Small Object Detection in Remote Sensing Images Based on Super-Resolution with Auxiliary Generative Adversarial Networks

Small Object Detection in Remote Sensing Images Based on Super-Resolution with Auxiliary Generative Adversarial Networks

This article tackles the problem of detecting small objects in satellite or aerial remote sensing images by relying on super-resolution to increase image spatial resolution, thus the size and details of objects to be detected. We show how to improve the super-resolution framework starting from the l...

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Bibliographic Details
Main Authors: Luc Courtrai, Minh-Tan Pham, Sébastien Lefèvre
Format: Article
Language:English
Published: MDPI AG 2020-09-01
Series:Remote Sensing
Subjects:
small object detection
super-resolution
remote sensing
deep learning
generative adversarial network (GAN)
cycle GAN
Online Access:https://www.mdpi.com/2072-4292/12/19/3152

Internet

https://www.mdpi.com/2072-4292/12/19/3152

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