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Zilong Zhong
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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
13352018
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
3682020
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
2702020
Fully convolutional networks for building and road extraction: Preliminary results
Z Zhong, J Li, W Cui, H Jiang
IGARSS2016, 1591-1594, 2016
1792016
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
1522021
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
1332020
Deep Residual Networks for Hyperspectral Image Classification
Z Zhong, J Li, L Ma, H Jiang, H Zhao
IGARSS2017, 1824-1827, 2017
1202017
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
1032020
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
472019
Generative Adversarial Networks and Probabilistic Graph Models for Hyperspectral Image Classification
Z Zhong, J Li
AAAI2018, 2018
122018
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
42023
Hyperspectral image classification using deep convolutional neural networks
Z Zhong, J Li
Journal of Computational Vision and Imaging Systems 3 (1), 2017
22017
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
12023
Spectral-spatial neural networks and probabilistic graph models for hyperspectral image classification
Z Zhong
University of Waterloo, 2019
12019
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
12016
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
2024
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
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Artikelen 1–20