Automatic Seagrass Disturbance Pattern Identification on Sonar Images

IEEE Journal of Oceanic Engineering

Volumn 44, Issue 1, 2019, Pages 132-141

  Rahnemoonfar, Maryam ^a   Rahman, Abdullah F ^b   Kline, Richard J ^b   Greene, Austin ^b  

^a TEXAS A AND M UNIVERSITY CORPUS CHRISTI   (United States)

^b UNIVERSITY OF TEXAS RIO GRANDE VALLEY   (United States)

Author keywords

Image analysis; image segmentation; morphological operations; sea floor; sonar

Indexed keywords

ACOUSTIC NOISE; ACOUSTICS; AERIAL PHOTOGRAPHY; ANTENNAS; BACKSCATTERING; ECOSYSTEMS; EQUALIZERS; FEATURE EXTRACTION; IMAGE ANALYSIS; LANDFORMS; MAPPING; MATHEMATICAL MORPHOLOGY; MATHEMATICAL TRANSFORMATIONS; PLANTS (BOTANY); SATELLITE IMAGERY; SONAR; TURBIDITY;

ADAPTIVE EQUALIZER; ADAPTIVE HISTOGRAM EQUALIZATION; ANTHROPOGENIC DISTURBANCE; HISTOGRAMS; MATHEMATICAL MORPHOLOGY FILTER; MORPHOLOGICAL OPERATIONS; MORPHOLOGY TRANSFORMATIONS; SEA FLOOR;

IMAGE SEGMENTATION;

EID: 85041642528     PISSN: 03649059     EISSN: None     Source Type: Journal    
DOI: 10.1109/JOE.2017.2780707     Document Type: Article

References (31)

