Browsing by Author "Gao, Lianru"

A new kernel method for hyperspectral image feature extraction

An entropy and MRF model-based CNN for large-scale Landsat image classification

Coupled Convolutional Neural Network With Adaptive Response Function Learning for Unsupervised Hyperspectral Super Resolution

Deep learning for fusion of APEX hyperspectral and full-waveform LiDAR remote sensing data for tree species mapping

Fusion of multi-scale hyperspectral and LIDAR features for tree species mapping

Global spatial and local spectral similarity-based group sparse representation for hyperspectral imagery classification

Multiscale superpixel-level subspace-based support vector machines for hyperspectral image classification

Optimized kernel minimum noise fraction transformation for hyperspectral image classification

Potential analysis of feature extraction based quick response for environmental change with social media photos