Ship Detection under Complex Backgrounds Based on Accurate Rotated Anchor Boxes from Paired Semantic Segmentation

Ship Detection under Complex Backgrounds Based on Accurate Rotated Anchor Boxes from Paired Semantic Segmentation

It is still challenging to effectively detect ship objects in optical remote-sensing images with complex backgrounds. Many current CNN-based one-stage and two-stage detection methods usually first predefine a series of anchors with various scales, aspect ratios and angles, and then the detection res...

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Bibliographic Details
Main Authors: Xiaowu Xiao, Zhiqiang Zhou, Bo Wang, Linhao Li, Lingjuan Miao
Format: Article
Language:English
Published: MDPI AG 2019-10-01
Series:Remote Sensing
Subjects:
convolutional neural networks
paired semantic segmentation
ship detection
magnified convolutional features
context information
Online Access:https://www.mdpi.com/2072-4292/11/21/2506

Internet

https://www.mdpi.com/2072-4292/11/21/2506

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