Kun Zhu
Orcid: 0000-0001-6279-9215Affiliations:
- Wuhan University, LIEMARS, China
According to our database1,
Kun Zhu
authored at least 16 papers
between 2018 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
IEEE Trans. Geosci. Remote. Sens., 2024
BFA-YOLO: Balanced multiscale object detection network for multi-view building facade attachments detection.
CoRR, 2024
2023
Remote. Sens., October, 2023
Adaptive Adjacent Layer Feature Fusion for Object Detection in Remote Sensing Images.
Remote. Sens., September, 2023
Detecting Individual Plants Infected with Pine Wilt Disease Using Drones and Satellite Imagery: A Case Study in Xianning, China.
Remote. Sens., 2023
2022
Multi-Oriented Rotation-Equivariant Network for Object Detection on Remote Sensing Images.
IEEE Geosci. Remote. Sens. Lett., 2022
Object-Based Classification Framework of Remote Sensing Images With Graph Convolutional Networks.
IEEE Geosci. Remote. Sens. Lett., 2022
A Superpixel-Guided Unsupervised Fast Semantic Segmentation Method of Remote Sensing Images.
IEEE Geosci. Remote. Sens. Lett., 2022
Distinguishable keypoint detection and matching for optical satellite images with deep convolutional neural networks.
Int. J. Appl. Earth Obs. Geoinformation, 2022
2021
Single Object Tracking in Satellite Videos: Deep Siamese Network Incorporating an Interframe Difference Centroid Inertia Motion Model.
Remote. Sens., 2021
Enlighten-GAN for Super Resolution Reconstruction in Mid-Resolution Remote Sensing Images.
Remote. Sens., 2021
Remote. Sens., 2021
2020
Convective Clouds Extraction From Himawari-8 Satellite Images Based on Double-Stream Fully Convolutional Networks.
IEEE Geosci. Remote. Sens. Lett., 2020
2019
Geospatial Object Detection on High Resolution Remote Sensing Imagery Based on Double Multi-Scale Feature Pyramid Network.
Remote. Sens., 2019
2018
Symmetrical Dense-Shortcut Deep Fully Convolutional Networks for Semantic Segmentation of Very-High-Resolution Remote Sensing Images.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2018
Training Small Networks for Scene Classification of Remote Sensing Images via Knowledge Distillation.
Remote. Sens., 2018