Deep Learning based Vehicle Detection in Aerial Imagery

Deep Learning based Vehicle Detection in Aerial Imagery

Deep Learning based Vehicle Detection in Aerial Imagery

by: Lars Wilko Sommer (Author)

Publisher: KIT Scientific Publishing

Publication Date: 2022-02-09

Language: English

Print Length: 276 pages

ISBN-10: 3731511134

ISBN-13: 9783731511137

Book Description

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.

Editorial Reviews

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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