Kun Zhu

Orcid: 0000-0001-6279-9215

Affiliations:
  • Wuhan University, LIEMARS, China


According to our database1, Kun Zhu authored at least 15 papers between 2018 and 2024.

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

Timeline

Legend:

Book 
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PhD thesis 
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Links

Online presence:

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Bibliography

2024
Adapting Segment Anything Model for Change Detection in VHR Remote Sensing Images.
IEEE Trans. Geosci. Remote. Sens., 2024

2023
Feature Relation Guided Cross-View Image Based Geo-Localization.
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

SDFCNv2: An Improved FCN Framework for Remote Sensing Images Semantic Segmentation.
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


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