Small-Object Detection in Remote Sensing Images with End-to-End Edge-Enhanced GAN and Object Detector Network

Small-Object Detection in Remote Sensing Images with End-to-End Edge-Enhanced GAN and Object Detector Network

The detection performance of small objects in remote sensing images has not been satisfactory compared to large objects, especially in low-resolution and noisy images. A generative adversarial network (GAN)-based model called enhanced super-resolution GAN (ESRGAN) showed remarkable image enhancement...

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Bibliographic Details
Main Authors: Jakaria Rabbi, Nilanjan Ray, Matthias Schubert, Subir Chowdhury, Dennis Chao
Format: Article
Language:English
Published: MDPI AG 2020-05-01
Series:Remote Sensing
Subjects:
object detection
faster region-based convolutional neural network (FRCNN)
single-shot multibox detector (SSD)
super-resolution
remote sensing imagery
edge enhancement
Online Access:https://www.mdpi.com/2072-4292/12/9/1432

Internet

https://www.mdpi.com/2072-4292/12/9/1432

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