Lin Wang

Affiliations:
  • Xidian University, School of Physics and Optoelectronic Engineering, Xi'an, China
  • University of Maryland, Department of Computer Science and Electrical Engineering, Baltimore, MD, USA (former)


According to our database1, Lin Wang authored at least 13 papers between 2016 and 2022.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2022
Editorial for Special Issue "Advances in Hyperspectral Data Exploitation".
Remote. Sens., 2022

2019
Constrained-Target Band Selection for Multiple-Target Detection.
IEEE Trans. Geosci. Remote. Sens., 2019

Fusion of Various Band Selection Methods for Hyperspectral Imagery.
Remote. Sens., 2019

2018
A Posteriori Hyperspectral Anomaly Detection for Unlabeled Classification.
IEEE Trans. Geosci. Remote. Sens., 2018

2017
A Subpixel Target Detection Approach to Hyperspectral Image Classification.
IEEE Trans. Geosci. Remote. Sens., 2017

Band Subset Selection for Anomaly Detection in Hyperspectral Imagery.
IEEE Trans. Geosci. Remote. Sens., 2017

A Hyperspectral Imaging Approach to White Matter Hyperintensities Detection in Brain Magnetic Resonance Images.
Remote. Sens., 2017

Constrained Band Subset Selection for Hyperspectral Imagery.
IEEE Geosci. Remote. Sens. Lett., 2017

Multi-class constrained background suppression approach to hyperspectral image classification.
Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017

Kernel automatic target generation process.
Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017

Iterative anomaly detection.
Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017

2016
Multiple band selection for anomaly detection in hyperspectral imagery.
Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016

Constrained multiple band selection for hyperspectral imagery.
Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016


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