Mingyuan Peng
Orcid: 0000-0002-9187-8120
According to our database1,
Mingyuan Peng
authored at least 6 papers
between 2019 and 2022.
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Bibliography
2022
Crop classification based on the spectrotemporal signature derived from vegetation indices and accumulated temperature.
Int. J. Digit. Earth, December, 2022
Correction: Peng et al. A Fast Three-Dimensional Convolutional Neural Network-Based Spatiotemporal Fusion Method (STF3DCNN) Using a Spatial-Temporal-Spectral Dataset. Remote Sens. 2020, 12, 3888.
Remote. Sens., 2022
A Registration-Error-Resistant Swath Reconstruction Method of ZY1-02D Satellite Hyperspectral Data Using SRE-ResNet.
Remote. Sens., 2022
A Synchronous Long Time-Series Completion Method Using 3-D Fully Convolutional Neural Networks.
IEEE Geosci. Remote. Sens. Lett., 2022
2020
A Fast Three-Dimensional Convolutional Neural Network-Based Spatiotemporal Fusion Method (STF3DCNN) Using a Spatial-Temporal-Spectral Dataset.
Remote. Sens., 2020
2019
Improving Spectral Resolution of Multispectral Data Using Convolutional Neural Network.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019