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publications

Scale parameter estimation based on the spatial and spectral statistics in high spatial resolution image segmentation

Published in Journal of Geo-information Science, 2016

Recommended citation: 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.

Applying Spatial Statistics into Remote Sensing Pattern Recognition: with Case Study of Cropland Extraction Based on GeOBIA

Published in Acta Geodaetica Et Cartographica Sinica, 2016

Recommended citation: 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.

Stratified Object-Oriented Image Classification Based on Remote Sensing Image Scene Division

Published in Journal of Spectroscopy, 2018

Recommended citation: 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)
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Cultivated land extraction based on image region division and scale estimation

Published in Journal of Geo-information Science, 2018

Recommended citation: 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.

Coupling relationship among scale parameter, segmentation accuracy, and classification accuracy in GeOBIA

Published in Photogrammetric Engineering & Remote Sensing, 2018

Recommended citation: 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)

Applying Spatial Statistics to Evaluate the Accuracy of Remote Sensing Image Classification

Published in Journal of Geomatics, 2019

Recommended citation: 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)

Farmland Extraction from High Spatial Resolution Remote Sensing Images Based on Stratified Scale Pre-Estimation

Published in Remote Sensing, 2019

Recommended citation: 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.

Urban functional zone fine division with VHR remote sensing image based on SO-CNN

Published in Remote Sensing, 2019

Recommended citation: Ming D, Zhou W, Xu L, et al. Urban functional zone fine division with VHR remote sensing image based on SO-CNN. Remote Sensing. 2019, 11(12), 1460. (IF: 5.7)

SO–CNN based urban functional zone fine division with VHR remote sensing image

Published in Remote Sensing of Environment, 2020

Recommended citation: 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.
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BTS: a binary tree sampling strategy for object identification based on deep learning

Published in International journal of geographical information science, 2022

Recommended citation: 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.

Identifying Urban Functional Regions from High-Resolution Satellite Images Using a Context-Aware Segmentation Network

Published in Remote Sensing, 2022

Recommended citation: 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.

Building use and mixed-use classification with a transformer-based network fusing satellite images and geospatial textual information

Published in Remote Sensing of Environment, 2023

Recommended citation: 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.

Cross-Domain Urban Land Use Classification Via Scene-Wise Unsupervised Multi-Source Domain Adaptation With Transformer

Published in IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2024

Recommended citation: 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.

Hierarchical building use classification from multiple modalities with a multi-label multimodal transformer network

Published in International Journal of Applied Earth Observation and Geoinformation, 2024

Recommended citation: 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.
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Building hierarchical use classification based on multiple data sources with a multi-label multimodal transformer network

Published in EGU General Assembly 2024, 2024

Recommended citation: 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.

Toward 3D hedonic price model for vertically developed cities using street view images and machine learning methods

Published in Habitat International, 2025

Recommended citation: 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.

Urban livability evaluation based on multimodal deep learning fusing multiple remote sensing images and geospatial textual data

Published in Remote Sensing of Environment, 2025

Recommended citation: Zhou W, et al. Urban livability evaluation based on multimodal deep learning fusing multiple remote sensing images and geospatial textual data[J]. Remote Sensing of Environment. (Major review)