Yinhe Li

According to our database, Yinhe Li authored at least 10 papers between 2023 and 2025.

Collaborative distances:

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

2025

GASSM: Global attention and state space model based end-to-end hyperspectral change detection.

Yinhe Li, Jinchang Ren, Hang Fu, Genyun Sun

J. Frankl. Inst., 2025

2024

SSA-LHCD: A Singular Spectrum Analysis-Driven Lightweight Network with 2-D Self-Attention for Hyperspectral Change Detection.

Yinhe Li, Jinchang Ren, Yijun Yan, Genyun Sun, Ping Ma

Remote. Sens., July, 2024

ABBD: Accumulated Band-Wise Binary Distancing for Unsupervised Parameter-Free Hyperspectral Change Detection.

Yinhe Li, Jinchang Ren, Yijun Yan, Ping Ma, Maher Assaad, Zhi Gao

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024

HDMba: Hyperspectral Remote Sensing Imagery Dehazing with State Space Model.

Hang Fu, Genyun Sun, Yinhe Li, Jinchang Ren, Aizhu Zhang, Cheng Jing, Pedram Ghamisi

CoRR, 2024

Non-Destructive Peat Analysis using Hyperspectral Imaging and Machine Learning.

Yijun Yan, Jinchang Ren, Barry Harrison, Oliver Lewis, Yinhe Li, Ping Ma

CoRR, 2024

Sparse Autoencoder Based Hyperspectral Anomaly Detection with the Singular Spectrum Analysis Based Spectral Denoising.

Yinhe Li, Jinchang Ren, Zhi Gao, Genyun Sun

Proceedings of the IGARSS 2024, 2024

2023

CBANet: An End-to-End Cross-Band 2-D Attention Network for Hyperspectral Change Detection in Remote Sensing.

Yinhe Li, Jinchang Ren, Yijun Yan, Qiaoyuan Liu, Ping Ma, Andrei Petrovski, Haijiang Sun

IEEE Trans. Geosci. Remote. Sens., 2023

Siamese Residual Neural Network for Musical Shape Evaluation in Piano Performance Assessment.

Xiaoquan Li, Stephan Weiss, Yijun Yan, Yinhe Li, Jinchang Ren, John J. Soraghan, Ming Gong

Proceedings of the 31st European Signal Processing Conference, 2023

Underwater Object Detection for Smooth and Autonomous Operations of Naval Missions: A Pilot Dataset.

Yijun Yan, Yinhe Li, Hanhe Lin, Md. Mostafa Kamal Sarker, Jinchang Ren, John McCall

Proceedings of the Advances in Brain Inspired Cognitive Systems, 2023

MLM-LSTM: Multi-layer Memory Learning Framework Based on LSTM for Hyperspectral Change Detection.

Yinhe Li, Yijun Yan, Jinchang Ren, Qiaoyuan Liu, Haijiang Sun

Proceedings of the Advances in Brain Inspired Cognitive Systems, 2023