بینایی ماشین - Machine vision
عنوان انگلیسی مقاله:
Survey on deep learning based computer vision for sonar imagery
ترجمه فارسی عنوان مقاله:
مروری بر بینایی کامپیوتری مبتنی بر یادگیری عمیق برای تصاویر سونار
ScienceDirect- Elsevier- Engineering Applications of Artificial Intelligence, 114 (2022) 105157: doi:10:1016/j:engappai:2022:105157
Research on the automatic analysis of sonar images has focused on classical, i.e. non deep learning based,
approaches for a long time. Over the past 15 years, however, the application of deep learning in this research
field has constantly grown. This paper gives a broad overview of past and current research involving deep
learning for feature extraction, classification, detection and segmentation of sidescan and synthetic aperture
sonar imagery. Most research in this field has been directed towards the investigation of convolutional neural
networks (CNN) for feature extraction and classification tasks, with the result that even small CNNs with up
to four layers outperform conventional methods.
The purpose of this work is twofold. On one hand, due to the quick development of deep learning it serves as an introduction for researchers, either just starting their work in this specific field or working on classical methods for the past years, and helps them to learn about the recent achievements. On the other hand, our main goal is to guide further research in this field by identifying main research gaps to bridge. We propose to leverage the research in this field by combining available data into an open source dataset as well as carrying out comparative studies on developed deep learning methods.
keywords: یادگیری عمیق | تصویربرداری سوناری | کامپیوتری | تشخیص خودکار هدف | Statusquoreview | Deeplearning | Sonarimagery | Computervision | Automatictargetrecognition | Statusquoreview
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