Automatic Ship Detection in Remote Sensing Images from Google Earth of Complex Scenes Based on Multiscale Rotation Dense Feature Pyramid Networks

Automatic Ship Detection in Remote Sensing Images from Google Earth of Complex Scenes Based on Multiscale Rotation Dense Feature Pyramid Networks

Ship detection has been playing a significant role in the field of remote sensing for a long time, but it is still full of challenges. The main limitations of traditional ship detection methods usually lie in the complexity of application scenarios, the difficulty of intensive object detection, and...

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Bibliographic Details
Main Authors: Xue Yang, Hao Sun, Kun Fu, Jirui Yang, Xian Sun, Menglong Yan, Zhi Guo
Format: Article
Language:English
Published: MDPI AG 2018-01-01
Series:Remote Sensing
Subjects:
remote sensing
convolution neural network
ship detection
high-level semantic
rotation region
multiscale detection networks
Online Access:http://www.mdpi.com/2072-4292/10/1/132

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