HU Meiqi(胡美琪-中山大学) |
Journals:
[11] HyperSIGMA: Hyperspectral Intelligence Comprehension Foundation Model
Di Wang, Meiqi Hu , Yao Jin, Yuchun Miao, Jiaqi Yang, Yichu Xu, Xiaolei Qin, Jiaqi Ma, Lingyu Sun, Chenxing Li, Chuan Fu, Hongruixuan Chen, Chengxi Han, Naoto Yokoya, Jing Zhang, Minqiang Xu, Lin Liu, Lefei Zhang, Chen Wu, Bo Du, Dacheng Tao, and Liangpei Zhang XXXX (XXX), 2024. [Paper][Code] |
[10] GlobalMind: Global Multi-head Interactive Self-attention Network for Hyperspectral Change Detection
M. Hu, C. Wu, and L. Zhang, ISPRS Journal of Photogrammetry and Remote Sensing(ISPRS), 2023. (SCI Q1, IF=12.7) [Paper][Code] |
[9] C2F-SemiCD: A coarse-to-fine semi-supervised change detection method based on consistency regularization in High-Resolution Remote-Sensing Images
C. Han,C. Wu, M. Hu., J. Li, and H. Chen, IEEE Transactions on Geoscience and Remote Sensing (TGRS), 2023. (SCI Q1 TOP, IF=8.2) [Paper][Code] |
[8] Multiscale Change Detection Network based on Channel Attention and Fully Convolutional BiLSTM for Medium-resolution Remote Sensing Imagery
J. Li, M. Hu, and C. Wu, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (JSTARS), 2023. (SCI Q2, IF=5.5) [Paper] |
[7] Change Guiding Network: Incorporating Change Prior to Guide Change Detection in Remote Sensing Imagery
C. Han, C. Wu, H. Guo, M. Hu. J. Li, and H. Chen, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (JSTARS), 2023. (SCI Q3, IF=5.5) [Paper][Code] |
[6] Collaborative-guided spectral abundance learning with bilinear mixing model for hyperspectral subpixel target detection
D. Zhu, B. Du, M. Hu., Y. Dong and L. Zhang, Neural Networks (NN), 2023. (SCI Q1 TOP, IF=7.8) [Paper] |
[5] HANet: A hierarchical attention network for change detection with bi-temporal very-high-resolution remote sensing images
C. Han,C. Wu, H. Guo , M. Hu. and H. Chen, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (JSTARS), 2023. (SCI Q3, IF=5.5) [Paper][Code] |
[4]Binary Change Guided Hyperspectral Multiclass Change Detection
M. Hu, C. Wu, B. Du and L. Zhang, IEEE Transactions on Image Processing (TIP), 2023. (SCI Q1 TOP, IF=10.6) [Paper][Code] |
[3] HyperNet: Self-Supervised Hyperspectral Spatial–Spectral Feature Understanding Network for Hyperspectral Change Detection
M. Hu, C. Wu and L. Zhang, IEEE Transactions on Geoscience and Remote Sensing (TGRS), 2021. (SCI Q1 TOP, IF=8.2) [Paper][Code] |
[2] Hyperspectral Anomaly Change Detection Based on Autoencoder
M. Hu, C. Wu, L. Zhang and B. Du, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (JSTARS), 2021. (SCI Q3, IF=5.5) [Paper][Code] |
[1] Traffic density reduction caused by city lockdowns across the world during the COVID-19 epidemic: from the view of high-resolution remote sensing imagery
Wu, C., Zhu, S., Yang, J., Hu, M., Du, B., Zhang, L., Zhang, L., Han, C. and Lan, M., IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (JSTARS), 2021. (SCI Q3, IF=5.5) [Paper] |
Conferences:
[2] EMS-Net: Efficient Multi-Temporal Self-Attention For Hyperspectral Change Detection
M. Hu, C. Wu, Proceeding of the IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2023), 2023. (EI) [Paper] |
[1] Multi-Temporal Spatial-Spectral Comparison Network For Hyperspectral Anomalous Change Detection
M. Hu, C. Wu and B. Du, Proceeding of the IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2022), 2022. (EI) [Paper] |
Membership:
Journal Reviewer: