Remote Sensing Image Fusion Algorithm Combining HIS and Wavelet Transforms

This MATLAB-based remote sensing image fusion algorithm combines HIS transformation with wavelet analysis to merge multiple remote sensing images effectively. The algorithm enhances spatial resolution while preserving spectral characteristics, enabling more accurate analysis of surface features. Specifically, the HIS transformation component processes color space conversion to optimize brightness and contrast adjustments, whereas the wavelet decomposition extracts high-frequency details and edge information from the source images. By integrating these transformations, the fusion process yields richer image data with improved visual quality and analytical value for remote sensing applications. The implementation utilizes MATLAB's Image Processing Toolbox functions for HIS color space conversion (rgb2hsv/hsv2rgb) and wavelet toolbox functions (wavedec2/waverec2) for multi-resolution decomposition. Key algorithmic steps include: 1) Converting RGB images to HIS components, 2) Applying wavelet transform to panchromatic and multispectral images, 3) Replacing approximation coefficients with high-resolution components, and 4) Performing inverse wavelet and HIS transformations. This structured approach leverages MATLAB's matrix operations and built-in functions for efficient multiband image processing. As a robust tool for remote sensing analysis, this fusion algorithm demonstrates practical utility in environmental monitoring, land cover classification, and geological survey applications through enhanced image interpretability.