Binary partition tree as a hyperspectral segmentation tool for tropical rainforests

Guillaume Tochon, Jean Baptiste Feret, Roberta E. Martin, Raul Tupayachi, Jocelyn Chanussot, Gregory P. Asner

Research output: Contribution to conferencePaper

7 Scopus citations

Abstract

Individual tree crown delineation in tropical forests is of great interest for ecological applications. In this paper we propose a method for hyperspectral image segmentation based on binary tree partitioning. The initial partition is obtained from a watershed transformation in order to make the method computationally more efficient. Then we use a non-parametric region model based on histograms to characterize the regions and the diffusion distance to define the region merging order. The pruning strategy is based on the discontinuity of size increment observed when iteratively merging the regions. The segmentation quality is assessed visually and appears to perform well on most cases, but tree delineation could be improved by including structural information derived from LiDAR data.

Original languageEnglish (US)
Pages6368-6371
Number of pages4
DOIs
StatePublished - Dec 1 2012
Externally publishedYes
Event2012 32nd IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2012 - Munich, Germany
Duration: Jul 22 2012Jul 27 2012

Conference

Conference2012 32nd IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2012
CountryGermany
CityMunich
Period7/22/127/27/12

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Keywords

  • Binary partition tree
  • Carnegie airborne observatory
  • hyperspectral imagery
  • segmentation
  • tree crown delineation
  • tropical forest

ASJC Scopus subject areas

  • Computer Science Applications
  • Earth and Planetary Sciences(all)

Cite this

Tochon, G., Feret, J. B., Martin, R. E., Tupayachi, R., Chanussot, J., & Asner, G. P. (2012). Binary partition tree as a hyperspectral segmentation tool for tropical rainforests. 6368-6371. Paper presented at 2012 32nd IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2012, Munich, Germany. https://doi.org/10.1109/IGARSS.2012.6352716