Hyperspectral Image Processing: Band Extraction, 3D Visualiz

Hyperspectral Imaging, Spectral Bands, 3D Visualization, Remote Sensing, RGB, False-Color, CIR, MATLAB

• Introduction – Overview of hyperspectral imaging and its applications.
• Loading & Normalization – Importing the hyperspectral cube and normalizing pixel values.
• Single-Band Extraction – Selecting and visualizing a specific spectral band in grayscale.
• 3D Visualization – Using MATLAB’s slice() function to explore spectral variations.
• Color Representation – Generating RGB, false-color, and CIR composites for analysis.
• Overlay & Enhancement – Combining RGB with 3D visualization for better interpretation.
• Conclusion – Importance of hyperspectral visualization in remote sensing and beyond.