Unsupervised Segmentation of Hyperspectral Remote Sensing Images with Superpixels. (arXiv:2204.12296v2 [cs.CV] UPDATED)

In this paper, we propose an unsupervised method for hyperspectral remote
sensing image segmentation. The method exploits the mean-shift clustering
algorithm that takes as input a preliminary hyperspectral superpixels
segmentation together with the spectral pixel information. The proposed method
does not require the number of segmentation classes as input parameter, and it
does not exploit any a-priori knowledge about the type of land-cover or
land-use to be segmented (e.g. water, vegetation, building etc.). Experiments
on Salinas, SalinasA, Pavia Center and …

arxiv cv images remote segmentation sensing unsupervised