Issues in Acoustic Signal — Image Processing and Recognition

1. Front Matter

   Pages I-VIII

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2. Overview

   1. A Common Framework for Acoustic Signal Analysis in the Ocean Environment

      • J. C. Hassab

      Pages 1-33

3. Pattern Recognition Processing

   1. Application of Signal Processing and Pattern Recognition to Underwater Acoustics

      • C. H. Chen

      Pages 35-75

   2. Acoustical Classification of the Seafloor

      • Jens M. Hovem, Rune M. Holt

      Pages 77-93

4. Artificial Intelligence Approach

   1. Machine Analysis of Acoustical Signals

      • Joseph N. Maksym, Anthony J. Bonner, C. Ann Dent, Gavin L. Hemphill

      Pages 95-112

5. Issues in Array Processing and Target Motion Analysis

   1. Problems of Spatial Signal Processing in Shallow Water

      • R. Klemm

      Pages 113-137

   2. Geometric Aspects in Array Processing

      • José M. F. Moura

      Pages 139-154

   3. Adaptive Range Tracking of Underwater Maneuvering Targets Using Passive Measurements

      • Richard L. Moose

      Pages 155-172

   4. Bearing Estimation using Random Arrays

      • Melvin J. Hinich

      Pages 173-180

   5. How VHF Acoustics can Help Process Underwater Acoustic Signals

      • H. Gautier, P. Tournois

      Pages 181-196

6. Underwater Channel Characterization

   1. Characterization of the Underwater Channel Application to Communication

      • G. Jourdain

      Pages 197-209

7. Issues in Seismic Signal Processing

   1. Multidimensional Filtering of Acoustic Records in Seismic Signal Processing

      • Giovanni Garibotto

      Pages 211-232

   2. Sampling Theory and Wave Propagation

      • J. Morlet

      Pages 233-261

8. Image Processing

   1. Implementation of Image Enhancement and Least Squares Filtering Techniques for Acoustic Data

      • T. S. Durrani

      Pages 263-282

   2. Digital Processing of Time Varying Images

      • V. Cappellini, A. Del Bimbo

      Pages 283-293

   3. The Template Edge Detector and its Performance

      • J. Kittler

      Pages 295-307

   4. On a Spatial Clustering Algorithm for Image Analysis

      • C. H. Chen

      Pages 309-314

   5. Digital Image Processing by Means of Generalized Scale-Invariant Filters

      • C. Braccini, G. Gambardella, A. Grattarola

      Pages 315-329

   6. Report of Discussion Session on Unresolved Issues and Future Directions

      • C. H. Chen

      Pages 331-332

9. Back Matter

   Pages 333-333

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The NATO Advanced Research Workshop on Issues in Acoustic Signal/Image Processing and Recognition was held August 5-9, 1982 at the Cappuccini complex in San Miniato Italy. The Workshop was primarily concerned with the underwater acoustic signal processing and seismic signal analysis and a major effort was made to link these topics with pattern recognition, i~ge processing and artificial intelligence. Major issues and new approaches in these interrelated areas were closely examined in the Workshop. In addition to paper presentations three discussion sessions were held on! (1) spectral analysis in underwater acoustics, (2) seismic wave propaga­ tion, seismic imaging and migration, and seismic inversion, and (3) unresolved issues and future directions. This Proceedings volume includes most presentations made at the Workshop. The publication, like the meeting itself, is unique in the sense that it provides exten­ sive interactions among the closely related areas stated above. Such interactions which usually result in the integration of different systems or approaches are certainly much needed to achieve some performance breakthrough while individual systems or approaches reach their performance limit. I am grateful to all participants for their active participation that makes the Workshop very productive, and to Dr. Lewis J. Lloyd and Dr. Ralph Goodman for their help to arrange an informative visit to the SACLANT ASW Research Centre for the Workshop participants. I am confident that this publication will be equally produc­ tive to report important current research results and near-future research activity particularly in underwater acoustic signal processing.

• Chen
• Series
• Signal
• acoustics
• artificial intelligence
• image processing
• pattern
• pattern recognition
• signal analysis
• signal processing

• Department of Electrical and Computer Engineering, Southeastern Massachusetts University, North Dartmouth, USA

  C. H. Chen

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