1 code implementation • 22 Apr 2024 • Chengxi Han, Chen Wu, Meiqi Hu, Jiepan Li, Hongruixuan Chen
A high-precision feature extraction model is crucial for change detection (CD).
1 code implementation • 14 Apr 2024 • Chengxi Han, Chen Wu, HaoNan Guo, Meiqi Hu, Jiepan Li, Hongruixuan Chen
The rapid advancement of automated artificial intelligence algorithms and remote sensing instruments has benefited change detection (CD) tasks.
Ranked #1 on Change Detection on LEVIR+
2 code implementations • 14 Apr 2024 • Chengxi Han, Chen Wu, HaoNan Guo, Meiqi Hu, Hongruixuan Chen
Benefiting from the developments in deep learning technology, deep-learning-based algorithms employing automatic feature extraction have achieved remarkable performance on the change detection (CD) task.
Ranked #1 on Change Detection on GoogleGZ-CD
no code implementations • 18 Apr 2023 • Meiqi Hu, Chen Wu, Liangpei Zhang
High spectral resolution imagery of the Earth's surface enables users to monitor changes over time in fine-grained scale, playing an increasingly important role in agriculture, defense, and emergency response.
no code implementations • 24 Mar 2023 • Meiqi Hu, Chen Wu, Bo Du
Hyperspectral change detection plays an essential role of monitoring the dynamic urban development and detecting precise fine object evolution and alteration.
no code implementations • 20 Jul 2022 • Meiqi Hu, Chen Wu, Liangpei Zhang
Only the positive samples at the same location of bi-temporal HSIs are created and forced to be aligned, aiming at learning the spectral difference-invariant features.
no code implementations • 23 May 2022 • Meiqi Hu, Chen Wu, Bo Du
Hyperspectral anomalous change detection has been a challenging task for its emphasis on the dynamics of small and rare objects against the prevalent changes.
no code implementations • 8 Dec 2021 • Meiqi Hu, Chen Wu, Bo Du, Liangpei Zhang
In this study, we proposed an unsupervised Binary Change Guided hyperspectral multiclass change detection Network (BCG-Net) for HMCD, which aims at boosting the multiclass change detection result and unmixing result with the mature binary change detection approaches.
no code implementations • 2 Mar 2021 • Chen Wu, Sihan Zhu, Jiaqi Yang, Meiqi Hu, Bo Du, Liangpei Zhang, Lefei Zhang, Chengxi Han, Meng Lan
Considering that public transportation was mostly reduced or even forbidden, our results indicate that city lockdown policies are effective at limiting human transmission within cities.
1 code implementation • 27 Oct 2020 • Meiqi Hu, Chen Wu, Liangpei Zhang, Bo Du
In the ACDA model, two systematic auto-encoder (AE) networks are deployed to construct two predictors from two directions.