Abstract
To solve the false terrain problem caused by the tunnel effect in the conventional multibeam seafloor terrain detection, a detection method of multibeam seafloor terrain based on the ADOS-CFAR (Amplitude Dichotomy Order-Statistics Constant False Alarm Rate) is developed. This paper first discusses the principles and existing problems of the OS-CFAR and K-FINDER algorithms and then suggests the ADOS-CFAR algorithm and its fast calculation method for those problems. By adopting this algorithm into the detection method of multibeam seafloor terrain and carrying out the simulation study on the computational load of the ADOS-CFAR, it is shown that this method has a lower computational load on the premise of ensuring the detection performance. Finally, the proposed algorithm is analyzed and verified through the test data in Songhua Lake. The result indicates that this method can effectively avoid the false terrain caused by tunnel effect with higher terrain detection accuracy.
Highlights
The multibeam echo sonar is one of the widely used marine surveying and mapping instruments at present
The multibeam seafloor terrain detection technology plays an important role in the multibeam detection technologies; its robustness is directly related to the reliability of the detection results
The research focus of the multibeam echo sonar technology has been updated from the conventional technology to pursuing a wide swath width [1] and better robustness [2,3,4,5]; more attention has been paid to the effectiveness and authenticity of the detection results
Summary
The multibeam echo sonar is one of the widely used marine surveying and mapping instruments at present. The OS-CFAR has been applied into multibeam underwater target and seafloor terrain detections with a good capability of detecting marine multitarget [10], it is difficult to be applied in practical applications due to its complex calculation and low terrain detection accuracy while effectually removing tunnel effect. In order to realize better constant false alarm detection, the unified threshold has to be extracted from hundreds of beams in every sampling, and the redundant information of the sliding window cannot be used. Aiming at these problems, we propose the ADOS-CFAR method and apply it to multibeam seafloor terrain detection in order to improve the accuracy of terrain detection in the premise of eliminating tunnel effect. The computational load of ADOS-CFAR is simulated and researched, and the experimental data is validated and analyzed in Songhua Lake
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