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The current increase of spatial as well as spectral
resolutions of modern remote sensing sensors represents a
real opportunity for many prac
tical applications but also
generates important challenges in terms of image processing.
In particular, the spatial correlation between pixels and/or the
spectral correlation between spectral bands of a given pixel
cannot be ignored. The traditional pixel-based representation
of images does not facilitate the handling of these correlations.
In this paper, we discuss the inter
est of a particular hierarchical
region-based representation of images based on binary
partition tree (BPT). This representation approach is very
flexible as it can be applied to any type of image. Here both
optical and radar images will be discussed. Moreover, once the
image representation is computed, it can be used for many
different applications. Filtering, segmentation, and classifica-
tion will be detailed in this paper. In all cases, the interest of the
BPT representation over the classical pixel-based representa-
tion will be highlighted
CitacióAlonso, A. [et al.]. Processing multidimensional SAR and hyperspectral images with binary partition tree. "Proceedings of the IEEE", Març 2013, vol. 101, núm. 3, p. 723-747.