Nan Wang

Orcid: 0000-0002-4116-5069

Affiliations:
  • Chinese Academy of Sciences, Institute of Remote Sensing and Digital Earth, Beijing, China
  • Wuhan University, State Key Laboratory of Information Engineering in Surveying, Mapping, and Remote Sensing, China (former)


According to our database1, Nan Wang authored at least 15 papers between 2012 and 2021.

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

Timeline

Legend:

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PhD thesis 
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Links

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Bibliography

2021
Automatic Cotton Mapping Using Time Series of Sentinel-2 Images.
Remote. Sens., 2021

2020
Automatic Crop Classification in Northeastern China by Improved Nonlinear Dimensionality Reduction for Satellite Image Time Series.
Remote. Sens., 2020

2019
A New Time Series Change Detection Method for Landsat Land use and Land Cover Change.
Proceedings of the 10th International Workshop on the Analysis of Multitemporal Remote Sensing Images, 2019

2018
Multi-Task Learning for Blind Source Separation.
IEEE Trans. Image Process., 2018

A Bandwise Noise Model Combined With Low-Rank Matrix Factorization for Hyperspectral Image Denoising.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2018

2017
Monitoring and Modeling of Spatiotemporal Urban Expansion and Land-Use/Land-Cover Change Using Integrated Markov Chain Cellular Automata Model.
ISPRS Int. J. Geo Inf., 2017

2016
A Modified Locality-Preserving Projection Approach for Hyperspectral Image Classification.
IEEE Geosci. Remote. Sens. Lett., 2016

Hyperspectral signal unmixing based on constrained non-negative matrix factorization approach.
Neurocomputing, 2016

A non-negative matrix factorization approach for hyperspectral unmixing with partial known endmembers.
Proceedings of the 8th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2016

2015
An Abundance Characteristic-Based Independent Component Analysis for Hyperspectral Unmixing.
IEEE Trans. Geosci. Remote. Sens., 2015

2014
A K-L divergence constrained sparse NMF for hyperspectral signal unmixing.
Proceedings of the Proceedings IEEE International Conference on Security, 2014

2013
An Endmember Dissimilarity Constrained Non-Negative Matrix Factorization Method for Hyperspectral Unmixing.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2013

Hyperspectral Medical Images Unmixing for Cancer Screening Based on Rotational Independent Component Analysis.
Proceedings of the Intelligence Science and Big Data Engineering, 2013

2012
An endmember dissimilarity based Non-negative Matrix Factorization method for hyperspectral unmixing.
Proceedings of the 4th Workshop on Hyperspectral Image and Signal Processing, 2012

A spectral dissimilarity constrained nonnegative matrix factorization based cancer screening algorithm from hyperspectral fluorescence images.
Proceedings of the International Conference on Computerized Healthcare, 2012


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