Spectral-spatial residual networks for hyperspectral image classification: a 3-D deep learning framework Z Zhong, J Li, Z Luo, M Chapman IEEE Transactions on Geoscience and Remote Sensing 56 (2), 847-858, 2018 | 1433 | 2018 |
Deep learning for lidar point clouds in autonomous driving: A review Y Li, L Ma, Z Zhong, F Liu, MA Chapman, D Cao, J Li IEEE Transactions on Neural Networks and Learning Systems 32 (8), 3412-3432, 2020 | 405 | 2020 |
Squeeze-and-Attention Networks for Semantic Segmentation Z Zhong, ZQ Lin, R Bidart, X Hu, IB Daya, L Zhifeng, Z Wei-Shi, J Li, ... CVPR2020, 2020 | 289 | 2020 |
Fully convolutional networks for building and road extraction: Preliminary results Z Zhong, J Li, W Cui, H Jiang IGARSS2016, 1591-1594, 2016 | 190 | 2016 |
Spectral-Spatial Transformer Network for Hyperspectral Image Classification: A Factorized Architecture Search Framework Z Zhong, Y Li, L Ma, J Li, WS Zheng IEEE Transactions on Geoscience and Remote Sensing, 1-15, 2021 | 175 | 2021 |
Generative adversarial networks and conditional random fields for hyperspectral image classification Z Zhong, J Li, D Clausi, A Wong IEEE Transactions on Cybernetics 50 (7), 3318 - 3329, 2020 | 137 | 2020 |
Deep Residual Networks for Hyperspectral Image Classification Z Zhong, J Li, L Ma, H Jiang, H Zhao IGARSS2017, 1824-1827, 2017 | 130 | 2017 |
TGNet: Geometric Graph CNN on 3D Point Cloud Segmentation Y Li, L Ma, Z Zhong, D Cao, J Li IEEE Transactions on Geoscience and Remote Sensing, 2020 | 112 | 2020 |
Generation of horizontally curved driving lines in HD maps using mobile laser scanning point clouds L Ma, Y Li, J Li, Z Zhong, M Chapman IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2019 | 48 | 2019 |
Generative Adversarial Networks and Probabilistic Graph Models for Hyperspectral Image Classification Z Zhong, J Li AAAI2018, 2018 | 12 | 2018 |
Super resolution of historic Landsat imagery using a dual generative adversarial network (GAN) model with CubeSat constellation imagery for spatially enhanced long-term … J Kong, Y Ryu, S Jeong, Z Zhong, W Choi, J Kim, K Lee, J Lim, K Jang, ... ISPRS Journal of Photogrammetry and Remote Sensing 200, 1-23, 2023 | 6 | 2023 |
Improving retrieval of leaf chlorophyll content from Sentinel-2 and Landsat-7/8 imagery by correcting for canopy structural effects L Wan, Y Ryu, B Dechant, J Lee, Z Zhong, H Feng Remote Sensing of Environment 304, 114048, 2024 | 3 | 2024 |
Merging multiple sensing platforms and deep learning empowers individual tree mapping and species detection at the city scale R Kwon, Y Ryu, T Yang, Z Zhong, J Im ISPRS Journal of Photogrammetry and Remote Sensing 206, 201-221, 2023 | 3 | 2023 |
Hyperspectral image classification using deep convolutional neural networks Z Zhong, J Li Journal of Computational Vision and Imaging Systems 3 (1), 2017 | 2 | 2017 |
Spectral-spatial neural networks and probabilistic graph models for hyperspectral image classification Z Zhong University of Waterloo, 2019 | 1 | 2019 |
Determining the effect of spatial resolution in land use classification using optical aerial imagery H Jiang, A Smith, Z Zhong, J Li IGARSS2016, 2272-2275, 2016 | 1 | 2016 |
In-Season Wall-to-Wall Crop-Type Mapping Using Ensemble of Image Segmentation Models SA Zaheer, Y Ryu, J Lee, Z Zhong, K Lee IEEE Transactions on Geoscience and Remote Sensing 61, 1-11, 2023 | | 2023 |
Merging Multiple Sensing Platforms and Deep Learning empowers Individual Tree Mapping and Tree Species Detection at a City-scale R Kwon, Y Ryu, T Yang, Z Zhong, J Im AGU Fall Meeting Abstracts 2022, IN12B-0264, 2022 | | 2022 |
Super Resolution of Historic Landsat Imagery Using a GAN model with CubeSat Constellation Imagery J Kong, Y Ryu, S Jeong, Z Zhong, W Choi, J Kim, R Houborg AGU Fall Meeting Abstracts 2022, B45I-1823, 2022 | | 2022 |
Transformer Networks for Cloud and Cloud Shadow detection in Landsat-8 and Sentinel-2 Imagery Z Zhong, Y Ryu, J Kong, J Lee, Y Yan, R Kwon, T Yang, H Feng AGU Fall Meeting Abstracts 2022, B41F-01, 2022 | | 2022 |