Lingjuan Yu

According to our database, Lingjuan Yu authored at least 18 papers between 2016 and 2025.

Collaborative distances:

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

2025

Dual-branch evidential framework fusing hard example mining for abdominal organ segmentation.

Xiangchun Yu, Tianqi Wu, Dingwen Zhang, Miaomiao Liang, Lingjuan Yu, Jian Zheng

J. Real Time Image Process., April, 2025

Ground truth is the best teacher: supervised semantic segmentation inspired by knowledge transfer mechanisms.

Xiangchun Yu, Huofa Liu, Dingwen Zhang, Miaomiao Liang, Lingjuan Yu, Jian Zheng

Multim. Syst., February, 2025

SuperCoT-X: Masked Hyperspectral Image Modeling With Diverse Superpixel-Level Contrastive Tokenizer.

Miaomiao Liang, Weigang Wu, Huifang Shen, Lingjuan Yu, Xiangchun Yu, Licheng Jiao

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025

Feature Subspace Projection Knowledge Distillation for Medical Image Segmentation.

Xiangchun Yu, Qiaoyi Chen, Miaomiao Liang, Lingjuan Yu, Jian Zheng

Int. J. Imaging Syst. Technol., 2025

2024

Lightweight Pixel2mesh for 3-D Target Reconstruction From a Single SAR Image.

Lingjuan Yu, Jianping Zou, Miaomiao Liang, Liang Li, Xiaochun Xie, Xiangchun Yu, Wen Hong

IEEE Geosci. Remote. Sens. Lett., 2024

ConVaT: A Variational Generative Transformer With Momentum Contrastive Learning for Hyperspectral Image Classification.

Miaomiao Liang, Zuo Liu, Jian Dong, Lingjuan Yu, Xiangchun Yu, Jun Li, Licheng Jiao

IEEE Geosci. Remote. Sens. Lett., 2024

An efficient Transformer with neighborhood contrastive tokenization for hyperspectral images classification.

Miaomiao Liang, Xianhao Zhang, Xiangchun Yu, Lingjuan Yu, Zhe Meng, Xiaohong Zhang, Licheng Jiao

Int. J. Appl. Earth Obs. Geoinformation, 2024

2023

Complex-Valued U-Net with Capsule Embedded for Semantic Segmentation of PolSAR Image.

Lingjuan Yu, Qiqi Shao, Yuting Guo, Xiaochun Xie, Miaomiao Liang, Wen Hong

Remote. Sens., March, 2023

Self-Supervised Learning With Learnable Sparse Contrastive Sampling for Hyperspectral Image Classification.

Miaomiao Liang, Jian Dong, Lingjuan Yu, Xiangchun Yu, Zhe Meng, Licheng Jiao

IEEE Trans. Geosci. Remote. Sens., 2023

2022

A Lightweight Complex-Valued DeepLabv3+ for Semantic Segmentation of PolSAR Image.

Lingjuan Yu, Zhaoxin Zeng, Ao Liu, Xiaochun Xie, Haipeng Wang, Feng Xu, Wen Hong

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022

Amplitude-Phase CNN-Based SAR Target Classification via Complex-Valued Sparse Image.

Jiarui Deng, Hui Bi, Jingjing Zhang, Zehao Liu, Lingjuan Yu

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022

2020

Complex-Valued Full Convolutional Neural Network for SAR Target Classification.

Lingjuan Yu, Yuehong Hu, Xiaochun Xie, Yun Lin, Wen Hong

IEEE Geosci. Remote. Sens. Lett., 2020

2018

Single Channel Circular SAR Moving Target Detection Based on Logarithm Background Subtraction Algorithm.

Wenjie Shen, Yun Lin, Lingjuan Yu, Feiteng Xue, Wen Hong

Remote. Sens., 2018

2017

Initial result of single channel CSAR GMTI based on background subtraction.

Wenjie Shen, Yun Lin, Yue Zhao, Lingjuan Yu, Wen Hong

Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017

2016

Height Profile Estimation of Power Lines Based on Two-Dimensional CSAR Imagery.

Lingjuan Yu, Yun Lin, Yang Li, Jianfeng Wang, Wen Hong

IEEE Geosci. Remote. Sens. Lett., 2016

Target multi-aspect scattering sensitivity feature extraction based on Circular-SAR.

Yue Zhao, Yun Lin, Ping Wang Yan, Wen Hong, Lingjuan Yu

Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016

Performance analysis on SPC-MAB based multi-aspect data acquisition mode.

Wenjie Shen, Yun Lin, Baowen Zheng, Weixian Tan, Wen Hong, Lingjuan Yu

Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016

Study on fine feature description of multi-aspect SAR observations.

Yun Lin, Wen Hong, Yang Li, Weixian Tan, Lingjuan Yu, Liying Hou, Jianfeng Wang, Yan Liu, Weiyan Wang

Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016