Automatic Detection of Trawl-Marks in Sidescan Sonar Images through Spatial Domain Filtering, Employing Haar-Like Features and Morphological Operations

Automatic Detection of Trawl-Marks in Sidescan Sonar Images through Spatial Domain Filtering, Employing Haar-Like Features and Morphological Operations

Bottom trawl footprints are a prominent environmental impact of deep-sea fishery that was revealed through the evolution of underwater remote sensing technologies. Image processing techniques have been widely applied in acoustic remote sensing, but accurate trawl-mark (TM) detection is underdevelope...

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Bibliographic Details
Main Authors: Charikleia Gournia, Elias Fakiris, Maria Geraga, David P. Williams, George Papatheodorou
Format: Article
Language:English
Published: MDPI AG 2019-05-01
Series:Geosciences
Subjects:
trawl-marks
fishing grounds
sidescan sonar
automatic detection
Haar-like features
morphological operations
seafloor characterization
Online Access:https://www.mdpi.com/2076-3263/9/5/214

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https://www.mdpi.com/2076-3263/9/5/214

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