Puzhao Zhang

My research interests include machine learning, deep learning and artificial intelligence with their applications in satellite-based earth observation, such as optical and active microwave remote sensing.

Selected Publications:

Puzhao Zhang, Yifang Ban and Andrea Nascetti (2021). Learning U-Net without Forgetting for Near Real-Time Wildfire Monitoring by the Fusion of SAR and Optical Time Series. Remote Sensing of Environment, 261, 112467. (IF: 13.85)

Yifang Ban∗, Puzhao Zhang∗ (∗Equal Contribution, Corresponding Author), Andrea Nascetti et al. (2020) Near Real-Time Wildfire Progression Monitoring with Sentinel-1 SAR Time Series and Deep Learning. Scientific Reports, 10, 1326:1-15. (IF：5.134)

Puzhao Zhang, Andrea Nascetti, Yifang Ban, Maoguo Gong (2019). An Implicit Radar Convolutional Burn Index for Burnt Area Mapping with Sentinel-1 C-band SAR Data[J]. ISPRS Journal of Photogrammetry and Remote Sensing, 158:50-62. (IF: 11.77)

Puzhao Zhang, Maoguo Gong, Hui Zhang, Jia Liu, Yifang Ban (2018). Unsupervised Difference Representation Learning for Detecting Multiple Types of Changes in Multitemporal Remote Sensing Images[J]. IEEE Transactions on Geoscience and Remote Sensing, 57:2277-2289. (IF：8.12)

Puzhao Zhang, Maoguo Gong, Hui Zhang, Jia Liu (2017). DRLnet: Deep Difference Representation Learning Network and An Unsupervised Optimization Framework[C]. In the Proceedings of International Joint Conference of Artificial Intelligence (IJCAI). 3413-3419.

Puzhao Zhang, Maoguo Gong, Linzhi Su, Jia Liu, Zhizhou Li (2016). Change Detection Based on Deep Feature Representation and Mapping Transformation for Multi-spatial-resolution Remote Sensing Images [J]. ISPRS Journal of Photogrammetry and Remote Sensing, 2016, 116: 24-41. (IF：11.77, Highly Cited Paper)

Maoguo Gong, Puzhao Zhang, Linzhi Su, & Jia Liu (2016). Coupled dictionary learning for change detection from multisource data. IEEE Transactions on Geoscience and Remote Sensing, 54(12), 7077-7091.