Operations Research, Systems Engineering and Industrial Engineering Commons^™

Value Focused Thinking Applications To Supervised Pattern Classification With Extensions To Hyperspectral Anomaly Detection Algorithms, David S. Scanland

Theses and Dissertations

Hyperspectral imaging (HSI) is an emerging analytical tool with flexible applications in different target detection and classification environments, including Military Intelligence, environmental conservation, etc. Algorithms are being developed at a rapid rate, solving various related detection problems under certain assumptions. At the core of these algorithms is the concept of supervised pattern classification, which trains an algorithm to data with enough generalizability that it can be applied to multiple instances of data. It is necessary to develop a logical methodology that can weigh responses and provide an output value that can help determine an optimum algorithm. This research focuses on …