Ship Detection Based on YOLOv2 for SAR Imagery

Ship Detection Based on YOLOv2 for SAR Imagery

Synthetic aperture radar (SAR) imagery has been used as a promising data source for monitoring maritime activities, and its application for oil and ship detection has been the focus of many previous research studies. Many object detection methods ranging from traditional to deep learning approaches...

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Bibliographic Details
Main Authors: Yang-Lang Chang, Amare Anagaw, Lena Chang, Yi Chun Wang, Chih-Yu Hsiao, Wei-Hong Lee
Format: Article
Language:English
Published: MDPI AG 2019-04-01
Series:Remote Sensing
Subjects:
synthetic aperture radar (SAR) images
ship detection
YOLOv2
faster R-CNN
YOLOv2-reduced
high performance computing
Online Access:https://www.mdpi.com/2072-4292/11/7/786

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