Small Object Detection in Remote Sensing Images with Residual Feature Aggregation-Based Super-Resolution and Object Detector Network

Small Object Detection in Remote Sensing Images with Residual Feature Aggregation-Based Super-Resolution and Object Detector Network

This paper deals with detecting small objects in remote sensing images from satellites or any aerial vehicle by utilizing the concept of image super-resolution for image resolution enhancement using a deep-learning-based detection method. This paper provides a rationale for image super-resolution fo...

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Bibliographic Details
Main Authors: Syed Muhammad Arsalan Bashir, Yi Wang
Format: Article
Language:English
Published: MDPI AG 2021-05-01
Series:Remote Sensing
Subjects:
object detection in satellite images
image classification
vehicle detection
remote sensing
deep learning
generative adversarial networks
Online Access:https://www.mdpi.com/2072-4292/13/9/1854

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