Non-parametric Bayesian framework for detection of object configurations with large intensity dynamics in highly noisy hyperspectral data
type: Dataset
contact point: Organization
  fn: CCSD
keyword: hyperspectral-data
keyword: infoinfo-tscomputer-science-cssignal-and-image-processing
keyword: detection
keyword: marked-point-process
keyword: conference-papers
keyword: infoeu-reposemanticsconferenceobject
keyword: nonparametric-bayesian-models
keyword: spisignalengineering-sciences-physicssignal-and-image-processing
landing page: ICASSP 2014 - Proceedings
description: International audience
issued: 2026-05-05T11:11:15.274497
language: en
modified: 2026-05-05T11:11:15.274501

Non-parametric Bayesian framework for detection of object configurations with large intensity dynamics in highly noisy hyperspectral data
type: Distribution
access URL: https://hal.science/hal-00991388
format: HTML
issued: 2026-05-05T11:11:15.276703
modified: 2026-05-05T11:11:15.262149

test_moissonnage_selune
type: Agent