Dr. Mingqiang Ning Profile

Dr. Mingqiang Ning

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Publications (5)

Proceedings Article | 27 September 2024 Paper

SAR ship target detection method based on improved faster R-CNN

Qimeng Liu, Mingqiang Ning

Proceedings Volume 13275, 1327502 (2024) https://doi.org/10.1117/12.3037522

KEYWORDS: Deep learning, Convolutional neural networks, Wavelets, Object detection, Target detection, Synthetic aperture radar, Small targets

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Proceedings Article | 12 October 2022 Paper

Pre-rotation only at inference-time: a way to rotation invariance

Peng Zhang, Jinsong Tang, Heping Zhong, Mingqiang Ning, Yue Fan

Proceedings Volume 12342, 123420O (2022) https://doi.org/10.1117/12.2644390

KEYWORDS: Image classification, Feature extraction, Pattern recognition, Network architectures

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Proceedings Article | 12 October 2022 Paper

Rotated target recognition of sonar images via convolutional neural networks with rotated inputs

Peng Zhang, Jinsong Tang, Heping Zhong, Mingqiang Ning, Yue Fan

Proceedings Volume 12342, 1234210 (2022) https://doi.org/10.1117/12.2644531

KEYWORDS: Target recognition, Image classification, Convolutional neural networks, Statistical analysis, Pattern recognition, Network architectures, Machine vision, Data processing, Computer vision technology, Visualization

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Proceedings Article | 4 May 2022 Paper

Spectral normalized CycleGAN with application in semi-supervised semantic segmentation of sonar images

Zhisheng Zhang, Jingsong Tang, Peng Zhang, Mingqiang Ning, Han Li, Haoran Wu

Proceedings Volume 12172, 1217224 (2022) https://doi.org/10.1117/12.2634721

KEYWORDS: Image segmentation, Lithium, Data modeling, Gallium nitride, Image processing, Acoustics, Machine learning, Ultrasonography, Performance modeling, Neural networks

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Proceedings Article | 27 March 2022 Paper

Scale-aware network with scale equivariance

Mingqiang Ning, Jinsong Tang, Heping Zhong, Haoran Wu, Peng Zhang

Proceedings Volume 12169, 121699E (2022) https://doi.org/10.1117/12.2625214

KEYWORDS: Discrete wavelet transforms, Image classification, Error analysis, Convolutional neural networks

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