Yingwei Sun

According to our database1, Yingwei Sun authored at least 11 papers between 2018 and 2019.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

On csauthors.net:

Bibliography

2019
Geo-Object-Based Soil Organic Matter Mapping Using Machine Learning Algorithms With Multi-Source Geo-Spatial Data.
IEEE J Sel. Topics in Appl. Earth Observ. and Remote Sensing, 2019

Synchronous Response Analysis of Features for Remote Sensing Crop Classification Based on Optical and SAR Time-Series Data.
Sensors, 2019

Weighted Double-Logistic Function Fitting Method for Reconstructing the High-Quality Sentinel-2 NDVI Time Series Data Set.
Remote Sensing, 2019

DE-Net: Deep Encoding Network for Building Extraction from High-Resolution Remote Sensing Imagery.
Remote Sensing, 2019

Geo-parcel-based geographical thematic mapping using C5.0 decision tree: a case study of evaluating sugarcane planting suitability.
Earth Science Informatics, 2019

Improved sugarcane LAI estimation using radiative transfer models with spatial constraint.
Proceedings of the 8th International Conference on Agro-Geoinformatics, 2019

Geo-parcel based Crops Classification with Sentinel-1 Time Series Data via Recurrent Reural Network.
Proceedings of the 8th International Conference on Agro-Geoinformatics, 2019

Contour-oriented Cropland Extraction from High Resolution Remote Sensing Imagery Using Richer Convolution Features Network.
Proceedings of the 8th International Conference on Agro-Geoinformatics, 2019

Fine mapping of key soil nutrient content using high resolution remote sensing image to support precision agriculture in Northwest China.
Proceedings of the 8th International Conference on Agro-Geoinformatics, 2019

2018
Deep Extraction of Cropland Parcels from Very High-Resolution Remotely Sensed Imagery.
Proceedings of the 2018 7th International Conference on Agro-geoinformatics (Agro-geoinformatics), 2018

Digital Mapping of Soil Available Phosphorus Supported by AI Technology for Precision Agriculture.
Proceedings of the 2018 7th International Conference on Agro-geoinformatics (Agro-geoinformatics), 2018


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