Lorenzo Bruzzone

Classification of hyperspectral remote sensing images with support vector machines

Recent advances in techniques for hyperspectral image processing

Kernel-based methods for hyperspectral image classification

ADJUST: An automatic EEG artifact detector based on the joint use of spatial and temporal features

Automatic analysis of the difference image for unsupervised change detection

Lunar impact crater identification and age estimation with Chang’E data by deep and transfer learning

Advances in Hyperspectral Image Classification: Earth Monitoring with Statistical Learning Methods

Classification of Hyperspectral Images With Regularized Linear Discriminant Analysis

Morphological Attribute Profiles for the Analysis of Very High Resolution Images

An unsupervised approach based on the generalized Gaussian model to automatic change detection in multitemporal SAR images

A Theoretical Framework for Unsupervised Change Detection Based on Change Vector Analysis in the Polar Domain

Learning Spectral-Spatial-Temporal Features via a Recurrent Convolutional Neural Network for Change Detection in Multispectral Imagery