The following is a brief report from the signal processing section of the ONR Broadband MCM workshop that was held 4-6 August 1998 in Park City, Utah. The workshop was very successful. In the signal processing section three high-priority littoral MCM problems were identified that lend themselves to broadband sonar solutions. It was emphasized that false alarm reduction is the fundamental MCM need.
Detection is a precursor to classification.
Examples of mine-like attributes for a high resolution MCM imaging sonar include shape, strength, and distribution of highlight and shadow pixels. The consequence of classifying an object as a mine is that one is willing to commit the time and resources to enter into the identification phase, which is generally a time consuming process. Q is defined as the ratio of the bandwidth to the mean frequency. Concerning resolution, the inverse of the bandwidth alone determines the lower bound on range resolution. This variance is determined in the standard statistical manner by using the normalized power spectrum as the probability density.