التفاصيل البيبلوغرافية
| العنوان: |
Bottom Tracking Method Based on LOG/Canny and the Threshold Method for Side-scan Sonar. |
| المؤلفون: |
Shengping Wang, Hongtao Li, Xiaoyu Li, Jiansong Yang, Quanhong Feng |
| المصدر: |
Journal of Engineering Science & Technology Review; 2019, Vol. 12 Issue 6, p134-141, 8p |
| مصطلحات موضوعية: |
ARTIFICIAL satellite tracking, SONAR, SONAR imaging |
| مصطلحات جغرافية: |
SHENZHEN (Guangdong Sheng, China : East) |
| مستخلص: |
The detection of sea bottom lines is affected by the noise in the water column between the towfish and the seabed. Under these circumstances, using one edge detection technology to detect the bottom line accurately is difficult. A fusion method based on LOG/Canny operator and the threshold approach was proposed in this study to determine sea bottom lines in sonar images accurately. With this method, images filtered by the LOG function and sharpened by a convolution template were utilized as the input images of the Canny detection algorithm to implement bottom tracking. The tracking result was fused with that of the threshold method to obtain merged submarine lines. Interpolation and filtration were subsequently implemented to eliminate outliers. The result was then used to accurately detect sea bottom lines. The measured height and depth were compared using a single-beam depthometer. Results demonstrate that the bottom line is difficult to accurately detect by using only edge detection technologies, such as LOG and Canny, or the threshold method under complex situations in the water column. By contrast, the proposed fusion method can perform detection accurately. Take Mirs Bay of the Shenzhen city as an example, the mean square error of tracking accuracy is determined to be ±0.192 m, which verifies the feasibility of the proposed method. This study provides a reference for the accurate detection of submarine lines in complex conditions wherein large amounts of noise exist in the water column. [ABSTRACT FROM AUTHOR] |
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| قاعدة البيانات: |
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