Shipwreck identification with side scan sonar image based on fractal texture

DONG Lingyu; SHAN Rui; LIU Huimin; YU Deshui; DU Kai

doi:10.16562/j.cnki.0256-1492.2020070301

Marine Geology & Quaternary Geology > 2021 > 41(4): 232-239. > DOI: 10.16562/j.cnki.0256-1492.2020070301

DONG Lingyu, SHAN Rui, LIU Huimin, YU Deshui, DU Kai. Shipwreck identification with side scan sonar image based on fractal texture[J]. Marine Geology & Quaternary Geology, 2021, 41(4): 232-239. DOI: 10.16562/j.cnki.0256-1492.2020070301

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Shipwreck identification with side scan sonar image based on fractal texture

DONG Lingyu^1,2,,
SHAN Rui^1,2, ,,
LIU Huimin^1,2,
YU Deshui^1,2,
DU Kai^1,2

1.
Qingdao Institute of Marine Geology, CGS, Qingdao 266071, China
2.
Laboratory for Marine Mineral Resources, Qingdao National Laboratory for Marine Science and Technology, Qingdao 266071, China

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Received Date: July 02, 2020
Revised Date: August 18, 2020
Available Online: October 28, 2020

Graphical Abstract

Abstract

Abstract

In order to improve the accuracy and efficiency for recognition of underwater targets, fractal texture features including box dimension, blanket dimension and multifractal spectrum are calculated by texture feature extraction algorithm with side scan sonar images, and the shipwreck identification procedure based on Adaboost cascade classifier is constructed. The shipwreck recognition experiments have been carried out, and the results are compared. Research shows that the recognition method based on fractal texture features comprehensively considers the global and local texture features of the image, and does not rely on manual selection of threshold parameters and feature vectors, which can improve the accuracy and efficiency of target recognition.
- shipwreck identification,
- texture feature,
- box dimension,
- blanket dimension,
- multifractal spectrum

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References (27)

References

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Shipwreck identification with side scan sonar image based on fractal texture