Cloud removal with fusion of SAR and Optical Images by Deep Learning. - Jianhao Gao; Hai Zhang; Qiangqiang Yuan (MultiTemp, 2019)

Green Energy Strategic Management for Service of Quality Composition in the Internet of Things Environment. - Jianhao Gao (Complex., 2020)

Cloud Removal with Fusion of High Resolution Optical and SAR Images Using Generative Adversarial Networks. - Jianhao Gao; Qiangqiang Yuan; Jie Li 022; Hai Zhang; Xin Su 003 (Remote. Sens., 2020)

Self-supervised Hyperspectral and Multispectral Image Fusion in Deep Neural Network. - Jianhao Gao; Jie Li 022; Qiangqiang Yuan; Jiang He; Xin Su 003 (ICIG (3), 2021)

Unsupervised missing information reconstruction for single remote sensing image with Deep Code Regression. - Jianhao Gao; Qiangqiang Yuan; Jie Li 022; Xin Su 003 (Int. J. Appl. Earth Obs. Geoinformation, 2021)

Hyperspectral and Multispectral Image Fusion by Deep Neural Network in a Self-Supervised Manner. - Jianhao Gao; Jie Li 022; Menghui Jiang (Remote. Sens., 2021)

Sentinel-2 Cloud Removal Considering Ground Changes by Fusing Multitemporal SAR and Optical Images. - Jianhao Gao; Yang Yi; Tang Wei; Haoguan Zhang (Remote. Sens., 2021)

Deep Image Interpolation: A Unified Unsupervised Framework for Pansharpening. - Jianhao Gao; Jie Li 022; Xin Su 003; Menghui Jiang; Qiangqiang Yuan (CVPR Workshops, 2022)

Towards Real-world Shadow Removal with a Shadow Simulation Method and a Two-stage Framework. - Jianhao Gao; Quanlong Zheng; Yandong Guo (CVPR Workshops, 2022)