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ORCIDYetao Yang
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2020 – today
- 2023
[j8]Yetao Yang, Rongkui Tang, Mengjiao Xia, Chen Zhang:
A surface graph based deep learning framework for large-scale urban mesh semantic segmentation. Int. J. Appl. Earth Obs. Geoinformation 119: 103322 (2023)- [j7]Yetao Yang
, Rongkui Tang, Mengjiao Xia, Chen Zhang:
A Texture Integrated Deep Neural Network for Semantic Segmentation of Urban Meshes. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 16: 4670-4684 (2023) - 2021
- [j6]Yetao Yang, Rongkui Tang, Jinglei Wang, Mengjiao Xia:
A hierarchical deep neural network with iterative features for semantic labeling of airborne LiDAR point clouds. Comput. Geosci. 157: 104932 (2021)
2010 – 2019
- 2019
- [j5]Yetao Yang, Ke Wu, Yi Wang, Tao Chen, Xiang Wang:
Two-Layered Graph-Cuts-Based Classification of LiDAR Data in Urban Areas. Sensors 19(21): 4685 (2019) - 2017
- [j4]Yi Wang, Yetao Yang, Tao Chen:
Spectral-spatial adaptive and well-balanced flow-based anisotropic diffusion for multispectral image denoising. J. Vis. Commun. Image Represent. 43: 185-197 (2017) - [j3]Ke Wu, Qian Du, Yi Wang, Yetao Yang:
Supervised Sub-Pixel Mapping for Change Detection from Remotely Sensed Images with Different Resolutions. Remote. Sens. 9(3): 284 (2017) - 2016
- [j2]Yetao Yang, Yi Wang, Ke Wu, Xin Yu:
Classification of Complex Urban Fringe Land Cover Using Evidential Reasoning Based on Fuzzy Rough Set: A Case Study of Wuhan City. Remote. Sens. 8(4): 304 (2016) - 2015
- [j1]Yi Wang, Ke Wu, Yetao Yang, Tao Chen:
Gradient and Laplacian-Based Hyperspectral Anisotropic Diffusion. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 8(6): 3235-3249 (2015)
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