PCA (Principal Component Analysis) in Breeze reduces hyperspectral data complexity by transforming correlated spectral variables into principal components. This helps highlight key patterns for easier visualization and data selection. The PCA descriptor simplifies analysis across multiple images and provides insights into spectral contributions, improving data interpretation and understanding of the chemistry of your materials.
PCA
PCA (Principal Component Analysis) in Breeze reduces hyperspectral data complexity by transforming correlated spectral variables into principal components. This helps highlight key patterns for easier visualization and data selection. The PCA descriptor simplifies analysis across multiple images and provides insights into spectral contributions, improving data interpretation and understanding of the chemistry of your materials.
