フォロー
Jonathan Cheung-Wai Chan
Jonathan Cheung-Wai Chan
Vrije Universiteit Brussel
確認したメール アドレス: vub.be - ホームページ
タイトル
引用先
引用先
Evaluation of Random Forest and Adaboost tree-based ensemble classification and spectral band selection for ecotope mapping using airborne hyperspectral imagery
JCW Chan, D Paelinckx
Remote Sensing of Environment 112 (6), 2999-3011, 2008
10262008
Random forest regression for online capacity estimation of lithium-ion batteries
Y Li, C Zou, M Berecibar, E Nanini-Maury, JCW Chan, ...
Applied energy 232, 197-210, 2018
5612018
Learning and transferring deep joint spectral–spatial features for hyperspectral classification
J Yang, YQ Zhao, JCW Chan
IEEE Transactions on Geoscience and Remote Sensing 55 (8), 4729-4742, 2017
4282017
Multiple criteria for evaluating machine learning algorithms for land cover classification from satellite data
RS DeFries, JCW Chan
Remote sensing of environment 74 (3), 503-515, 2000
3642000
Detecting the nature of change in an urban environment: A comparison of machine learning algorithms
JCW Chan, KP Chan, AGO Yeh
Photogrammetric Engineering and Remote Sensing 67 (2), 213-226, 2001
2502001
Hyperspectral and multispectral image fusion via deep two-branches convolutional neural network
J Yang, YQ Zhao, JCW Chan
Remote Sensing 10 (5), 800, 2018
1932018
Nonlocal low-rank regularized tensor decomposition for hyperspectral image denoising
J Xue, Y Zhao, W Liao, JCW Chan
IEEE Transactions on Geoscience and Remote Sensing 57 (7), 5174-5189, 2019
1912019
Hyperspectral images classification based on dense convolutional networks with spectral-wise attention mechanism
B Fang, Y Li, H Zhang, JCW Chan
Remote Sensing 11 (2), 159, 2019
1812019
Spatial-spectral structured sparse low-rank representation for hyperspectral image super-resolution
J Xue, YQ Zhao, Y Bu, W Liao, JCW Chan, W Philips
IEEE Transactions on Image Processing 30, 3084-3097, 2021
1582021
Hyperspectral image classification using two-channel deep convolutional neural network
J Yang, Y Zhao, JCW Chan, C Yi
2016 IEEE international geoscience and remote sensing symposium (IGARSS …, 2016
1522016
Potential of resolution-enhanced hyperspectral data for mineral mapping using simulated EnMAP and Sentinel-2 images
N Yokoya, JCW Chan, K Segl
Remote Sensing 8 (3), 172, 2016
1482016
Multilayer sparsity-based tensor decomposition for low-rank tensor completion
J Xue, Y Zhao, S Huang, W Liao, JCW Chan, SG Kong
IEEE Transactions on Neural Networks and Learning Systems 33 (11), 6916-6930, 2021
1462021
Improved classification of VHR images of urban areas using directional morphological profiles
R Bellens, S Gautama, L Martinez-Fonte, W Philips, JCW Chan, F Canters
IEEE Transactions on Geoscience and Remote Sensing 46 (10), 2803-2813, 2008
1412008
Fully automatic subpixel image registration of multiangle CHRIS/Proba data
J Ma, JCW Chan, F Canters
IEEE transactions on geoscience and remote sensing 48 (7), 2829-2839, 2010
1252010
Automatic depression recognition using CNN with attention mechanism from videos
L He, JCW Chan, Z Wang
Neurocomputing 422, 165-175, 2021
1232021
An iterative image dehazing method with polarization
L Shen, Y Zhao, Q Peng, JCW Chan, SG Kong
IEEE Transactions on Multimedia 21 (5), 1093-1107, 2018
1062018
Coupled sparse denoising and unmixing with low-rank constraint for hyperspectral image
J Yang, YQ Zhao, JCW Chan, SG Kong
IEEE Transactions on Geoscience and Remote Sensing 54 (3), 1818-1833, 2015
1012015
Collaborative learning of lightweight convolutional neural network and deep clustering for hyperspectral image semi-supervised classification with limited training samples
B Fang, Y Li, H Zhang, JCW Chan
ISPRS Journal of Photogrammetry and Remote Sensing 161, 164-178, 2020
1002020
Enhanced algorithm performance for land cover classification from remotely sensed data using bagging and boosting
JCW Chan, C Huang, R Defries
IEEE Transactions on Geoscience and Remote Sensing 39 (3), 693-695, 2001
992001
No-reference hyperspectral image quality assessment via quality-sensitive features learning
J Yang, YQ Zhao, C Yi, JCW Chan
Remote Sensing 9 (4), 305, 2017
922017
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