Dr. Jinjiang Li Profile

Dr. Jinjiang Li

at Shandong Institute of Business and Technology

SPIE Involvement:

Author

Publications (5)

Proceedings Article | 25 May 2023 Paper

Pyramid input-based network for single image dehazing

Yinxue Wei, Jinjiang Li, Zhen Hua

Proceedings Volume 12636, 1263638 (2023) https://doi.org/10.1117/12.2675191

KEYWORDS: Feature extraction, Image processing, Air contamination, Image enhancement, Convolution, Distortion, Education and training, Ablation, Image restoration, Computer vision technology

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SPIE Journal Paper | 24 March 2023

Contour-enhanced densely connected Siamese network for change detection

Yu Shangguan, Jinjiang Li, Zhen Hua

JARS, Vol. 17, Issue 01, 016515, (March 2023) https://doi.org/10.1117/12.10.1117/1.JRS.17.016515

KEYWORDS: Convolution, Feature extraction, Lithium, Remote sensing, Education and training, Visualization, Data modeling, Tunable filters, Target detection, Deep learning

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SPIE Journal Paper | 23 November 2022

Transformer-based multi-scale feature fusion network for remote sensing change detection

Shike Liang, Zhen Hua, Jinjiang Li

JARS, Vol. 16, Issue 04, 046509, (November 2022) https://doi.org/10.1117/12.10.1117/1.JRS.16.046509

KEYWORDS: Transformers, Remote sensing, Feature fusion, Image fusion, Feature extraction, Computer programming, Lithium, Image processing, Semantics, Windows

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SPIE Journal Paper | 30 December 2020

Edge-guided multispectral image fusion algorithm

Guihui Li, Jinjiang Li, Hui Fan

JARS, Vol. 14, Issue 04, 046515, (December 2020) https://doi.org/10.1117/12.10.1117/1.JRS.14.046515

KEYWORDS: Image fusion, Image enhancement, Multispectral imaging, Distortion, Lithium, Spatial resolution, Image quality, Principal component analysis, Image resolution, Fluctuations and noise

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Proceedings Article | 26 July 2018 Paper

Short-term power load forecasting based on the PSO-RVR model

Yan Zhang, Genji Yuan, Hanran Ji, Hui Fan, Jinjiang Li

Proceedings Volume 10828, 108281J (2018) https://doi.org/10.1117/12.2501924

KEYWORDS: Particle swarm optimization, Data modeling, Particles, Statistical modeling, Optimization (mathematics), Performance modeling, Genetic algorithms, Neural networks, Machine learning, Statistical analysis

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