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Deep Learning based Vehicle Detection in Aerial Imagery

By:

Wilko Sommer, Lars [auth]

Material type: Article

ArticleLanguage: English Publication details: Karlsruhe KIT Scientific Publishing 2022Description: 1 electronic resource (276 p.)ISBN:

KSP/1000135415
9783731511137

Subject(s):

Online resources:

Summary: 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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Item type	Home library	Collection	Call number	Materials specified	Status	Date due	Barcode
Electronic-Books	OPJGU Sonepat- Campus	E-Books Open Access			Available

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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.

Creative Commons by-sa/4.0 cc http://creativecommons.org/licenses/by-sa/4.0

English

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