Dr. Hongwei Chang Profile

Dr. Hongwei Chang

at Xi'an Research Institute of High Technology

SPIE Involvement:

Author

Publications (5)

Proceedings Article | 20 October 2022 Paper

A novel interactive 3D method for IETM

Wentao Li, Tao Wang, Jiping Cao, Hongwei Chang

Proceedings Volume 12451, 124513M (2022) https://doi.org/10.1117/12.2656759

KEYWORDS: 3D modeling, 3D displays, 3D imaging standards, Video, Assembly equipment

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SPIE Journal Paper | 30 December 2020

Hyperspectral anomaly detection using a background endmember signature

Hongwei Chang, Tao Wang, Aihua Li, Yihe Jiang

JARS, Vol. 14, Issue 04, 046516, (December 2020) https://doi.org/10.1117/12.10.1117/1.JRS.14.046516

KEYWORDS: Detection and tracking algorithms, Binary data, Sensors, Principal component analysis, Image processing, Projection systems, Mahalanobis distance, Spectroscopy, Spatial resolution, Signal to noise ratio

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SPIE Journal Paper | 14 June 2019

Local hyperspectral anomaly detection method based on low-rank and sparse matrix decomposition

Hongwei Chang, Tao Wang, Aihua Li, Hao Fang

JARS, Vol. 13, Issue 02, 026513, (June 2019) https://doi.org/10.1117/12.10.1117/1.JRS.13.026513

KEYWORDS: Detection and tracking algorithms, Mahalanobis distance, Binary data, Sensors, Target detection, Optimization (mathematics), Contamination, Statistical analysis, Hyperspectral imaging, Algorithm development

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Proceedings Article | 12 December 2018 Paper

Hyperspectral unmixing using graph-regularized and sparsity-constrained deep NMF

Hao Fang, Aihua Li, Tao Wang, Hongwei Chang, Huoxi Xu

Proceedings Volume 10846, 108462J (2018) https://doi.org/10.1117/12.2505494

KEYWORDS: Matrices, Mathematical modeling, Hyperspectral imaging, Image processing

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SPIE Journal Paper | 27 October 2018

Hyperspectral unmixing using sparsity-constrained multilayer non-negative matrix factorization

Hao Fang, Aihua Li, Tao Wang, Huoxi Xu, Yanzhao Su, Hongwei Chang

JARS, Vol. 12, Issue 04, 045009, (October 2018) https://doi.org/10.1117/12.10.1117/1.JRS.12.045009

KEYWORDS: Signal to noise ratio, Matrices, Performance modeling, Optimization (mathematics), Hyperspectral imaging, Lithium, Image processing, Chemical elements, Detection and tracking algorithms, Mathematical modeling

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