Hyperspectral image data processing uses a wide-range of wavelength spectra to identify targets within an image. The goal of this project is to explore the characteristics of processing algorithms. The key components of the project are the development of a set of metrics to determine the success and failure rates of an algorithm, the creation of tools to optimize performance and the presentation of the results of applying the metrics and tools to a test process.