Shangzhen Song

According to our database, Shangzhen Song authored at least 14 papers between 2019 and 2023.

Collaborative distances:

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

2023

Low-Visibility Vehicle-Road Environment Perception Based on the Multi-Modal Visual Features Fusion of Polarization and Infrared.

Huifeng Wang, Yun-Mei Jiao, Ting Hao, Yuan-He Shan, Shangzhen Song, He Huang

IEEE Trans. Intell. Transp. Syst., November, 2023

A real-time omnidirectional target detection system based on FPGA.

Zhe Zhang, Huan Li, Yue Yu, Hanlin Qin, Dabao Wang, Huixin Zhou, Shangzhen Song, Yanyan Liu

Multim. Tools Appl., 2023

2022

Vehicle-Road Environment Perception Under Low-Visibility Condition Based on Polarization Features via Deep Learning.

Huifeng Wang, Yuan-He Shan, Ting Hao, Xiangmo Zhao, Shangzhen Song, He Huang, Jiajia Zhang

IEEE Trans. Intell. Transp. Syst., 2022

2021

Robust Background Feature Extraction Through Homogeneous Region-Based Joint Sparse Representation for Hyperspectral Anomaly Detection.

Yixin Yang, Shangzhen Song, Delian Liu, Jianqi Zhang, Jonathan Cheung-Wai Chan

IEEE Trans. Geosci. Remote. Sens., 2021

2020

Hyperspectral Anomaly Detection via Graph Dictionary-Based Low Rank Decomposition with Texture Feature Extraction.

Shangzhen Song, Yixin Yang, Huixin Zhou, Jonathan Cheung-Wai Chan

Remote. Sens., 2020

Low-Rank and Sparse Matrix Decomposition With Orthogonal Subspace Projection-Based Background Suppression for Hyperspectral Anomaly Detection.

Yixin Yang, Jianqi Zhang, Shangzhen Song, Chi Zhang, Delian Liu

IEEE Geosci. Remote. Sens. Lett., 2020

Hyperspectral Anomaly Detection via Tensor- Based Endmember Extraction and Low-Rank Decomposition.

Shangzhen Song, Huixin Zhou, Lin Gu, Yixin Yang, Yiyi Yang

IEEE Geosci. Remote. Sens. Lett., 2020

Explainable-by-design Semi-Supervised Representation Learning for COVID-19 Diagnosis from CT Imaging.

Abel Díaz Berenguer, Hichem Sahli, Boris Joukovsky, Maryna Kvasnytsia, Ine Dirks, Mitchel Alioscha-Pérez, Nikos Deligiannis, Panagiotis Gonidakis, Sebastián Amador Sánchez, Redona Brahimetaj, Evgenia Papavasileiou, Jonathan Cheung-Wai Chan, Fei Li, Shangzhen Song, Yixin Yang, Sofie Tilborghs, Siri Willems, Tom Eelbode, Jeroen Bertels, Dirk Vandermeulen, Frederik Maes, Paul Suetens, Lucas Fidon, Tom Vercauteren, David Robben, Arne Brys, Dirk Smeets, Bart Ilsen, Nico Buls, Nina Watté, Johan de Mey, Annemiek Snoeckx, Paul M. Parizel, Julien Guiot, Louis Deprez, Paul Meunier, Stefaan Gryspeerdt, Kristof De Smet, Bart Jansen, Jef Vandemeulebroucke

CoRR, 2020

Hyperspectral Anomaly Detection Through Sparse Representation With Tensor Decomposition-Based Dictionary Construction and Adaptive Weighting.

Yixin Yang, Shangzhen Song, Delian Liu, Jonathan Cheung-Wai Chan, Jinze Li, Jianqi Zhang

IEEE Access, 2020

Hyperspectral Anomaly Detection via Graphical Connected Point Estimation and Multiple Support Vector Machines.

Shangzhen Song, Hanlin Qin, Yixin Yang, Zhe Zhang, Huixin Zhou

IEEE Access, 2020

2019

Hyperspectral Anomaly Detection via Convolutional Neural Network and Low Rank With Density-Based Clustering.

Shangzhen Song, Huixin Zhou, Yixin Yang, Jiangluqi Song

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2019

Hyperspectral Anomaly Detection via Dictionary Construction-Based Low-Rank Representation and Adaptive Weighting.

Yixin Yang, Jianqi Zhang, Shangzhen Song, Delian Liu

Remote. Sens., 2019

Low-Rank & Sparse Matrix Decomposition and Support Vector Machine for Hyperspectral Anomaly Detection.

Shangzhen Song, Huixin Zhou, Zhe Zhang, Yixin Yang, Pei Xiang, Juan Du, Jiajia Zhang

Proceedings of the Smart Multimedia - Second International Conference, 2019

RCA-NET: Image Recovery Network with Channel Attention Group for Image Dehazing.

Juan Du, Jiajia Zhang, Zhe Zhang, Wei Tan, Shangzhen Song, Huixin Zhou

Proceedings of the Smart Multimedia - Second International Conference, 2019