In:
Journal of Marine Science and Engineering, MDPI AG, Vol. 9, No. 12 ( 2021-12-10), p. 1408-
Abstract:
The ocean connects all continents and is an important space for human activities. Ship detection with electro-optical images has shown great potential due to the abundant imaging spectrum and, hence, strongly supports human activities in the ocean. A suitable imaging spectrum can obtain effective images in complex marine environments, which is the premise of ship detection. This paper provides an overview of ship detection methods with electro-optical images in marine environments. Ship detection methods with sea–sky backgrounds include traditional and deep learning methods. Traditional ship detection methods comprise the following steps: preprocessing, sea–sky line (SSL) detection, region of interest (ROI) extraction, and identification. The use of deep learning is promising in ship detection; however, it requires a large amount of labeled data to build a robust model, and its targeted optimization for ship detection in marine environments is not sufficient.
Type of Medium:
Online Resource
ISSN:
2077-1312
Language:
English
Publisher:
MDPI AG
Publication Date:
2021
detail.hit.zdb_id:
2738390-8