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.
1: Puzhao Zhang , Maoguo Gong, Hui Zhang, Jia Liu and Yifang Ban (2018). Unsupervised Difference Representation Learning for Detecting Multiple Types of Changes in Multitemporal Remote Sensing Images. IEEE Transactions on Geoscience and Remote Sensing. In Print.
2: Puzhao Zhang , Maoguo Gong, Hui Zhang, and Jia Liu (2017, August). DRLnet: Deep Difference Representation Learning Network and An Unsupervised Optimization Framework. In Proceedings of the 26th International Joint Conference on Artificial Intelligence (IJCAI'17) (pp. 3413-3419). AAAI Press.
3: Puzhao Zhang, Maoguo Gong, Linzhi Su, Jia Liu, and Zhizhou Li (2016). Change detection based on deep feature representation and mapping transformation for multi-spatial resolution remote sensing images. ISPRS Journal of Photogrammetry and Remote Sensing, 116, 24-41.
4: Maoguo Gong, Puzhao Zhang, Linzhi Su, and Jia Liu (2016). Coupled dictionary learning for change detection from multisource data. IEEE Transactions on Geoscience and Remote Sensing, 54 (12), 7077-7091.
5: Maoguo Gong, Tao Zhan, Puzhao Zhang, and Qiguang Miao (2017). Superpixel-based difference representation learning for change detection in multispectral remote sensing images. IEEE Transactions on Geoscience and Remote Sensing, 55 (5), 2658-2673.
6: Maoguo Gong, Hailun Yang, and Puzhao Zhang (2017). Feature learning and change feature classification based on deep learning for ternary change detection in SAR images. ISPRS Journal of Photogrammetry and Remote Sensing, 129, 212-225.
7: Linzhi Su, Maoguo Gong, Puzhao Zhang, Zhang, M., Jia Liu, and Hailun Yang (2017). Deep learning and mapping based ternary change detection for information unbalanced images. Pattern Recognition, 66, 213-228.
8: Hui Zhang, Maoguo Gong, Puzhao Zhang, et al (2016). Feature-Level Change Detection Using Deep Representation and Feature Change Analysis for Multispectral Imagery [J]. IEEE Geoscience and Remote Sensing Letters, 13 (11): 1666-1670. [pdf]
9: Maoguo Gong, Niu, X., Puzhao Zhang, and Zhetao Li (2017). Generative Adversarial Networks for Change Detection in Multispectral Imagery. IEEE Geoscience and Remote Sensing Letters, 14 (12), 2310-2314.