Comparative study on morphological principal component analysis of hyperspectral images - Archive ouverte HAL Access content directly
Conference Papers Year :

Comparative study on morphological principal component analysis of hyperspectral images

Gianni Franchi
Jesus Angulo

Abstract

This paper deals with a problem of reducing the dimension of hyperspectral images using the principal component analysis. Since hyperspectral images are always reduced before any process, we choose to do this reduction by adding spatial information that can be useful then for classification process; to do it we choose to project our data in new spaces thanks mathematical morphology.
Fichier principal
Vignette du fichier
WhispersFRANCHI_ANGULO.pdf (390.79 Ko) Télécharger le fichier
Origin : Files produced by the author(s)
Loading...

Dates and versions

hal-01256947 , version 1 (15-01-2016)

Identifiers

  • HAL Id : hal-01256947 , version 1

Cite

Gianni Franchi, Jesus Angulo. Comparative study on morphological principal component analysis of hyperspectral images. Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS), 6th Workshop on, Jun 2014, Lausanne, Switzerland. ⟨hal-01256947⟩
4722 View
186 Download

Share

Gmail Facebook Twitter LinkedIn More