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20192026
most citedChangeMamba: Remote Sensing Change Detection With Spatiotemporal State Space Model

373 citations · 1.2k across the 43 of their papers we have counts for

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eess.IV2025★ 1 cited

OpenEarthMap-SAR: A Benchmark Synthetic Aperture Radar Dataset for Global High-Resolution Land Cover Mapping

Junshi Xia, Hongruixuan Chen, Clifford Broni-Bediako +3

High-resolution land cover mapping plays a crucial role in addressing a wide range of global challenges, including urban planning, environmental monitoring, disaster response, and…

eess.IV2024★ 373 cited

ChangeMamba: Remote Sensing Change Detection With Spatiotemporal State Space Model

Hongruixuan Chen, Jian Song, Chengxi Han +2

Convolutional neural networks (CNN) and Transformers have made impressive progress in the field of remote sensing change detection (CD). However, both architectures have inherent s…

eess.IV2024

Change Detection Between Optical Remote Sensing Imagery and Map Data via Segment Anything Model (SAM)

Hongruixuan Chen, Jian Song, Naoto Yokoya

Unsupervised multimodal change detection is pivotal for time-sensitive tasks and comprehensive multi-temporal Earth monitoring. In this study, we explore unsupervised multimodal ch…

eess.IV2019★ 13 cited

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

Chen Wu, Hongruixuan Chen, Bo Do +1

With the development of Earth observation technology, very-high-resolution (VHR) image has become an important data source of change detection. Nowadays, deep learning methods have…

eess.IV2019★ 17 cited

Change Detection in Multi-temporal VHR Images Based on Deep Siamese Multi-scale Convolutional Networks

Hongruixuan Chen, Chen Wu, Bo Du +1

Very-high-resolution (VHR) images can provide abundant ground details and spatial geometric information. Change detection in multi-temporal VHR images plays a significant role in u…