Explore
Deep Learning based Vehicle Detection in Aerial Imagery
Lars Wilko Sommer
2022
0 Ungluers have
Faved this Work
Login to Fave
This book proposes a novel deep learning based detection method, focusing on vehicle detection in aerial imagery recorded in top view. The base detection framework is extended by two novel components to improve the detection accuracy by enhancing the contextual and semantical content of the employed feature representation. To reduce the inference time, a lightweight CNN architecture is proposed as base architecture and a novel module that restricts the search area is introduced.
This book is included in DOAB.
Why read this book? Have your say.
You must be logged in to comment.
Rights Information
Are you the author or publisher of this work? If so, you can claim it as yours by registering as an Unglue.it rights holder.Downloads
This work has been downloaded 46 times via unglue.it ebook links.
- 46 - pdf (CC BY-SA) at OAPEN Library.
Keywords
- aerial imagery
- Computer science
- Computing & information technology
- deep learning
- Luftbilddaten
- Mathematical theory of computation
- Maths for computer scientists
- Neuronale Netze
- object detection
- Objektdetektion
- thema EDItEUR::U Computing and Information Technology::UY Computer science::UYA Mathematical theory of computation::UYAM Maths for computer scientists
Links
DOI: 10.5445/KSP/1000135415Editions