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On the use of binary partition trees for the tree crown segmentation of tropical rainforest hyperspectral images

Author
Tochon, G.; Feret, J.B; Valero, S.; Martin, R.E; Knapp, D.; Salembier, P.; Chanussot, J.; Asner, G.P
Type of activity
Journal article
Journal
Remote sensing of environment
Date of publication
2015-03-05
Volume
159
First page
318
Last page
331
DOI
https://doi.org/10.1016/j.rse.2014.12.020 Open in new window
Repository
http://hdl.handle.net/2117/78368 Open in new window
URL
http://www.sciencedirect.com/science/article/pii/S0034425714005124 Open in new window
Abstract
The segmentation of remotely sensed images acquired over tropical forests is of great interest for numerous ecological applications, such as forest inventories or conservation and management of ecosystems, for which species classification techniques and estimation of the number of individuals are highly valuable inputs. In this paper, we propose a method for hyperspectral image segmentation, based on the binary partition tree (BPT) algorithm, and we apply it to two sites located in Hawaiian and ...
Citation
Tochon, G., Feret, J.B, Valero, S., Martin, R.E, Knapp, D., Salembier, P., Chanussot, J., Asner, G.P. On the use of binary partition trees for the tree crown segmentation of tropical rainforest hyperspectral images. "Remote sensing of environment", 05 Març 2015, vol. 159, p. 318-331.
Keywords
Binary partition tree, Carnegie Airborne Observatory, Hyperspectral imagery, Segmentation, Tree crown delineation, Tropical forest
Group of research
GPI - Image and Video Processing Group
IDEAI-UPC - Intelligent Data Science and Artificial Intelligence Research Center

Participants

  • Tochon, Guillaume  (author)
  • Feret, Jean-Baptiste  (author)
  • Valero Valbuena, Silvia  (author)
  • Martin, Roberta E.  (author)
  • Knapp, David E  (author)
  • Salembier Clairon, Philippe  (author)
  • Chanussot, Jocelyn  (author)
  • Asner, Gregory P.  (author)

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