Pengliang Wei
Orcid: 0000-0002-4432-1338
According to our database1,
Pengliang Wei
authored at least 5 papers
between 2021 and 2022.
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Bibliography
2022
Semantic Segmentation Based on Temporal Features: Learning of Temporal-Spatial Information From Time-Series SAR Images for Paddy Rice Mapping.
IEEE Trans. Geosci. Remote. Sens., 2022
Rice Mapping in Training Sample Shortage Regions Using a Deep Semantic Segmentation Model Trained on Pseudo-Labels.
Remote. Sens., 2022
Rice mapping based on Sentinel-1 images using the coupling of prior knowledge and deep semantic segmentation network: A case study in Northeast China from 2019 to 2021.
Int. J. Appl. Earth Obs. Geoinformation, 2022
2021
Remote. Sens., 2021
Classification and Mapping of Paddy Rice using Multi-temporal Landsat Data with a Deep Semantic Segmentation Model.
Proceedings of the 9th International Conference on Agro-Geoinformatics, 2021