Xiaodong Hu

Orcid: 0000-0001-8323-2728

Affiliations:
  • Chinese Academy of Sciences, Institute of Remote Sensing and Digital Earth, Beijing, China


According to our database1, Xiaodong Hu authored at least 11 papers between 2012 and 2021.

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

Timeline

Legend:

Book 
In proceedings 
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PhD thesis 
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Bibliography

2021
Geo-Object-Based Vegetation Mapping via Machine Learning Methods with an Intelligent Sample Collection Scheme: A Case Study of Taibai Mountain, China.
Remote. Sens., 2021

2020
Disaggregating County-Level Census Data for Population Mapping Using Residential Geo-Objects With Multisource Geo-Spatial Data.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2020

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

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

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

2018
A Thin-Cloud Mask Method for Remote Sensing Images Based on Sparse Dark Pixel Region Detection.
Remote. Sens., 2018

2017
Geo-Parcel Based Crop Identification by Integrating High Spatial-Temporal Resolution Imagery from Multi-Source Satellite Data.
Remote. Sens., 2017

2014
Multiscale Water Body Extraction in Urban Environments From Satellite Images.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2014

2012
Adaptive extraction of water in urban areas based on local iteration using high-resolution multi-spectral image.
Proceedings of the 2012 IEEE International Geoscience and Remote Sensing Symposium, 2012


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