Feng Chen
Orcid: 0000-0001-7849-2023Affiliations:
- Jiangxi Academy of Water Science and Engineering, Jiangxi Provincial Key Laboratory of Soil Erosion and Prevention, Nanchang, China
- Xiamen University of Technology, College of Computer and Information Engineering, China
- Xiamen University, School of Informatics, Fujian Key Laboratory of Sensing and Computing for Smart Cities, Xiamen, China
According to our database1,
Feng Chen
authored at least 12 papers
between 2017 and 2023.
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Bibliography
2023
Comparison of Simulated Multispectral Reflectance among Four Sensors in Land Cover Classification.
Remote. Sens., May, 2023
2022
Proceedings of the 29th International Conference on Geoinformatics, 2022
2021
Inconsistency among Landsat Sensors in Land Surface Mapping: A Comprehensive Investigation Based on Simulation.
Remote. Sens., 2021
Impacts of Radiance Quantization on Surface Mapping: Comparisons among the Landsat Sensors.
Proceedings of the 28th International Conference on Geoinformatics, 2021
2020
Characterization of MSS Channel Reflectance and Derived Spectral Indices for Building Consistent Landsat 1-5 Data Record.
IEEE Trans. Geosci. Remote. Sens., 2020
Improving Object Detection of Remotely Sensed Multispectral Imagery Via Pan-sharpening.
Proceedings of the ICCPR 2020: 9th International Conference on Computing and Pattern Recognition, Xiamen, China, October 30, 2020
2019
Ship Detection Using a Fully Convolutional Network with Compact Polarimetric SAR Images.
Remote. Sens., 2019
Normalized Difference Vegetation Index Continuity of the Landsat 4-5 MSS and TM: Investigations Based on Simulation.
Remote. Sens., 2019
2018
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018
Preliminary Comparison of the Multispectral Cameras Onboard UAV Platform for Environment Monitoring.
Proceedings of the 26th International Conference on Geoinformatics, 2018
2017
Post-typhoon assessment of surface greenness disturbance using Landsat series observations.
Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017