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PCA Band Selector QGIS 4 compatibility

QGIS 4 ready Active

Yes — PCA Band Selector supports QGIS 4 (declared max version 4.99.0).

Analyze multiband raster using PCA to find the most unique and informative band combinations

About

PCA Band Selector performs Principal Component Analysis (PCA) on any multiband raster (Landsat, Sentinel, AVIRIS, etc.) to identify which bands carry the most unique spectral information. It recommends optimal 2, 3, and 4-band combinations for classification and visualization by maximizing information content and minimizing inter-band redundancy. Features: - Explained variance chart per Principal Component - PC Loadings matrix (color coded) - Band uniqueness scores ranked - Best 2/3/4-band combination recommendations - Inter-band correlation matrix - Auto memory management for large images - Export results as TXT report or CSV - Compatible with QGIS 3.x and QGIS 4.x (Qt5 and Qt6)

AuthorBallu Harish
Downloads978
Latest version1.0.1
Last updated2026-06-22 (116 days ago)
Min QGIS3.0.0
Max QGIS4.99.0
QGIS 4 readyYes
MaintenanceActive
CategoryRemote sensing
Tagsclassification, remote sensing, band selection, sentinel, landsat, spectral, hyperspectral, principal components analysis, pca, multiband, raster

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Maintenance: Active = updated within 1 year, Quiet = 1–3 years, Likely abandoned = over 3 years.