Unsupervised, robust estimation-based clustering of remotely sensed images

Automated image clustering/classification is a task of considerable importance. To apply this task to remotely sensed imagery, the authors have pursued an unsupervised clustering scheme based on principles of robust (statistical) estimation. A description of the module employed and results obtained are provided.