Semantic Clustering of a Sequence of Satellite Images. (arXiv:2208.13504v1 [cs.CV])

Satellite images constitute a highly valuable and abundant resource for many
real world applications. However, the labeled data needed to train most machine
learning models are scarce and difficult to obtain. In this context, the
current work investigates a fully unsupervised methodology that, given a
temporal sequence of satellite images, creates a partition of the ground
according to its semantic properties and their evolution over time. The
sequences of images are translated into a grid of multivariate time series of …

arxiv clustering images satellite satellite images semantic