Automatic target detection and analyses in side-scan sonar imagery

Proceedings of the 2009 WRI Global Congress on Intelligent Systems, GCIS 2009

Volumn 4, Issue , 2009, Pages 397-403

  Tian, Wen Miin ^a  

^a NATIONAL SUN YAT SEN UNIVERSITY   (Taiwan)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL REEFS; AUTOMATIC IMAGE ANALYSIS; AUTOMATIC SYSTEMS; AUTOMATIC TARGET DETECTION; BAYESIAN CLASSIFIER; CO-OCCURRENCE-MATRIX; FEATURE CLASSIFICATION; GREY LEVELS; HIERARCHICAL CLUSTER ANALYSIS; HIGH QUALITY; OPTIMAL PARAMETER; PROGRAM VERIFICATION; REAL TIME; REGION SIZE; SEA FLOOR; SIDESCAN SONAR IMAGERY; SLIDING DISTANCES; STATIONARY TARGETS; TARGET IDENTIFICATION;

CLUSTER ANALYSIS; FEATURE EXTRACTION; FISHERIES; IMAGE ACQUISITION; IMAGE ANALYSIS; INTELLIGENT SYSTEMS; PARAMETER ESTIMATION; PIXELS; REEFS; SONAR; TARGET TRACKING; UNDERWATER ACOUSTICS;

TARGETS;

EID: 70449338825     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/GCIS.2009.459     Document Type: Conference Paper

References (18)

1. Kinsler, L. E., Frey, A. R., Coppens, A. B., and Sanders, J. V. (1982), "Fundamentals of Acoustics", New York£Wiley, pp. 265.
2. Mazel, C.(1985), "Side Scan Sonar Training Manual", Klein Associates, Inc. pp.144.
3. Reed, T.B. and Hussong, D.(1989), "Digital Image Processing Techniques for Enhancement and Classifition of SeaMARCII Side Scan Sonar Imagery", Journal of Geophysical Research, Vol. 94, no. B6, pp. 7469-7490.
4. Blondel, Ph., Sempere, J.C., Robigou, V. (1993), "Textural Analysis and Structure-Tracking for Geological Mapping£Applications to sonar images from Endeavour Segment, Juan de Fuca Ridge", Proceedings Oceans'93. 18-21 Oct, pp.208-213.
5. Blondel, Ph., Parson, L.M., Robigou, V. (1998), "Textural Analysisof SideScan Sonar Imagery and Generic Seafloor Characterisation", Proceedings OCEANS'98 Conference, Vol.1,28 Sept.-1 Oct, pp. 419-423.
6. Blondel, Ph. (2000), "Automatic Mine Detection by Textural Analysis of COTS Sidescan Sonar Imagery", International Journal of Remote Sensing., Vol 21, No.16, pp. 3115-31.
7. Bridges, S., Hodges, J., Wooley, B., Karpovich, D. and Smith, G.B. (1999), "Knowledge Discovery in an Oceanographic Database", Applied Intelligence, 11, pp. 135-148.
8. Julian, K.(2000), "The TEX Method for Segmentation of Lungs from Chest CT Images by Textural Analysis of Sub-images", University of New South Wales, Department of Artificial Intelligence.
9. Haralick, R.M., Shanmugam, K. , Dinstenin I. (1973), "Texture Features for Image Classification", IEEE Transactions on System, Vol-SMC-3, No.6 Nor 1973, pp. 610-621.
10. Johnson, H. and Helferty, M.(1990), "The Geological Interpretation of Side-scan Sonar",Reviews of Geophysics, 28, 4/November 1990, pp. 357-380.
11. Marceau, D., Howarth, P.J. and Dubois, J.M. (1989), "Automated Texture Extraction from High Spatial Resolution Satellite Imagery for Land-Cover Classification", I. Geoscience and Remote Sensing Symposium, pp. 2765-2768.
12. Weszka, J. S., Dyer C. R., Rosenfeld, A.(1976), "A Comparative Study of Texture Measures for Terrain Classification," IEEE Trans. on Syst., Man and Cybern., SMC, 6(4), pp. 269-285.
13. Alireza K. and Orlando J.H. (2002), "Color Image Retrieval Using Multispectral Random Field Texture Method", Department of Electrical Engineering, Southern Methodist University, Dallas, Texas 75275.
14. Campbell, J. B.(2002) "Introduction to Remote Sensing, 3rd ed", The Guilford Press, pp. 621.
15. Chellappa, R. and Kashyap, R. L. (1985), "Texture Synthesis Using 2-D Noncansal Autoregressive Models", IEEE Tran. ASSP, 33(1), pp. 194-203.
16. Conners, R. M., Harlow, C. A. (1980), "Toward a structural Textureal Analyzer Based on Statistical Method", Computer Graphies and Image Processing Vol.12, pp. 224-256.
17. Ehrich, R. W. and Foith, J. P. (1978), "A View of Texture Tepology and Texture Description", Computer Graphics and Image Processing, Vol.8, pp. 174-202.
18. Wikantika, K., Harto, A. B., Tateishi, R., Wihartini, J. Tetuko S. S., Park, J. H.(2000), "An Investigation of Textual Characteristics Associated with Spectral Information for Land Use Classification," International Geoscience and Remote Sensing Symposium, pp. 2915-2917.