Blind source separation methods and application to remote sensing
type: Dataset
description: Thèse en co-tutelle internationale Franco-Algérienne
issued: 2026-05-14T08:51:18.268922
language: fr
modified: 2026-05-14T08:51:18.268927
contact point: Organization
  fn: CCSD
keyword: analyse-en-composantes-independantes
keyword: analyse-en-composantes-parcimonieuses
keyword: blind-source-separation
keyword: classification
keyword: demelange-spectralspatial
keyword: factorisation-en-matrices-non-negatives
keyword: imagerie-multihyperspectrale-de-teledetection-spatiale
keyword: independent-component-analysis
keyword: infoeu-reposemanticsdoctoralthesis
keyword: infoinfo-tscomputer-science-cssignal-and-image-processing
keyword: moindres-carres-non-negatifs
keyword: non-negative-least-squares
keyword: non-negative-matrix-factorization
keyword: remote-sensing-multihyperspectral-imagery
keyword: separation-aveugle-de-sources
keyword: sparse-component-analysis
keyword: spectralspatial-unmixing
keyword: spisignalengineering-sciences-physicssignal-and-image-processing
keyword: theses
landing page: https://theses.hal.science/tel-00790655

Blind source separation methods and application to remote sensing
type: Distribution
format: HTML
issued: 2026-05-14T08:51:18.306147
modified: 2026-05-14T08:51:18.227939
access URL: https://theses.hal.science/tel-00790655

test_moissonnage_selune
type: Agent