Communication Dans Un Congrès Année : 2021

Ghost : Gradient Histogram of Spectral Texture

Résumé

A gradient-based texture feature for hyperspectral image is formulated with straightforward application to grayscale and color images. Processed in full band, GHOST is expressed as a four-dimensional probability density distribution encompassing joint metrological assessment of spectral and spatial properties. Its performance is close to Opponent Band Local Binary Pattern (OBLBP) in HyTexiLa texture classification (91 %-99 % accuracy) with feature size 0.2 % of OBLBP's.

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Dates et versions

hal-03463713 , version 1 (02-12-2021)

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Rui Jian Chu, Noel Richard, Hermine Chatoux, Christine Fernandez-Maloigne, Jon Yngve Hardeberg. Ghost : Gradient Histogram of Spectral Texture. 11th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, WHISPERS, Mar 2021, Amsterdam, Netherlands. pp.1-5, ⟨10.1109/WHISPERS52202.2021.9484027⟩. ⟨hal-03463713⟩
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