Yongcheng Wang

Orcid: 0000-0002-1647-2956

Affiliations:
  • Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun, China


According to our database1, Yongcheng Wang authored at least 17 papers between 2020 and 2024.

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

Timeline

Legend:

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Bibliography

2024
Ship Detection with Deep Learning in Optical Remote-Sensing Images: A Survey of Challenges and Advances.
Remote. Sens., April, 2024

Multi-Scale Feature Fusion Network with Symmetric Attention for Land Cover Classification Using SAR and Optical Images.
Remote. Sens., March, 2024

Hyperspectral Image Classification Framework Based on Multichannel Graph Convolutional Networks and Class-Guided Attention Mechanism.
IEEE Trans. Geosci. Remote. Sens., 2024

Remote Sensing Hyperspectral Image Super-Resolution via Multidomain Spatial Information and Multiscale Spectral Information Fusion.
IEEE Trans. Geosci. Remote. Sens., 2024

Context Feature Integration and Balanced Sampling Strategy for Small Weak Object Detection in Remote Sensing Imagery.
IEEE Geosci. Remote. Sens. Lett., 2024

Feature Super-Resolution Fusion With Cross-Scale Distillation for Small-Object Detection in Optical Remote Sensing Images.
IEEE Geosci. Remote. Sens. Lett., 2024

2023
Information Leakage in Deep Learning-Based Hyperspectral Image Classification: A Survey.
Remote. Sens., August, 2023

RoI Fusion Strategy With Self-Attention Mechanism for Object Detection in Remote Sensing Images.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023

A Review of Hyperspectral Image Super-Resolution Based on Deep Learning.
Remote. Sens., 2023

2022
A Multi-Degradation Aided Method for Unsupervised Remote Sensing Image Super Resolution With Convolution Neural Networks.
IEEE Trans. Geosci. Remote. Sens., 2022

Orientation-First Strategy With Angle Attention Module for Rotated Object Detection in Remote Sensing Images.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022

Deep Learning-Based Object Detection Techniques for Remote Sensing Images: A Survey.
Remote. Sens., 2022

2021
Spectral-Spatial Fractal Residual Convolutional Neural Network With Data Balance Augmentation for Hyperspectral Classification.
IEEE Trans. Geosci. Remote. Sens., 2021

Chirp Signal Denoising Based on Convolution Neural Network.
Circuits Syst. Signal Process., 2021

2020
An Unsupervised Remote Sensing Single-Image Super-Resolution Method Based on Generative Adversarial Network.
IEEE Access, 2020

SSDANet: Spectral-Spatial Three-Dimensional Convolutional Neural Network for Hyperspectral Image Classification.
IEEE Access, 2020

Infrared and Visible Image Fusion Using a Deep Unsupervised Framework With Perceptual Loss.
IEEE Access, 2020


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