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Deep Learning based Vehicle Detection in Aerial Imagery
Lars Wilko Sommer
2022
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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.
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Keywords
- aerial imagery
- Computer science
- Computing & information technology
- deep learning
- Luftbilddaten
- Mathematical theory of computation
- Maths for computer scientists
- Neuronale Netze
- object detection
- Objektdetektion
Links
DOI: 10.5445/KSP/1000135415Editions