Deep Learning based Vehicle Detection in Aerial Imagery

• Autore: Wilko Sommer Lars
• Pubblicazione: Karlsruhe, : KIT Scientific Publishing, 2022
• Descrizione fisica: 1 electronic resource (276 p.)
• Soggetto topico: Maths for computer scientists
• Soggetto non controllato: Objektdetektion; Neuronale Netze; Luftbilddaten; Object Detection; Deep Learning; Aerial Imagery
• Sommario/riassunto: 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.
• Titolo autorizzato: Deep Learning based Vehicle Detection in Aerial Imagery
• ISBN: 1000135415
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910548274803321
• Lo trovi qui: Univ. Federico II