic technology.
Proceedings of the 2013 IEEE International Geoscience and Remote Sensing Symposium, 2013