Sequence Similarity and Multi-Date Image Segmentation
Alain Ketterlin, Pierre Ganarski · 2007
Multi-date images present new challenges and new opportunities for image analysis. This paper considers the task of segmenting a multi-date image by clustering its pixels without requiring perfect time-based alignment. It first introduces the problem, and then proceeds with the definition of a similarity measure between sequences of observations, i. e., pixels. This is followed by an explanation of how to use this similarity measure to apply well known clustering algorithms. The paper concludes by some brief experiment descriptions.