Diyou Liu
Orcid: 0000-0002-7025-2137
According to our database1,
Diyou Liu
authored at least 17 papers
between 2018 and 2024.
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Bibliography
2024
Prompt-Driven Building Footprint Extraction in Aerial Images With Offset-Building Model.
IEEE Trans. Geosci. Remote. Sens., 2024
CoRR, 2024
Learning Stable Evolutionary PDE Dynamics: A Scalable System Identification Approach.
Proceedings of the IEEE Conference on Control Technology and Applications, 2024
2023
Learning to Adapt Adversarial Perturbation Consistency for Domain Adaptive Semantic Segmentation of Remote Sensing Images.
Remote. Sens., December, 2023
Remote. Sens., March, 2023
2022
CC-SSL: A Self-Supervised Learning Framework for Crop Classification With Few Labeled Samples.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022
Extraction and reconstruction of a beetle forewing cross-section point set and its curvature characteristics.
Pattern Anal. Appl., 2022
2021
Deriving Non-Cloud Contaminated Sentinel-2 Images with RGB and Near-Infrared Bands from Sentinel-1 Images Based on a Conditional Generative Adversarial Network.
Remote. Sens., 2021
Large-scale crop mapping from multi-source optical satellite imageries using machine learning with discrete grids.
Int. J. Appl. Earth Obs. Geoinformation, 2021
2020
Identification of Seed Maize Fields With High Spatial Resolution and Multiple Spectral Remote Sensing Using Random Forest Classifier.
Remote. Sens., 2020
A Cloud Detection Approach Based on Hybrid Multispectral Features with Dynamic Thresholds for GF-1 Remote Sensing Images.
Remote. Sens., 2020
Early Identification of Seed Maize and Common Maize Production Fields Using Sentinel-2 Images.
Remote. Sens., 2020
An Efficient Row Key Encoding Method with ASCII Code for Storing Geospatial Big Data in HBase.
ISPRS Int. J. Geo Inf., 2020
An Unsupervised Crop Classification Method Based on Principal Components Isometric Binning.
ISPRS Int. J. Geo Inf., 2020
2019
Large-Scale Crop Mapping Based on Machine Learning and Parallel Computation with Grids.
Remote. Sens., 2019
2018
RDCRMG: A Raster Dataset Clean & Reconstitution Multi-Grid Architecture for Remote Sensing Monitoring of Vegetation Dryness.
Remote. Sens., 2018