A Novel GAN-Based Anomaly Detection and Localization Method for Aerial Video Surveillance at Low Altitude

A Novel GAN-Based Anomaly Detection and Localization Method for Aerial Video Surveillance at Low Altitude

The last two decades have seen an incessant growth in the use of Unmanned Aerial Vehicles (UAVs) equipped with HD cameras for developing aerial vision-based systems to support civilian and military tasks, including land monitoring, change detection, and object classification. To perform most of thes...

Full description

Bibliographic Details
Main Authors: Danilo Avola, Irene Cannistraci, Marco Cascio, Luigi Cinque, Anxhelo Diko, Alessio Fagioli, Gian Luca Foresti, Romeo Lanzino, Maurizio Mancini, Alessio Mecca, Daniele Pannone
Format: Article
Language:English
Published: MDPI AG 2022-08-01
Series:Remote Sensing
Subjects:
UAVs
computer vision
anomaly detection
aerial images
low-altitude
UMCD dataset
Online Access:https://www.mdpi.com/2072-4292/14/16/4110

Internet

https://www.mdpi.com/2072-4292/14/16/4110

Similar Items