YAN Jun, ZHAO Jianhu, MENG Junxia, et al. A universal seabed classification method of multibeam and sidescan sonar images in consideration of radiometric distortion[J]. 2019, 51(5): 178-184.
DOI:
YAN Jun, ZHAO Jianhu, MENG Junxia, et al. A universal seabed classification method of multibeam and sidescan sonar images in consideration of radiometric distortion[J]. 2019, 51(5): 178-184.DOI: 10.11918/j.issn.0367-6234.201804172.
A universal seabed classification method of multibeam and sidescan sonar images in consideration of radiometric distortion
Acoustic seabed classification is significant for the study of the seabed environment and the ecosystem
in which multibeam and sidescan sonars are the most common sonar equipment. However
multibeam and sidescan sonars are both largely affected by radiometric distortion
which makes the noise of the sonar image too big to be eliminated and the seabed sediment misinterpreted. Moreover
the universal seabed classification methods for multibeam and sidescan sonars are still deficient. Therefore
this paper proposes a universal seabed classification method of multibeam and sidescan sonars in consideration of radiation distortion. Steps of the method include correction of radiometric distortion
normalization of both mulitbeam and sidescan sonars data
adaptive unsupervised seabed classification
and morphological image denoising. A complete universal seafloor classification procedure was also presented. The proposed method was applied to the same water area in Fujian Coast
where multibeam and sidescan sonars data were both measured and the seabed classification results of the water area were obtained. Experimental results show that the seabed classification results processed from multibeam and sidescan data in the same water area were in high consistency
which verifies the validity of the universal seabed classification method and improves the reliability of the classification results through mutual verification.