Air Reconnaissance Analysis using Convolutional Neural Network-based Object Detection

Air Reconnaissance Analysis using Convolutional Neural Network-based Object Detection

The Swedish armed forces use the Single Source Intelligent Cell (SSIC), developed by Saab, for analysis of aerial reconnaissance video and report generation. The analysis can be time-consuming and demanding for a human operator. In the analysis workflow, identifying vehicles is an important part of...

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Bibliographic Details
Main Authors: Fasth, Niklas, Hallblad, Rasmus
Format: Others
Language:English
Published: Mälardalens högskola, Akademin för innovation, design och teknik 2020
Subjects:
Deep Learning
Object detection
Convolutional neural network
Faster R-CNN
Single Shot MultiBox Detector
Aerial images
Data annotation
Engineering and Technology
Teknik och teknologier
Online Access:http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-48422

Internet

http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-48422

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