Remote sensing image classification
Support Vector Machine Versus Random Forest for Remote Sensing Image Classification: A Meta-Analysis and Systematic Review.
Kernel-based learning on hierarchical image representations : applications to remote sensing data classification
Multisensor and Multiresolution Remote Sensing Image Classification through a Causal Hierarchical Markov Framework and Decision Tree Ensembles
Scalable Bag of Subpaths Kernel for Learning on Hierarchical Image Representations and Multi-Source Remote Sensing Data Classification
Classification of Multisensor and Multiresolution Remote Sensing Images through Hierarchical Markov Random Fields
A causal hierarchical Markov framework for the classification of multiresolution and multisensor remote sensing images
Knowledge Models and Image Processing Analysis in Remote Sensing: Examples of Yakutsk (Russia) and Kaunas (Lithuania)