Zhou, W., Persello, C., Ming, D., Wang, S., & Stein, A. (2026). A transformer based multi-task deep learning model for urban livability evaluation by fusing remote sensing and textual geospatial data. Remote Sensing of Environment, 334, 115232.
Ying Y., Dai S., Koeva M., Kuffer M., Persello C., Zhou W., Zevenbergen J. Toward 3D hedonic price model for vertically developed cities using street view images and machine learning methods. Habitat International 156 (2025): 103288.
Zhou W, Persello C, Stein A. Building hierarchical use classification based on multiple data sources with a multi-label multimodal transformer network, EGU General Assembly 2024, Vienna, Austria, 14-19 Apr 2024, EGU24-12472.
Zhou W, Persello C, Stein A. Hierarchical building use classification from multiple modalities with a multi-label multimodal transformer network[J]. International Journal of Applied Earth Observation and Geoinformation, 2024, 132: 104038.
Li M, Zhang C, Zhao W, Zhou W. Cross-Domain Urban Land Use Classification Via Scene-Wise Unsupervised Multi-Source Domain Adaptation With Transformer. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2024.
Zhou W, Persello C, Li M, Stein A. Building use and mixed-use classification with a transformer-based network fusing satellite images and geospatial textual information. Remote Sensing of Environment, 2023, 297: 113767.
Zhao, W., Li, M., Wu, C., Zhou, W., & Chu, G. Identifying Urban Functional Regions from High-Resolution Satellite Images Using a Context-Aware Segmentation Network. Remote Sensing, 14(16), 3996.
Lv, X., Shao, Z., Huang, X., Zhou, W., Ming, D., Wang, J., & Tong, C. BTS: a binary tree sampling strategy for object identification based on deep learning. International journal of geographical information science, 36(4), 822-848.
Zhou W, Ming D, Lv X, et al. SO–CNN based urban functional zone fine division with VHR remote sensing image[J]. Remote Sensing of Environment, 2020, 236: 111458.
Xu L, Ming D, Zhou W, Hanqing Bao, Yangyang Chen, Xiao Ling. Farmland Extraction from High Spatial Resolution Remote Sensing Images Based on Stratified Scale Pre-Estimation. Remote Sensing. 2019, 11(2), 108.
Ming D, Qiu Y, Zhou W. Applying Spatial Statistics to Evaluate the Accuracy of Remote Sensing Image Classification. Journal of Geomatics. 2019, 44(1): 1-5. (IF: 1.64)
Ming D, Zhou W, Xu L, et al. Coupling relationship among scale parameter, segmentation accuracy, and classification accuracy in GeOBIA[J]. Photogrammetric Engineering & Remote Sensing, 2018, 84(11): 681-693. (IF: 1.47)
Zhou W, Ming D P, Yan P F. Cultivated land extraction based on image region division and scale estimation. Journal of Geo-information Science, 2018, 20(7):1014-1025.
Zhou W, Ming D, Xu L, Bao H, Wang M. Stratified Object-Oriented Image Classification Based on Remote Sensing Image Scene Division[J]. Journal of Spectroscopy, 2018(1):1-11. (IF: 1.81)
Ming D, Qiu Y, Zhou W. Applying Spatial Statistics into Remote Sensing Pattern Recognition: with Case Study of Cropland Extraction Based on GeOBIA. Acta Geodaetica Et Cartographica Sinica, 2016, 45(7):825-833.
Ming D P, Zhou W, Wang M. Scale parameter estimation based on the spatial and spectral statistics in high spatial resolution image segmentation. Journal of Geo-information Science, 2016, 18(5):622-631.
Conference Presentation at USGS 2025 CEGIS Annual Research Meeting, Virtual
Virtual Consulting Office at I-GUIDE Virtual Consulting Office (VCO), Virtual
Conference Presentation at AAG 2025 Symposium on Spatial AI & Data Science for Sustainability: Deep Learning Approaches for Multi-Source Data Processing and Analysis, 356, Level 3, Huntington Place, Detroit, US
Conference Presentation at EGU General Assembly 2024, Vienna, Austria
Conference Presentation at Joint Urban Remote Sensing Event (JURSE), IEEE Conference, Heraklion, Crete, Greece