Songlin Jin

According to our database, Songlin Jin authored at least 10 papers between 2022 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

CSKNN: Cost-sensitive K-Nearest Neighbor using hyperspectral imaging for identification of wheat varieties.

Songlin Jin, Fengfan Zhang, Ying Zheng, Ling Zhou, Xiangang Zuo, Ziyang Zhang, Wenyi Zhao, Weidong Zhang, Xipeng Pan

Comput. Electr. Eng., October, 2023

Tensor based low rank representation of hyperspectral images for wheat seeds varieties identification.

Jinliang An, Chen Zhang, Ling Zhou, Songlin Jin, Ziyang Zhang, Wenyi Zhao, Xipeng Pan, Weidong Zhang

Comput. Electr. Eng., September, 2023

MCANet: Multi-channel attention network with multi-color space encoder for underwater image classification.

Guohou Li, Fangyuan Wang, Ling Zhou, Songlin Jin, Xiwang Xie, Chang Ding, Xipeng Pan, Weidong Zhang

Comput. Electr. Eng., May, 2023

Feature selection and cascade dimensionality reduction for self-supervised visual representation learning.

Peixin Qu, Songlin Jin, Yongqin Tian, Ling Zhou, Ying Zheng, Weidong Zhang, Yibo Xu, Xipeng Pan, Wenyi Zhao

Comput. Electr. Eng., March, 2023

Underwater Image Enhancement via Piecewise Color Correction and Dual Prior Optimized Contrast Enhancement.

Weidong Zhang, Songlin Jin, Peixian Zhuang, Zheng Liang, Chongyi Li

IEEE Signal Process. Lett., 2023

DAMNet: Dual Attention Mechanism Deep Neural Network for Underwater Biological Image Classification.

Peixin Qu, Tengfei Li, Ling Zhou, Songlin Jin, Zheng Liang, Wenyi Zhao, Weidong Zhang

IEEE Access, 2023

Delving Deeper Into Image Dehazing: A Survey.

Guohou Li, Jia Li, Gongchao Chen, Zhibin Wang, Songlin Jin, Chang Ding, Weidong Zhang

IEEE Access, 2023

2022

Multi-feature embedded learning SVM for cloud detection in remote sensing images.

Weidong Zhang, Songlin Jin, Ling Zhou, Xiwang Xie, Fangyuan Wang, Lili Jiang, Ying Zheng, Peixin Qu, Guohou Li, Xipeng Pan

Comput. Electr. Eng., 2022

Spatial-spectral feature extraction of hyperspectral images for wheat seed identification.

Songlin Jin, Weidong Zhang, Pengfei Yang, Ying Zheng, Jinliang An, Ziyang Zhang, Peixin Qu, Xipeng Pan

Comput. Electr. Eng., 2022

Color Correction and Local Contrast Enhancement for Underwater Image Enhancement.

Songlin Jin, Peixin Qu, Ying Zheng, Wenyi Zhao, Weidong Zhang

IEEE Access, 2022