Object Detection in Very High-Resolution Aerial Images Using One-Stage Densely Connected Feature Pyramid Network

Object Detection in Very High-Resolution Aerial Images Using One-Stage Densely Connected Feature Pyramid Network

Object detection in very high-resolution (VHR) aerial images is an essential step for a wide range of applications such as military applications, urban planning, and environmental management. Still, it is a challenging task due to the different scales and appearances of the objects. On the other han...

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Bibliographic Details
Main Authors: Hilal Tayara, Kil To Chong
Format: Article
Language:English
Published: MDPI AG 2018-10-01
Series:Sensors
Subjects:
Aerial images
convolution neural network (CNN)
deep learning
feature pyramid network
focal loss
object detection
Online Access:http://www.mdpi.com/1424-8220/18/10/3341

Internet

http://www.mdpi.com/1424-8220/18/10/3341

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