Yetao Yang - researchr alias

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Viewing Publication 1 - 8 from 8

2023

A surface graph based deep learning framework for large-scale urban mesh semantic segmentationYetao Yang, Rongkui Tang, Mengjiao Xia, Chen Zhang. aeog, 119:103322, May 2023. [doi]

A Texture Integrated Deep Neural Network for Semantic Segmentation of Urban MeshesYetao Yang, Rongkui Tang, Mengjiao Xia, Chen Zhang. staeors, 16:4670-4684, 2023. [doi]

2021

A hierarchical deep neural network with iterative features for semantic labeling of airborne LiDAR point cloudsYetao Yang, Rongkui Tang, Jinglei Wang, Mengjiao Xia. gandc, 157:104932, 2021. [doi]

2019

Two-Layered Graph-Cuts-Based Classification of LiDAR Data in Urban AreasYetao Yang, Ke Wu, Yi Wang, Tao Chen, Xiang Wang. sensors, 19(21):4685, 2019. [doi]

2017

Spectral-spatial adaptive and well-balanced flow-based anisotropic diffusion for multispectral image denoisingYi Wang, Yetao Yang, Tao Chen. jvcir, 43:185-197, 2017. [doi]

Supervised Sub-Pixel Mapping for Change Detection from Remotely Sensed Images with Different ResolutionsKe Wu, Qian Du, Yi Wang, Yetao Yang. remotesensing, 9(3):284, 2017. [doi]

2016

Classification of Complex Urban Fringe Land Cover Using Evidential Reasoning Based on Fuzzy Rough Set: A Case Study of Wuhan CityYetao Yang, Yi Wang, Ke Wu, Xin Yu. remotesensing, 8(4):304, 2016. [doi]

2015

Gradient and Laplacian-Based Hyperspectral Anisotropic DiffusionYi Wang 0021, Ke Wu, Yetao Yang, Tao Chen. staeors, 8(6):3235-3249, 2015. [doi]

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