End-to-End Airport Detection in Remote Sensing Images Combining Cascade Region Proposal Networks and Multi-Threshold Detection Networks

End-to-End Airport Detection in Remote Sensing Images Combining Cascade Region Proposal Networks and Multi-Threshold Detection Networks

Fast and accurate airport detection in remote sensing images is important for many military and civilian applications. However, traditional airport detection methods have low detection rates, high false alarm rates and slow speeds. Due to the power convolutional neural networks in object-detection s...

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Bibliographic Details
Main Authors: Yuelei Xu, Mingming Zhu, Shuai Li, Hongxiao Feng, Shiping Ma, Jun Che
Format: Article
Language:English
Published: MDPI AG 2018-09-01
Series:Remote Sensing
Subjects:
airport detection
remote sensing images
region-based convolutional neural networks
divide and conquer
integral loss
hard example mining
Online Access:http://www.mdpi.com/2072-4292/10/10/1516

Internet

http://www.mdpi.com/2072-4292/10/10/1516

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