Automatic Detection of Acoustic Signals on LOFAR grams Using Image Processing Technology

The LOFARgram has long been a standard means of representing sonar signals in a combined time-frequency presentation. The LOFARgram represents a particular way of casting the time-frequency distribtution of acoustic energy as a 2-dimensional image. Thus it is natural to apply the techniques of image and seismic processing to the problem we address in this proposal; namely, the need for additional capabilities for the automated detection of the full spectrum of acoustic radiation in passive undersea data and enhanced presentation to the operator. Our approach to this problem is to apply the techniques of image and seismic processing in conjunction with public and commercial image and signal processing packages to develop, on a desk top computer, a multi-dimensional signal processing testbed or tool kit which can be used to enhance desired features in time series data. The data will be displayGd in the LOFARgram format, after processing. When the tool kit is completed one or two processes will be analyzed and ROC curves developed as time allows.