Biography

I am a PhD student at School of Earth and Space Sciences, Peking University.

Before coming to PKU, I obtained a bachelor degree in Geodesy and Geomatics from School of Geodesy and Geomatics, Wuhan University (Wuhan, China) in 2013.

My research interests lie in Deep learning, Cloud computing and Remote sensing.

Selected Publications

[1]A Deep Learning Framework for Hyperspectral Image Classification using Spatial Pyramid Pooling
Jun Yue, Shanjun Mao, Mei Li.
Remote Sensing Letters, 2016, 7(9): 875-884. [HTML]

[2]Spectral-Spatial Classification of Hyperspectral Images Using Deep Convolutional Neural Networks
Jun Yue, Wenzhi Zhao, Shanjun Mao, Hui Liu.
Remote Sensing Letters, 2015, 6(6): 468-477. [HTML]

[3]An efficient PAM spatial clustering algorithm based on MapReduce
Jun Yue, Shanjun Mao, Mei Li, Xuesen Zou.
International Conference on Geoinformatics, 2014:1-6. [HTML]

[4]Performance Comparison of Digital Image Processing Based on CPU and GPU/CUDA
Jun Yue, Jingui Zou, Yuhang He.
Geospatial Information. 2012, 10(4):45-47. [HTML]

[5]Analysis of the Sensitivity-Components Linked by Satellite Azimuth in GPS
Jun Yue, Bing He.
Bulletin of Surveying and mapping. 2014(1):5-8. [HTML]

[6]On combining multiscale deep learning features for the classification of hyperspectral remote sensing imagery
Wenzhi Zhao, Zhou Guo, Jun Yue, Xiuyuan Zhang, and Liqun Luo.
Remote Sensing Letters, 2015, 6(6): 468-477. [HTML]

[7]Road Extraction in Remote Sensing Images Based on Spectral and Edge Analysis
Wenzhi Zhao, Liqun Luo, Zhou Guo, Jun Yue, Xueying Yu, Hui Liu and Jing Wei.
Spectroscopy and Spectral Analysis ,2015,35(10):2814-2819. [HTML]

[8]Research and implementation based on multi-view dense matching by applying CMVS/PMVS
Yuhang He, Jun Yue.
Geomatics & Spatial Information Technology. 2013,38(3):20-23. [HTML]

Projects

Deep Convolutional Neural Networks for Hyperspectral Data Classification


Multiscale deep learning for Hyperspectral Data Classification


Spatial pyramid pooling for Hyperspectral Data Classification


Motto