IHS Fusion Algorithm for Multispectral and Panchromatic Image Integration

This documentation presents a comprehensive implementation of the IHS (Intensity-Hue-Saturation) fusion algorithm for integrating multispectral and panchromatic images. The codebase is specifically optimized for processing ETM+ remote sensing imagery. The algorithm operates through three key stages: first, transforming RGB images into IHS color space using color space conversion matrices; second, replacing the intensity component with high-resolution panchromatic data while preserving hue and saturation components; and finally, performing inverse transformation back to RGB space. This fusion technique effectively combines the spectral richness of multispectral images with the spatial detail of panchromatic images, resulting in enhanced informational content and superior image quality. The integrated output supports various applications including land use analysis, environmental monitoring, and resource management. The implementation features modular functions for color space transformations, component replacement, and image registration, enabling seamless integration of ETM+ remote sensing data with other imagery sources for comprehensive data analysis and accurate results.