Browsing by author "Chanussot, Jocelyn"
Now showing items 1-8 of 8
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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 BLIND UNMIXING USING MINIMUM SIMPLEX CONVOLUTIONAL NETWORK
Rasti, Behnood; Koirala, Bikram; Scheunders, Paul; Chanussot, Jocelyn (2022) -
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) -
Foreword to the special Issue on Hyperspectral remote sensing and imaging spectroscopy
Prasad, Saurabh; Liao, Wenzhi; He, Mingyi; Chanussot, Jocelyn (2018) -
MiSiCNet: Minimum Simplex Convolutional Network for Deep Hyperspectral Unmixing
Rasti, Behnood; Koirala, Bikram; Scheunders, Paul; Chanussot, Jocelyn (2022) -
Noise reduction in hyperspectral imagery: overview and application
Rasti, B; Scheunders, Paul; Ghamisi, Pedram; Licciardi, G.; Chanussot, Jocelyn (2018-03) -
Remote sensing data fusion : guided filter-based hyperspectral pansharpening and graph-based feature-level fusion
Liao, Wenzhi; Chanussot, Jocelyn; Philips, Wilfried (2017) -
Taking optimal advantage of fine spatial information: promoting partial image reconstruction for the morphological analysis of very-high-resolution images
Liao, Wenzhi; Chanussot, Jocelyn; Dalla Mura, Mauro; Huang, Xin; Bellens, Rik; Gautama, Sidharta; Philips, Wilfried (2017)