@article{fdi:010072676,
  title = {{Q}uaternion-based texture analysis of multiband satellite images : application to the estimation of aboveground biomass in the east region of {C}ameroon},
  author = {{K}enfack, {C}. {B}. {D}. and {M}onga, {O}livier and {M}pong, {S}. {M}. and {N}doundam, {R}.},
  editor = {},
  language = {{ENG}},
  abstract = {{W}ithin the last decade, several approaches using quaternion numbers to handle and model multiband images in a holistic manner were introduced. {T}he quaternion {F}ourier transform can be efficiently used to model texture in multidimensional data such as color images. {F}or practical application, multispectral satellite data appear as a primary source for measuring past trends and monitoring changes in forest carbon stocks. {I}n this work, we propose a texture-color descriptor based on the quaternion {F}ourier transform to extract relevant information from multiband satellite images. {W}e propose a new multiband image texture model extraction, called {FOTO}++, in order to address biomass estimation issues. {T}he first stage consists in removing noise from the multispectral data while preserving the edges of canopies. {A}fterward, color texture descriptors are extracted thanks to a discrete form of the quaternion {F}ourier transform, and finally the support vector regression method is used to deduce biomass estimation from texture indices. {O}ur texture features are modeled using a vector composed with the radial spectrum coming from the amplitude of the quaternion {F}ourier transform. {W}e conduct several experiments in order to study the sensitivity of our model to acquisition parameters. {W}e also assess its performance both on synthetic images and on real multispectral images of {C}ameroonian forest. {T}he results show that our model is more robust to acquisition parameters than the classical {F}ourier {T}exture {O}rdination model ({FOTO}). {O}ur scheme is also more accurate for aboveground biomass estimation. {W}e stress that a similar methodology could be implemented using quaternion wavelets. {T}hese results highlight the potential of the quaternion-based approach to study multispectral satellite images.},
  keywords = {{D}iscrete quaternion {F}ourier transform ; {Q}uaternion-based texture indices ; {M}ultiband satellite images ; {A}boveground biomass ; {C}ameroon ; {CAMEROUN}},
  booktitle = {},
  journal = {{A}cta {B}iotheoretica},
  volume = {66},
  numero = {1},
  pages = {17--60},
  ISSN = {0001-5342},
  year = {2018},
  DOI = {10.1007/s10441-018-9317-z},
  URL = {https://www.documentation.ird.fr/hor/fdi:010072676},
}