Development of Algorithm for Fusion of Hyperspectral and Multispectral Imagery with the Objective of Improving Spatial Resolution While Retaining Spectral Data Thesis

The senior research project that was completed was a study in the field of remote sensing and research area of image fusion technique development. Image fusion is sometimes referenced as image merging in the literature on the subject. The image fusion techniques that were developed for the project were implemented using digital image processing methods. An image fusion algorithm with two main purposes was developed for the project. The first purpose of the algorithm was the fusion of hyperspectral imagery with multispectral imagery. Its second main purpose was the prevention of degradation of the spectral data in the hyperspectral imagery when fusing it with multispectral imagery for improved spatial resolution. The algorithm has the significant capability of producing an imagery product with high spatial resolution and high-quality spectral data. The completion of the project was accomplished with Dr. Carl Salvaggio, an associate professor with the Digital Imaging and Remote Sensing (DIRS) Laboratory, acting as advisor for the project. Dr. Joseph Hornak, professor for the undergraduate course that administered the project, also assisted in the completion of the project.