Mean shift-based clustering of remotely sensed data
Lior Friedman, Nathan S. Netanyahu, Maxim Shoshany · 2004
In this paper, we investigate how to further exploit the various characteristics of mean shift, in an attempt to achieve a robust and efficient clustering module for remotely sensed data. A mean shift algorithm has shown o be promising in various image-processing applications, specifically in cluster analysis.