Hyperspectral Analysis Toolkit

The Hyperspectral Analysis Toolkit mentioned here operates within the MATLAB environment, offering time-efficient and labor-saving approaches for hyperspectral image analysis and processing. This toolkit proves highly practical for users requiring hyperspectral image manipulation, enabling more convenient analysis workflows and enhanced productivity. The package incorporates various analytical methods and algorithms, including spectral unmixing techniques, dimensionality reduction approaches like PCA (Principal Component Analysis), and classification algorithms such as SVM (Support Vector Machines), allowing users to select the most suitable methods for their specific requirements. Additionally, the toolkit features excellent compatibility and user-friendly implementation through MATLAB's native function calls and customizable parameter settings. Its straightforward installation process and intuitive interface design ensure easy adoption, making it accessible even for beginners through simple command-line executions and GUI-based operations.