HAL will be down for maintenance from Friday, June 10 at 4pm through Monday, June 13 at 9am. More information
Skip to Main content Skip to Navigation
Journal articles

Morphological segmentation of hyperspectral images

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.
Complete list of metadata

Cited literature [19 references]  Display  Hide  Download

https://hal.archives-ouvertes.fr/hal-01220414
Contributor : Guillaume Noyel Connect in order to contact the contributor
Submitted on : Thursday, October 1, 2020 - 12:37:17 PM
Last modification on : Wednesday, November 17, 2021 - 12:27:18 PM

Files

2007_Morphological_seg_hypersp...
Files produced by the author(s)

Licence

Copyright

Identifiers

Citation

Guillaume Noyel, Jesus Angulo, Dominique Jeulin. Morphological segmentation of hyperspectral images. Image Analysis and Stereology, International Society for Stereology, 2007, 26 (3), pp.101-109. ⟨10.5566/ias.v26.p101-109⟩. ⟨hal-01220414v2⟩

Share

Metrics

Record views

2889

Files downloads

180