Jiangye Yuan, Ph.D.

Affiliations: 
Geodetic Science and Surveying Ohio State University, Columbus, Columbus, OH 
Area:
machine perception
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"Jiangye Yuan"
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SNBCP

Parents

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Deliang Wang grad student 2012 Ohio State
 (Remote Sensing Image Segmentation and Object Extraction Based on Spectral and Texture Information.)
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Publications

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Yang HL, Yuan J, Lunga D, et al. (2018) Building Extraction at Scale Using Convolutional Neural Network: Mapping of the United States Ieee Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 11: 2600-2614
Lunga D, Yang HL, Reith A, et al. (2018) Domain-Adapted Convolutional Networks for Satellite Image Classification: A Large-Scale Interactive Learning Workflow Ieee Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 11: 962-977
Yuan J. (2017) Learning Building Extraction in Aerial Scenes with Convolutional Networks. Ieee Transactions On Pattern Analysis and Machine Intelligence
Yuan J, Wang D, Cheriyadat A. (2015) Factorization-Based Texture Segmentation. Ieee Transactions On Image Processing : a Publication of the Ieee Signal Processing Society
Yuan J, Cheriyadat AM. (2015) Image feature based GPS trace filtering for road network generation and road segmentation Machine Vision and Applications
Yuan J, Wang D, Li R. (2014) Remote Sensing Image Segmentation by Combining Spectral and Texture Features Ieee Transactions On Geoscience and Remote Sensing. 52: 16-24
Yuan J, Gleason SS, Cheriyadat AM. (2013) Systematic benchmarking of aerial image segmentation Ieee Geoscience and Remote Sensing Letters. 10: 1527-1531
Li R, Liu J, Sukcharoenpong A, et al. (2012) A Systematic Approach toward Detection of Seagrass Patches from Hyperspectral Imagery Marine Geodesy. 35: 271-286
Yuan J, Wang D, Li R. (2012) Image segmentation using local spectral histograms and linear regression Pattern Recognition Letters. 33: 615-622
Yuan J, Wang D, Wu B, et al. (2011) LEGION-Based Automatic Road Extraction From Satellite Imagery Ieee Transactions On Geoscience and Remote Sensing. 49: 4528-4538
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