Classification of Search Time for Target Detection using Multivariate Statistical Analysis

摘要

A great deal of interest has been recently shown in the determining probability of target detection. It has also been observed that search time is an appropriate measure for determining the probability of target detection. The problem is of the significant importance to academicians industry or Army. The object of this paper is to develop a technique for determining the parameters, which contribute most to the probability of target detection. In order to achieve this objective an algorithm is proposed in this paper. The algorithm utilizes Principal Component Analysis (PCA) and Hierarchical Clustering Analysis (HCA). The algorithm is tested for the data consisting of 44 observations and 8 input parameters. The input parameters are responsible for the search time. The algorithm classifies the data into two classes such as low search time and high search time. The parameters contributing to the less search time and hence more probability of target detection are identified.