article · IEEE Transactions on Image Processing · 2012
Hyperspectral Image Representation and Processing With Binary Partition Trees
Silvia Valero, Philippe Salembier, J. Chanussot
Cited by 99Open access
Abstract
The optimal exploitation of the information provided by hyperspectral images requires the development of advanced image-processing tools. This paper proposes the construction and the processing of a new region-based hierarchical hyperspectral image representation relying on the binary partition tree (BPT). This hierarchical region-based representation can be interpreted as a set of hierarchical regions stored in a tree structure. Hence, the BPT succeeds in presenting: 1) the decomposition of the image in terms of coherent regions, and 2) the inclusion relations of the regions in the scene. Based on region-merging techniques, the BPT construction is investigated by studying the hyperspectral region models and the associated similarity metrics. Once the BPT is constructed, the fixed tree structure allows implementing efficient and advanced application-dependent techniques on it. The application-dependent processing of BPT is generally implemented through a specific pruning of the tree. In this paper, a pruning strategy is proposed and discussed in a classification context. Experimental results on various hyperspectral data sets demonstrate the interest and the good performances of the BPT representation.
Cite this paper
Valero, S., Salembier, P., & Chanussot, J. (2012). Hyperspectral Image Representation and Processing With Binary Partition Trees. IEEE Transactions on Image Processing, 22(4), 1430–1443. https://doi.org/10.1109/tip.2012.2231687
Valero, Silvia, et al. “Hyperspectral Image Representation and Processing With Binary Partition Trees.” IEEE Transactions on Image Processing, vol. 22, no. 4, 2012, pp. 1430–43, https://doi.org/10.1109/tip.2012.2231687.
Valero, Silvia, Philippe Salembier, and J. Chanussot. 2012. “Hyperspectral Image Representation and Processing With Binary Partition Trees.” IEEE Transactions on Image Processing 22 (4): 1430–43. https://doi.org/10.1109/tip.2012.2231687.
Valero, S., Salembier, P. and Chanussot, J. (2012) ‘Hyperspectral Image Representation and Processing With Binary Partition Trees’, IEEE Transactions on Image Processing, 22(4), pp. 1430–1443. Available at: https://doi.org/10.1109/tip.2012.2231687.
@article{valero2012hyperspectral,
title = {{Hyperspectral Image Representation and Processing With Binary Partition Trees}},
author = {Valero, Silvia and Salembier, Philippe and Chanussot, J.},
journal = {IEEE Transactions on Image Processing},
volume = {22},
number = {4},
pages = {1430--1443},
year = {2012},
doi = {10.1109/tip.2012.2231687}
}Made from the index record. Check names, capitalisation and page numbers against the paper. Need another style? AI for Research has over 10,000.