Sheng Lin

Orcid: 0000-0002-1096-3973

Affiliations:
  • Xidian University, School of Aerospace Science and Technology, Xi'an, China


According to our database1, Sheng Lin authored at least 15 papers between 2020 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Hyperspectral Anomaly Detection via Low-Rank Representation with Dual Graph Regularizations and Adaptive Dictionary.
Remote. Sens., June, 2024

Dynamic Low-Rank and Sparse Priors Constrained Deep Autoencoders for Hyperspectral Anomaly Detection.
IEEE Trans. Instrum. Meas., 2024

Low-Rank and Sparse Representation Inspired Interpretable Network for Hyperspectral Anomaly Detection.
IEEE Trans. Instrum. Meas., 2024

Deep Self-Representation Learning Framework for Hyperspectral Anomaly Detection.
IEEE Trans. Instrum. Meas., 2024

Deep Feature Aggregation Network for Hyperspectral Anomaly Detection.
IEEE Trans. Instrum. Meas., 2024

Memory-Augmented Autoencoder With Adaptive Reconstruction and Sample Attribution Mining for Hyperspectral Anomaly Detection.
IEEE Trans. Geosci. Remote. Sens., 2024

2023
Hyperspectral Anomaly Detection Using Spatial-Spectral-Based Union Dictionary and Improved Saliency Weight.
Remote. Sens., July, 2023

A combination network of CNN and transformer for interference identification.
Frontiers Comput. Neurosci., February, 2023

Arbitrary-Oriented Ellipse Detector for Ship Detection in Remote Sensing Images.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023

Dual Collaborative Constraints Regularized Low-Rank and Sparse Representation via Robust Dictionaries Construction for Hyperspectral Anomaly Detection.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023

Hyperspectral Anomaly Detection via Sparse Representation and Collaborative Representation.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023

Two-Stream Isolation Forest Based on Deep Features for Hyperspectral Anomaly Detection.
IEEE Geosci. Remote. Sens. Lett., 2023

2022
Hyperspectral Anomaly Detection via Dual Dictionaries Construction Guided by Two-Stage Complementary Decision.
Remote. Sens., 2022

Multiscale Superpixel Guided Discriminative Forest for Hyperspectral Anomaly Detection.
Remote. Sens., 2022

2020
Object Detection in Remote Sensing Images Based on Improved Bounding Box Regression and Multi-Level Features Fusion.
Remote. Sens., 2020


  Loading...