Browsing by author "Gao, Lianru"
Now showing items 1-9 of 9
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A new kernel method for hyperspectral image feature extraction
Zhao, Bin; Gao, Lianru; Liao, Wenzhi; Zhang, Bing (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) -
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) -
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) -
Fusion of multi-scale hyperspectral and LIDAR features for tree species mapping
Liao, Wenzhi; Vancoillie, Frieke; Li, Liwei; Zhao, Bin; Gao, Lianru; Philips, Wilfried; Zhang, Bing (2017) -
Global spatial and local spectral similarity-based group sparse representation for hyperspectral imagery classification
Yu, Haoyang; Gao, Lianru; Liao, Wenzhi; Gamba, Paolo; Zhang, Bing (2018) -
Multiscale superpixel-level subspace-based support vector machines for hyperspectral image classification
Yu, Haoyang; Gao, Lianru; Liao, Wenzhi; Zhang, Bing; Pizurica, Aleksandra; Philips, Wilfried (2017) -
Optimized kernel minimum noise fraction transformation for hyperspectral image classification
Gao, Lianru; Zhao, Bin; Jia, Xiuping; Liao, Wenzhi; Zhang, Bing (2017) -
Potential analysis of feature extraction based quick response for environmental change with social media photos
Wu, Yuanfeng; Gao, Lianru; Liao, Wenzhi; Gamba, Paolo; Zhang, Bing (2018)