Hongruixuan Chen | DeepAI

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Featured Co-authors

Bo Du
94 publications
Liangpei Zhang
65 publications
Chen Wu
50 publications
Jian Song
34 publications
Naoto Yokoya
31 publications
Lixiang Ru
6 publications
Bo Do
1 publication
Liangepei Zhang
1 publication
Jingwen Yuan
1 publication

∙ 09/05/2023

SyntheWorld: A Large-Scale Synthetic Dataset for Land Cover Mapping and Building Change Detection

Synthetic datasets, recognized for their cost effectiveness, play a pivo...

0 Jian Song, et al. ∙

∙ 10/03/2022

Unsupervised Multimodal Change Detection Based on Structural Relationship Graph Representation Learning

Unsupervised multimodal change detection is a practical and challenging ...

10 Hongruixuan Chen, et al. ∙

∙ 08/18/2021

Towards Deep and Efficient: A Deep Siamese Self-Attention Fully Efficient Convolutional Network for Change Detection in VHR Images

Recently, FCNs have attracted widespread attention in the CD field. In p...

9 Hongruixuan Chen, et al. ∙

∙ 06/26/2020

A Measurement of Transportation Ban inside Wuhan on the COVID-19 Epidemic by Vehicle Detection in Remote Sensing Imagery

Wuhan, the biggest city in China's central region with a population of m...

5 Chen Wu, et al. ∙

∙ 06/16/2020

DSDANet: Deep Siamese Domain Adaptation Convolutional Neural Network for Cross-domain Change Detection

Change detection (CD) is one of the most vital applications in remote se...

6 Hongruixuan Chen, et al. ∙

∙ 04/13/2020

Deep Siamese Domain Adaptation Convolutional Neural Network for Cross-domain Change Detection in Multispectral Images

Recently, deep learning has achieved promising performance in the change...

2 Hongruixuan Chen, et al. ∙

∙ 12/18/2019

Unsupervised Change Detection in Multi-temporal VHR Images Based on Deep Kernel PCA Convolutional Mapping Network

With the development of Earth observation technology, very-high-resoluti...

28 Chen Wu, et al. ∙

∙ 06/27/2019

Deep Siamese Multi-scale Convolutional Network for Change Detection in Multi-temporal VHR Images

Very high resolution (VHR) images provide abundant ground details and sp...

6 Hongruixuan Chen, et al. ∙

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