Dr. Ce Zhang | UK Centre for Ecology & Hydrology

Professional summary

Research Interests

1. Artificial Intelligence and Machine Learning (Deep Learning)

2. Geospatial Data Mining and Modelling (Geospatial Data Science)

3. Landscape Pattern Analysis (Vector-based and Raster-based GIS)

4. Remotely Sensed Image Analysis and their Applications

Brief CV

I am a Lecturer in Geospatial Data Science based in Centre of Excellence in Environmental Data Science (CEEDS; http://ceeds.ac.uk/), joint venture between Lancaster University and UK Centre for Ecology & Hydrology. I have strong expertise in Artificial Intelligence, Machine Learning and Deep Learning, and the application of these techniques in geospatial data science and remote sensing. My research is, therefore, highly innovative and transdisciplinary, driven by the ambition to tackle the most pressing environmental challenges of our time.

Publications

Chen Chunpeng; Tian Bo; Wu Wenting; Duan Yuanqiang; Zhou Yunxuan; Zhang Ce; , 2023, UAV photogrammetry in intertidal mudflats: accuracy, efficiency, and potential for integration with satellite imagery. Remote Sensing, 15
Wang Zhige; Hu Bifeng; Zhang Ce; Atkinson Peter M.; Wang Zifa; Xu Kang; Chang Jinfeng; Fang Xuekun; Jiang Yefeng; Shi Zhou; , 2022, How the Air Clean Plan and carbon mitigation measures co-benefited China in PM2.5 reduction and health from 2014 to 2020. Environment International, 169
Wang Ziming; Zhang Ce; Atkinson Peter M.; , 2022, Combining SAR images with land cover products for rapid urban flood mapping. Frontiers in Environmental Science, 10
Guo Rui; Zhu Xiufang; Zhang Ce; Cheng Changxiu; , 2022, Analysis of change in maize plantation distribution and its driving factors in Heilongjiang Province, China. Remote Sensing, 14
Gu Xiaowei; Zhang Ce; Shen Qiang; Han Jungong; Angelov Plamen P.; Atkinson Peter M.; , 2022, A self-training hierarchical prototype-based ensemble framework for remote sensing scene classification. Information Fusion, 80, 179-204
Li Rui; Wang Libo; Zhang Ce; Duan Chenxi; Zheng Shunyi; , 2022, A2-FPN for semantic segmentation of fine-resolution remotely sensed images. International Journal of Remote Sensing, 43, 1131-1155
John David; Zhang Ce; , 2022, An attention-based U-Net for detecting deforestation within satellite sensor imagery. International Journal of Applied Earth Observation and Geoinformation, 107
Corr Diarmuid; Leeson Amber; McMillan Malcolm; Zhang Ce; Barnes Thomas; , 2022, An inventory of supraglacial lakes and channels across the West Antarctic Ice Sheet. Earth System Science Data, 14, 209-228
Li Rui; Zheng Shunyi; Duan Chenxi; Wang Libo; Zhang Ce; , 2022, Land cover classification from remote sensing images based on multi-scale fully convolutional network. Geo-spatial Information Science
Zhang Zhaonian; Jiang Richard; Zhang Ce; Williams Bryan; Jiang Ziping; Li Chang-Tsun; Chazot Paul; Pavese Nicola; Bouridane Ahmed; Beghdadi Azeddine; , 2022, Robust brain age estimation based on sMRI via nonlinear age-adaptive ensemble learning. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 30, 2146-2156
Wang Libo; Li Rui; Duan Chenxi; Zhang Ce; Meng Xiaoliang; Fang Shenghui; , 2022, A novel transformer based semantic segmentation scheme for fine-resolution remote sensing images. IEEE Geoscience and Remote Sensing Letters, 19
Li Rui; Zheng Shunyi; Zhang Ce; Duan Chenxi; Su Jianlin; Wang Libo; Atkinson Peter M.; , 2022, Multiattention network for semantic segmentation of fine-resolution remote sensing images. IEEE Transactions on Geoscience and Remote Sensing, 60
Li Rui; Zheng Shunyi; Duan Chenxi; Su Jianlin; Zhang Ce; , 2022, Multi-stage attention ResU-Net for semantic segmentation of fine-resolution remote sensing images. IEEE Geoscience and Remote Sensing Letters, 19
Li Rui; Duan Chenxi; Zheng Shunyi; Zhang Ce; Atkinson Peter M.; , 2022, MACU-Net for semantic segmentation of fine-resolution remotely sensed images. IEEE Geoscience and Remote Sensing Letters, 19
Li Erzhu; Samat Alim; Zhang Ce; Du Peijun; Liu Wei; , 2022, First and second-order information fusion networks for remote sensing scene classification. IEEE Geoscience and Remote Sensing Letters, 19
Diao Qi; Dai Yaping; Zhang Ce; Wu Yan; Feng Xiaoxue; Pan Feng; , 2022, Superpixel-based attention graph neural network for semantic segmentation in aerial images. Remote Sensing, 14
Wang Libo; Zhang Ce; Li Rui; Duan Chenxi; Meng Xiaoliang; Atkinson Peter M.; , 2021, Scale-aware neural network for semantic segmentation of multi-resolution remote sensing images. Remote Sensing, 13
Pan Xin; Zhang Ce; Xu Jun; Zhao Jian; , 2021, Simplified object-based deep neural network for very high resolution remote sensing image classification. ISPRS Journal of Photogrammetry and Remote Sensing, 181, 218-237
Li Rui; Zheng Shunyi; Zhang Ce; Duan Chenxi; Wang Libo; Atkinson Peter M.; , 2021, ABCNet: attentive bilateral contextual network for efficient semantic segmentation of fine-resolution remotely sensed imagery. ISPRS Journal of Photogrammetry and Remote Sensing, 181, 84-98
An Ru; Zhang Ce; Sun Mengqiu; Wang Huilin; Shen Xiaoji; Wang Benlin; Xing Fei; Huang Xianglin; Fan Mengyao; , 2021, Monitoring grassland degradation and restoration using a novel climate use efficiency (NCUE) index in the Tibetan Plateau, China. Ecological Indicators, 131

Professional summary

Research Interests

Brief CV

Publications

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