MORPHOLOGICAL SEGMENTATION OF HYPERSPECTRAL IMAGES

Authors

  • Guillaume Noyel
  • Jesús Angulo
  • Dominique Jeulin

DOI:

https://doi.org/10.5566/ias.v26.p101-109

Keywords:

factor analysis, hyperspectral imagery, mathematical morphology, watershed segmentation

Abstract

The present paper develops a general methodology for the morphological segmentation of hyperspectral images, i.e., with an important number of channels. This approach, based on watershed, is composed of a spectral classification to obtain the markers and a vectorial gradient which gives the spatial information. Several alternative gradients are adapted to the different hyperspectral functions. Data reduction is performed either by Factor Analysis or by model fitting. Image segmentation is done on different spaces: factor space, parameters space, etc. On all these spaces the spatial/spectral segmentation approach is applied, leading to relevant results on the image.

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Published

2011-05-03

How to Cite

Noyel, G., Angulo, J., & Jeulin, D. (2011). MORPHOLOGICAL SEGMENTATION OF HYPERSPECTRAL IMAGES. Image Analysis and Stereology, 26(3), 101–109. https://doi.org/10.5566/ias.v26.p101-109

Issue

Section

Original Research Paper

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