Browsing by author "Liao, Wenzhi"
Now showing items 1-20 of 53
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A comparison on multiple level features for fusion hyperspectral and LiDAR data
Liao, Wenzhi; Pizurica, Aleksandra; Luo, Renbo; Philips, Wilfried (2017) -
A new kernel method for hyperspectral image feature extraction
Zhao, Bin; Gao, Lianru; Liao, Wenzhi; Zhang, Bing (2017) -
Advances in hyperspectral image and signal processing : a comprehensive overview of the state of the art
Ghamisi, Pedram; Yokoya, Naoto; Li, Jun; Liao, Wenzhi; Liu, Sicong; Plaza, Javier; Rasti, Behnood; Plaza, Antonio (2017) -
An entropy and MRF model-based CNN for large-scale Landsat image classification
Zhao, Xuemei; Gao, Lianru; Chen, Zhengchao; Zhang, Bing; Liao, Wenzhi; Yang, Xuan (2019) -
An occlusion-robust feature selection framework in pedestrian detection
Guo, Zhixin; Liao, Wenzhi; Xiao, Yifan; Veelaert, Peter; Philips, Wilfried (2018) -
Banana disease detection by fusion of close range hyperspectral image and high-resolution RGB image
Liao, Wenzhi; Ochoa, Daniel; Zhao, Yongqiang; Rugel, Gladys; Philips, Wilfried (2018) -
Centralized collaborative sparse unmixing for hyperspectral images
Wang, Rui; Li, Hengchao; Liao, Wenzhi; Huang, Xin; Philips, Wilfried (2017) -
Cloud implementation of PCA and total variation for hyperspectral image restoration based on spark
Yin, Xianlang; Wu, Zebin; Liao, Wenzhi; Wei, Zhihui; Tan, Chao (2017) -
Coupled Convolutional Neural Network With Adaptive Response Function Learning for Unsupervised Hyperspectral Super Resolution
Zheng, Ke; Gao, Lianru; Hong, Danfeng; Zhang, Bin; Cui, Ximin; Chanussot, Jocelyn; Liao, Wenzhi (2021) -
Decision fusion framework for hyperspectral image classification based on Markov and conditional random felds
Andrejchenko, Vera; Liao, Wenzhi; Philips, Wilfried; Scheunders, Paul (2019) -
Deep learning for fusion of APEX hyperspectral and full-waveform LiDAR remote sensing data for tree species mapping
Liao, Wenzhi; Vancoillie, Frieke; Gao, Lianru; Li, Liwei; Zhang, Bing; Chanussot, Jocelyn (2018) -
Deep learning fusion of RGB and depth images for pedestrian detection
Guo, Zhixin; Liao, Wenzhi; Ybanez, Nat; Veelaert, Peter; Philips, Wilfried (2019) -
Detecting road intersections from GPS traces using longest common subsequence algorithm
Xingzhe, Xie; Liao, Wenzhi; Aghajan, Hamid; Veelaert, Peter; Philips, Wilfried (2017-01) -
Detection of leaf structures in close-range hyperspectral images using morphological fusion
Villegas Rugel, Gladys Maria; Liao, Wenzhi; Criollo, Ronald; Philips, Wilfried; Ochoa, Daniel (2017) -
Enhanced sparsity prior model for low-rank tensor completion
Xue, J.; Zhao, J.; Liao, Wenzhi; Chan, J. C.; Kong, S. G. (2020) -
FLOPs-efficient filter pruning via transfer scale for neural network acceleration
Guo, Zhixin; Xiao, Yifan; Liao, Wenzhi; Veelaert, Peter; Philips, Wilfried (2021) -
Foreword to the special Issue on Hyperspectral remote sensing and imaging spectroscopy
Prasad, Saurabh; Liao, Wenzhi; He, Mingyi; Chanussot, Jocelyn (2018) -
Fractional Gabor Convolutional Network for Multisource Remote Sensing Data Classification
Zhao, Xudong; Tao, Rao; Li, Wei; Philips, Wilfried; Liao, Wenzhi (2022) -
Fusion of hyperspectral and LiDAR data for classification of cloud-shadow mixed remote sensed scene
Luo, Renbo; Liao, Wenzhi; Zhang, Hongyan; Zhang, Liangpei; Pi, Youguo; Philips, Wilfried (2017)