Wenzhi Liao

Publications

• A deep-neural-network-based hybrid method for semi-supervised classification of polarimetric SAR data
• Fusion of pixel and object-based features for weed mapping using unmanned aerial vehicle imagery
• Multiscale superpixel-level subspace-based support vector machines for hyperspectral image classification
• Robust joint sparsity model for hyperspectral image classification
• Big Data Processing in Artwork Analysis
• Double reweighted sparse regression for hyperspectral unmixing
• Exploiting the low-rank property of hyperpsectral imagery: a technical overview
• Fusion of Spectral And Spatial Information for Land Cover Classification
• Fusion of spectral and spatial information for classification of hyperspectral remote-sensed imagery by local graph
• Hyperspectral image kernel sparse subspace clustering with spatial max pooling operation
• Hyperspectral unmixing by reweighted low rank and total variation
• Paint loss detection in old paintings by sparse representation classification
• Fusion of thermal infrared hyperspectral image and visible RGB image for classification
• Generalized graph-based fusion of hyperspectral and LiDAR data using morphological features
• Processing of multiresolution thermal hyperspectral and digital color data: outcome of the 2014 IEEE GRSS data fusion contest
• Two-stage fusion of thermal hyperspectral and visible RGB image by PCA and guided filter
• Combining feature fusion and decision fusion for classification of hyperspectral and LiDAR data
• Fusion of pixel-based and object-based features for classification of urban hyperspectral remote sensing data
• Hyperspectral and LiDAR data fusion: outcome of the 2013 GRSS data fusion contest
• Hyperspectral image deblurring with PCA and total variation
• Semisupervised local discriminant analysis for feature extraction in hyperspectral images
• Two-stage denoising method for hyperspectral images combining KPCA and total variation
• Classification of hyperspectral data over urban areas based on extended morphological profile with partial reconstruction
• Classification of hyperspectral data over urban areas using directional morphological profiles and semi-supervised feature extraction
• Feature extraction for hyperspectral images based on semi-supervised local linear discriminant analysis
• A fast iterative kernel PCA feature extraction for hyperspectral images