Dr. Hao Fang Profile

Dr. Hao Fang

at Xi’an Research Institute of High Technology

SPIE Involvement:

Author

Publications (5)

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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SPIE Journal Paper | 12 December 2017

Two-step rectification method for distortions caused by aircraft roll in push-broom hyperspectral images

Hao Fang, Binlin Hu, Shijing Hao, Yuanjiang Wu, Yinnian Liu, Aihua Li

JARS, Vol. 11, Issue 04, 046019, (December 2017) https://doi.org/10.1117/12.10.1117/1.JRS.11.046019

KEYWORDS: Hyperspectral imaging, Feature extraction, Image segmentation, Cameras, Image resolution, Imaging systems, Image processing, Compound parabolic concentrators, Lithium, Remote sensing

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Proceedings Article | 29 August 2016 Paper

Accelerating CNN’s forward process on mobile GPU using OpenCL

Yang Shi, Qiang Lan, Hao Fang, Mei Wen

Proceedings Volume 10033, 100334W (2016) https://doi.org/10.1117/12.2244914

KEYWORDS: Convolution, Cell phones, Matrix multiplication, Image processing, Image classification, Speech recognition, Standards development, Matrices, Neural networks, Detection and tracking algorithms

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