1. H. K. Lotze et al., "Depletion, degradation, and recovery potential of estuaries and coastal seas, " Science, vol. 312, pp. 1806-1809, 2006.
2. M. Hossain, J. Bujang, M. Zakaria, and M. Hashim, "Assessment of landsat 7 scan line corrector-off data gap-filling methods for seagrass distribution mapping, " Int. J. Remote Sens., vol. 36, pp. 1188-1215, 2015.
3. A. G. Dekker, V. E. Brando, and J. M. Anstee, "Retrospective seagrass change detection in a shallow coastal tidal Australian lake, " Remote Sens. Environ., vol. 97, pp. 415-433, 2005.
4. H. Dierssen, A. Chlus, and B. Russell, "Hyperspectral discrimination of floating mats of seagrass wrack and the macroalgae sargassum in coastal waters of greater Florida Bay using airborne remote sensing, " Remote Sens. Environ., vol. 167, pp. 247-258, 2015.
5. V. Pasqualini et al., "Use of SPOT 5 for mapping seagrasses: An application to Posidonia Oceanica, " Remote Sens. Environ., vol. 94, pp. 39-45, 2005.
6. S. Phinn, C. Roelfsema, A. Dekker, V. Brando, and J. Anstee, "Mapping seagrass species, cover and biomass in shallow waters: An assessment of satellite multi-spectral and airborne hyper-spectral imaging systems in moreton bay (Australia), " Remote Sens. Environ., vol. 112, pp. 3413-3425, 2008.
7. C. M. Roelfsema et al., "Multi-temporal mapping of seagrass cover, species and biomass: A semi-automated object based image analysis approach, " Remote Sens. Environ., vol. 150, pp. 172-187, 2014.
8. C. C. Wabnitz, S. Andréfouët, D. Torres-Pulliza, F. E. Müller-Karger, and P. A. Kramer, "Regional-scale seagrass habitat mapping in the Wider Caribbean region using landsat sensors: Applications to conservation and ecology, " Remote Sens. Environ., vol. 112, pp. 3455-3467, 2008.
9. J. Hedley, B. Russell, K. Randolph, and H. Dierssen, "A physics-based method for the remote sensing of seagrasses, " Remote Sens. Environ., vol. 174, pp. 134-147, 2016.
10. M. Hossain, J. S. Bujang, M. Zakaria, and M. Hashim, "The application of remote sensing to seagrass ecosystems: an overview and future research prospects, " Int. J. Remote Sens., vol. 36, pp. 61-114, 2015.
11. B. M. Sabol, R. E. Melton, R. Chamberlain, P. Doering, and K. Haunert, "Evaluation of a digital echo sounder system for detection of submersed aquatic vegetation, " Estuaries Coasts, vol. 25, pp. 133-141, 2002.
12. T. Sagawa et al., "Technical Note. Mapping seagrass beds using IKONOS satellite image and side scan sonar measurements: A Japanese case study, " Int. J. Remote Sens., vol. 29, pp. 281-291, 2008.
13. M. Paul, A. Lefebvre, E. Manca, and C. L. Amos, "An acoustic method for the remote measurement of seagrass metrics, " Estuarine, Coastal Shelf Sci., vol. 93, pp. 68-79, 2011.
14. A. Lefebvre, C. Thompson, K. Collins, and C. Amos, "Use of a high-resolution profiling sonar and a towed video camera to map a Zostera marina bed, Solent, UK, " Estuarine, Coastal Shelf Sci., vol. 82, pp. 323-334, 2009.
15. G. De Falco, R. Tonielli, G. Di Martino, S. Innangi, S. Simeone, and I. M. Parnum, "Relationships between multibeam backscatter, sediment grain size and Posidonia Oceanica seagrass distribution, " Continental Shelf Res., vol. 30, pp. 1941-1950, 2010.
16. A. Greene, "Applications of side scan and parametric echosounders for mapping shallow seagrass habitats and their associated organic carbon, " M.S. thesis, Dept. Bio. Sci., School of Earth, Environ., Marine Sci., Univ. Texas Rio Grande Valley, Brownsville, TX, USA, 2017.
17. M. Mignotte, C. Collet, P. Perez, and P. Bouthemy, "Three-class Marko-vian segmentation of high-resolution sonar images, " Comput. Vis. Image Understanding, vol. 76, no. 3, pp. 191-204, 1999.
18. M. Mignotte, C. Collet, P. Perez, and P. Bouthemy, "Sonar image segmentation using an unsupervised hierarchical MRF model, " IEEE Trans. Image Process., vol. 9, no. 7, pp. 1216-1231, Jul. 2000.
19. M. Lianantonakis and Y. R. Petillot, "Sidescan sonar segmentation using active contours and level set methods, " presented at the OCEANS Eur. Conf., Brest, France, 2005.
20. W. Tian, "Automatic target detection and analyses in side-scan sonar imagery, " in Proc. WRI Global Congr. Intell. Syst., 2009, pp. 397-403.
21. X.-F. Ye, Z.-H. Zhang, P. X. Liu, and H.-L. Guan, "Sonar image segmentation based on GMRF and level-set models, " Ocean Eng., vol. 37, pp. 891-901, 2010.
22. J. T. Cobb, K. C. Slatton, and G. J. Dobeck, "A parametric model for characterizing seabed textures in synthetic aperture sonar images, " IEEE J. Ocean. Eng., vol. 35, no. 2, pp. 250-266, Apr. 2010.
23. F. A. Sadjadi, "Studies in adaptive automated underwater sonar mine detection and classification-Part 1: Exploitation methods, " Proc. SPIE, vol. 9476, 2015, Art. no. 94760K.
24. J. C. Isaacs, "Laplace-Beltrami eigenfunction metrics and geodesic shape distance features for shape matching in synthetic aperture sonar, " in Proc. IEEE Comput. Soc. Conf. Comput. Vis. Pattern Recogn. Workshops, 2011, pp. 14-20.
25. Z. Qu and L. Zhang, "Research on image segmentation based on the improved Otsu algorithm, " in Proc. 2nd Int. Conf. Intell. Human-Mach. Syst. Cybern., 2010, pp. 228-231.
26. R. C. Gonzalez and R. E. Woods, Digital Image Processing. Upper Saddle River, NJ, USA: Prentice-Hall, 2008.
27. Y. Wang, Q. Chen, and B. Zhang, "Image enhancement based on equal area dualistic sub-image histogram equalization method, " IEEE Trans. Consum. Electron., vol. 45, no. 1, pp. 68-75, Feb. 1999.
28. R. M. Haralick, S. R. Sternberg, and X. Zhuang, "Image analysis using mathematical morphology, " IEEE Trans. Pattern Anal. Mach, Intell., vol. PAMI-9, no. 4, pp. 532-550, Jul. 1987.
29. N. Otsu, "A threshold selection method from gray-level histograms, " Au-tomatica, vol. 11, pp. 23-27, 1975.
30. M. L. Quammen and C. P. Onuf, "Laguna madre: seagrass changes continue decades after salinity reduction, " Estuaries, vol. 16, pp. 302-310, 1993.
31. R. G. Congalton and K. Green, Assessing the Accuracy of Remotely Sensed Data: Principles and Practices. Boca Raton, FL, USA: CRC Press, 2008.