[IP2-1-3-2] Principal Component Analysis (PCA)-based pan-sharpening

This pan-sharpening method uses PCA to transfer detailed spatial information from panchromatic band to the available multispectral bands.

External resources

• Mohamed Ghadjati, Abdelkrim Moussaoui & Abdelhak Boukharouba (2019) A novel iterative PCA–based pansharpening method, Remote Sensing Letters, 10:3, 264-273, DOI: 10.1080/2150704X.2018.1547443
• Pohl, C. , Van Genderen, J. 2014. Remote sensing image fusion: An update in the context of digital earth. International Journal of Digital Earth,, 7, 158-172.

Learning outcomes

• 1143 - Outline the workflow for pan-sharpening an image with the PCA method

  Outline the workflow for pan-sharpening an image with the PCA method

Self assessment

Outgoing relations

• [IP2-1-3-2] Principal Component Analysis (PCA)-based pan-sharpening subclassof [IP2-1-3] Pan-sharpening

Incoming relations

• [IP1-6] Principal component analysis (PCA) is prerequisite of [IP2-1-3-2] Principal Component Analysis (PCA)-based pan-sharpening

Contributors

• Florian Albrecht
  https://www.researchgate.net/profile/Florian_Albrecht
• Mariana Belgiu
  https://research.utwente.nl/en/persons/mariana-belgiu
• Stefan Lang
  https://www.uni-salzburg.at/index.php?id=32483&L=1