Wenchao Liu

Orcid: 0000-0001-7747-523X

Affiliations:
  • Beijing Institute of Technology, National Key Laboratory of Science and Technology on Space-Born Intelligent Information Processing, Beijing, China


According to our database1, Wenchao Liu authored at least 22 papers between 2017 and 2024.

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

Timeline

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Bibliography

2024
Knowledge Distillation-Based Lightweight Change Detection in High-Resolution Remote Sensing Imagery for On-Board Processing.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024

Domain Adaptive Remote Sensing Scene Classification With Middle-Layer Feature Extraction and Nuclear Norm Maximization.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024

2023
All Adder Neural Networks for On-Board Remote Sensing Scene Classification.
IEEE Trans. Geosci. Remote. Sens., 2023

An Extremely Pipelined FPGA-based accelerator of All Adder Neural Networks for On-board Remote Sensing Scene Classification.
Proceedings of the International Conference on Field Programmable Technology, 2023

2022
Sphere Loss: Learning Discriminative Features for Scene Classification in a Hyperspherical Feature Space.
IEEE Trans. Geosci. Remote. Sens., 2022

Automatic Deployment of Convolutional Neural Networks on FPGA for Spaceborne Remote Sensing Application.
Remote. Sens., 2022

RDPN: Tackling the Data Shift Problem in Remote Sensing Scene Classification.
IEEE Geosci. Remote. Sens. Lett., 2022

Cosine Margin Prototypical Networks for Remote Sensing Scene Classification.
IEEE Geosci. Remote. Sens. Lett., 2022

NAS-Based CNN Channel Pruning for Remote Sensing Scene Classification.
IEEE Geosci. Remote. Sens. Lett., 2022

MFST: A Multi-Level Fusion Network for Remote Sensing Scene Classification.
IEEE Geosci. Remote. Sens. Lett., 2022

Effective Multiscale Residual Network With High-Order Feature Representation for Optical Remote Sensing Scene Classification.
IEEE Geosci. Remote. Sens. Lett., 2022

2021
Mixed-Precision Quantization for CNN-Based Remote Sensing Scene Classification.
IEEE Geosci. Remote. Sens. Lett., 2021

2020
Marginal Center Loss for Deep Remote Sensing Image Scene Classification.
IEEE Geosci. Remote. Sens. Lett., 2020

2019
FPGA-Based Hybrid-Type Implementation of Quantized Neural Networks for Remote Sensing Applications.
Sensors, 2019

Detection of Multiclass Objects in Optical Remote Sensing Images.
IEEE Geosci. Remote. Sens. Lett., 2019

Optical Remote Sensing Water-Land Segmentation Representation Based on Proposed SNS-CNN Network.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

Inshore Ship Change Detection Based on Spatial-Temporal Saliency.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

2018
IORN: An Effective Remote Sensing Image Scene Classification Framework.
IEEE Geosci. Remote. Sens. Lett., 2018

Arbitrary-Oriented Ship Detection Framework in Optical Remote-Sensing Images.
IEEE Geosci. Remote. Sens. Lett., 2018

Change Detection in Optical Remote Sensing Images with a Fully Object-Level Approach.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

Hardware Implementation of Convolutional Neural Network-Based Remote Sensing Image Classification Method.
Proceedings of the Communications, Signal Processing, and Systems, 2018

2017
Sea - Land Segmentation for Panchromatic Remote Sensing Imagery via Integrating Improved MNcut and Chan - Vese Model.
IEEE Geosci. Remote. Sens. Lett., 2017


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