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publications
High-resolution PolSAR classification model based on the fully convolutional neural network and polarimetric parameters
Published in IET Conference Proceedings CP779, 2020
Yu, T., Wu, W., Li, H. and Li, X., 2020, November. High-resolution PolSAR classification model based on the fully convolutional neural network and polarimetric parameters. In IET Conference Proceedings CP779 (Vol. 2020, No. 9, pp. 6-10). Stevenage, UK: The Institution of Engineering and Technology.
Residual multi-attention classification network for a forest dominated tropical landscape using high-resolution remote sensing imagery
Published in ISPRS International Journal of Geo-Information, 2021
Yu, T. , Wu, W., Gong, C. and Li, X., 2021. Residual multi-attention classification network for a forest dominated tropical landscape using high-resolution remote sensing imagery. ISPRS International Journal of Geo-Information, 10(1), p.22.
Building footprint extraction model based on deep supervision and post-processing technology
Published in 2022 3rd International Conference on Geology, Mapping and Remote Sensing (ICGMRS), 2022
Yu, T., Wan, H., Tang, P. and Sheng, L., 2022, April. Building footprint extraction model based on deep supervision and post-processing technology. In 2022 3rd International Conference on Geology, Mapping and Remote Sensing (ICGMRS) (pp. 209-212). IEEE.
ConvBNet: A Convolutional Network for Building Footprint Extraction
Published in IEEE Geoscience and Remote Sensing Letters, 2023
Yu, T., Tang, P., Zhao, B., Bai, S., Gou, P., Liao, J. and Jin, C., 2023. ConvBNet: A convolutional network for building footprint extraction. IEEE Geoscience and Remote Sensing Letters, 20, pp.1-5.
Potato leaf area index estimation using multi-sensor unmanned aerial vehicle (UAV) imagery and machine learning
Published in Remote Sensing, 2023
Yu, T., Zhou, J., Fan, J., Wang, Y. and Zhang, Z., 2023. Potato leaf area index estimation using multi-sensor unmanned aerial vehicle (UAV) imagery and machine learning. Remote Sensing, 15(16), p.4108.
Multispectral UAV-based monitoring of Cassytha filiformis invasion in Xisha Islands
Published in IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023
Xie, Y., Wu, W., Li, X., Shi, J., Yu, T.and Sun, X., 2023. Multispectral UAV-based monitoring of Cassytha filiformis invasion in Xisha Islands. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 17, pp.829-841.
Optimal integration of optical and SAR data for improving alfalfa yield and quality traits prediction: new insights into satellite-based forage crop monitoring
Published in Remote Sensing, 2024
Chen, J., Yu, T., Cherney, J.H. and Zhang, Z., 2024. Optimal integration of optical and SAR data for improving alfalfa yield and quality traits prediction: new insights into satellite-based forage crop monitoring. Remote Sensing, 16(5), p.734.
Evaluation of the Effect of Sentinel-1 SAR and Environmental Factors in Alfalfa Yield and Quality Estimation
Published in Agronomy, 2024
Yu, T., Zhou, J., Ranjbar, S., Chen, J., Digman, M.F. and Zhang, Z., 2024. Evaluation of the effect of Sentinel-1 SAR and Environmental Factors in Alfalfa yield and quality estimation. Agronomy, 14(4), p.859.
Developing a spatiotemporal fusion framework for generating daily UAV images in agricultural areas using publicly available satellite data
Published in ISPRS Journal of Photogrammetry and Remote Sensing, 2025
Ebrahimy, H., Yu, T. and Zhang, Z., 2025. Developing a spatiotemporal fusion framework for generating daily UAV images in agricultural areas using publicly available satellite data. ISPRS Journal of Photogrammetry and Remote Sensing, 220, pp.413-427.
Pre-harvest estimation and contribution analysis of alfalfa quality traits using multi-type features and machine learning
Published in International Journal of Remote Sensing, 2025
Yu, T., Xu, Y., Zhou, J. and Zhang, Z., 2025. Pre-harvest estimation and contribution analysis of alfalfa quality traits using multi-type features and machine learning. International Journal of Remote Sensing, 46(13), pp.4832-4863.
Mitigating NDVI saturation in imagery of dense and healthy vegetation
Published in ISPRS Journal of Photogrammetry and Remote Sensing, 2025
Tian, Z., Fan, J., Yu, T., de Leon, N., Kaeppler, S.M. and Zhang, Z., 2025. Mitigating NDVI saturation in imagery of dense and healthy vegetation. ISPRS Journal of Photogrammetry and Remote Sensing, 227, pp.234-250.
Hyperspectral reconstruction based on low-cost UAV RGB imagery for alfalfa yield prediction
Published in Biosystems Engineering, 2026
Qiao, L., Fan, J., Franco, J.G., Duff, A.J., Diaz-Vallejo, E.J., Yu, T. and Zhang, Z., 2026. Hyperspectral reconstruction based on low-cost UAV RGB imagery for alfalfa yield prediction. Biosystems Engineering, 261, p.104328.
AMGAN: A multimodal generative adversarial network for near-daily alfalfa multispectral image reconstruction
Published in Computers and Electronics in Agriculture, 2026
Yu, T., Chen, J., Cherney, J.H. and Zhang, Z., 2026. AMGAN: A multimodal generative adversarial network for near-daily alfalfa multispectral image reconstruction. Computers and Electronics in Agriculture, 244, p.111468.
Robust hyperspectral reconstruction from satellite and airborne observations via a deep hierarchical fusion network across heterogeneous scenarios
Published in Remote Sensing of Environment, 2026
Ji, F., Yang, J., Townsend, P.A., Zheng, T., Kovach, K.R., Yu, T., Yang, R., Liu, M. and Chen, M., 2026. Robust hyperspectral reconstruction from satellite and airborne observations via a deep hierarchical fusion network across heterogeneous scenarios. Remote Sensing of Environment, 338, p.115385.
talks
Talk 1 on Relevant Topic in Your Field
Published:
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Conference Proceeding talk 3 on Relevant Topic in Your Field
Published:
This is a description of your conference proceedings talk, note the different field in type. You can put anything in this field.
teaching
BSE 301
Undergraduate course, University of Wisconsin–Madison, Biological Systems Engineering, 2024
Delivered lectures on UAV remote sensing and introductory GIS, supervised hands-on laboratory and field experiments, and oversaw student assessment and grading.