Hao Chen

Orcid: 0000-0002-6418-3761

Affiliations:
  • Beihang University, School of Astronautics, Beijing, China


According to our database1, Hao Chen authored at least 29 papers between 2017 and 2024.

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

Timeline

Legend:

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Online presence:

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Bibliography

2024
BiFA: Remote Sensing Image Change Detection With Bitemporal Feature Alignment.
IEEE Trans. Geosci. Remote. Sens., 2024

RSPrompter: Learning to Prompt for Remote Sensing Instance Segmentation Based on Visual Foundation Model.
IEEE Trans. Geosci. Remote. Sens., 2024

Learning to detect cloud and snow in remote sensing images from noisy labels.
CoRR, 2024

DeepPhysiNet: Bridging Deep Learning and Atmospheric Physics for Accurate and Continuous Weather Modeling.
CoRR, 2024

2023
Implicit Ray Transformers for Multiview Remote Sensing Image Segmentation.
IEEE Trans. Geosci. Remote. Sens., 2023

Continuous Cross-Resolution Remote Sensing Image Change Detection.
IEEE Trans. Geosci. Remote. Sens., 2023

Time Travelling Pixels: Bitemporal Features Integration with Foundation Model for Remote Sensing Image Change Detection.
CoRR, 2023

Remote Sensing Image Change Detection Towards Continuous Bitemporal Resolution Differences.
CoRR, 2023

Diffusion Models for Imperceptible and Transferable Adversarial Attack.
CoRR, 2023

Implicit Ray-Transformers for Multi-view Remote Sensing Image Segmentation.
CoRR, 2023

2022
Remote Sensing Image Change Captioning With Dual-Branch Transformers: A New Method and a Large Scale Dataset.
IEEE Trans. Geosci. Remote. Sens., 2022

Geographical Knowledge-Driven Representation Learning for Remote Sensing Images.
IEEE Trans. Geosci. Remote. Sens., 2022

Remote Sensing Image Change Detection With Transformers.
IEEE Trans. Geosci. Remote. Sens., 2022

Adversarial Instance Augmentation for Building Change Detection in Remote Sensing Images.
IEEE Trans. Geosci. Remote. Sens., 2022

Semantic-Aware Dense Representation Learning for Remote Sensing Image Change Detection.
IEEE Trans. Geosci. Remote. Sens., 2022

A Degraded Reconstruction Enhancement-Based Method for Tiny Ship Detection in Remote Sensing Images With a New Large-Scale Dataset.
IEEE Trans. Geosci. Remote. Sens., 2022

Contrastive Learning for Fine-Grained Ship Classification in Remote Sensing Images.
IEEE Trans. Geosci. Remote. Sens., 2022

3D Reconstruction of Remote Sensing Mountain Areas with TSDF-Based Neural Networks.
Remote. Sens., 2022

Remote-Sensing Image Segmentation Based on Implicit 3-D Scene Representation.
IEEE Geosci. Remote. Sens. Lett., 2022

Enhance Essential Features for Road Extraction from Remote Sensing Images.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

Hyperspectral Image Generation From Rgb Images With Semantic and Spatial Distribution Consistency.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

Semantic Decoupled Representation Learning for Remote Sensing Image Change Detection.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

2021
Semantic Segmentation of Remote Sensing Images With Self-Supervised Multitask Representation Learning.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021

S2Looking: A Satellite Side-Looking Dataset for Building Change Detection.
Remote. Sens., 2021

S2Looking: A Satellite Side-Looking Dataset for Building Change Detection.
CoRR, 2021

Efficient Transformer based Method for Remote Sensing Image Change Detection.
CoRR, 2021

2020
A Spatial-Temporal Attention-Based Method and a New Dataset for Remote Sensing Image Change Detection.
Remote. Sens., 2020

2018
Learning to Segment Objects of Various Sizes in VHR Aerial Images.
Proceedings of the Image and Graphics Technologies and Applications, 2018

2017
Dry and Wet Snow Cover Mapping in Mountain Areas Using SAR and Optical Remote Sensing Data.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2017


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