IDCube Legacy Documentation
Documentation for IDCubePro 2.79, IDCubeLite, and earlier IDCube workflows.
Preserved Documentation
This documentation library is maintained for users working with earlier IDCubePro and IDCubeLite releases and for reference when learning established hyperspectral analysis workflows.
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Explore Legacy Workflows
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File & Data Management
Open, import, combine, reference, save, and export hyperspectral datasets.
View Guides →View & Display
Inspect image information, bands, channels, display scaling, and interface appearance.
View Guides →Edit & Preprocessing
Crop, bin, rotate, remove bands, correct pixels, and annotate datasets.
View Guides →Plots & Spectral Profiles
Create and explore spectral plots and spectral information.
View Guides →Filtering & Enhancement
Reduce noise, smooth data, enhance contrast, normalize images, and evaluate image quality.
View Guides →Data Corrections
Correct background, illumination, scatter, and spectral baseline effects.
View Guides →Compression & Dimensionality Reduction
Reduce hyperspectral data size and dimensionality using ICA, wavelet, and PCA-based compression methods.
View Compression Guides →Toolboxes & Advanced Analysis
Explore PCA, MNF, clustering, classification, spectral matching, 3D, and data fusion.
View Guides →Machine Learning
Create labels and masks, prepare training data, and perform clustering and classification.
View Guides →Spectral Analysis
Transform spectra, calculate derivatives, compare signatures, and generate similarity maps.
View Guides →Special Functions
Access macros, LUT generation, and heatmap visualization tools.
View Guides →File & Data Guides
Open, import, combine, reference, save, and export hyperspectral datasets.
View & Display Guides
Inspect dataset information and adjust how images and interfaces are displayed.
Edit & Preprocessing Guides
Prepare and modify datasets before visualization and analysis.
Plots & Spectral Profiles
Filtering & Enhancement Guides
Smooth, denoise, enhance, normalize, and evaluate hyperspectral imagery.
Data Correction Guides
Correct illumination, background, scatter, and spectral baseline effects.
Compression & Dimensionality Reduction Guides
Reduce hyperspectral data size and dimensionality using PCA, ICA, and wavelet-based compression methods.
Toolbox & Advanced Analysis Guides
Advanced dimensionality reduction, classification, clustering, feature extraction, visualization, and fusion.
Machine Learning Guides
Prepare labels and masks and apply classification and clustering workflows.
Spectral Analysis Guides
Transform, compare, and quantify spectra and generate spectral similarity maps.
Special Function Guides
Looking for Current Documentation?
These guides were created for IDCubePro 2.79, IDCubeLite, and earlier releases. Screenshots, interface locations, and available functionality may differ from IDCubePro 2026.
![Normalization of Spectra to [0 1]](https://images.squarespace-cdn.com/content/v1/5efa3dbdf5c701690b63b8eb/1662913032466-E3GL7F405WG5HG44L7JL/unsplash-image-fJsYggiZyxc.jpg)
