Basic Hyperspectral Image Processing

Resource Overview

This graduation project focuses on fundamental hyperspectral image processing, implementing core functionalities including single-band extraction and pseudo-color image synthesis. The project provides a modular program framework that allows easy integration of additional features. A MATLAB-based GUI interface has been developed to enhance user interaction and operational efficiency.

Detailed Documentation

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The graduation project primarily involves basic processing of hyperspectral images. The processing workflow includes two key functionalities: single-band extraction, which isolates specific spectral bands using MATLAB's matrix indexing capabilities (e.g., band_data = hyperspectral_data(:,:,band_index)), and pseudo-color image synthesis, which combines multiple spectral bands through weighted RGB channel assignments to create visually interpretable representations. The project features a modular program framework designed with extensible function interfaces, allowing seamless integration of additional image processing algorithms through standardized input/output parameter structures. Furthermore, a comprehensive GUI interface has been developed using MATLAB's App Designer, incorporating interactive controls for band selection, color mapping parameters, and real-time visualization of processing results, significantly improving user experience and operational efficiency.