Automatic Annotation of Hyperspectral Images and Spectral Signal Classification of People and Vehicles in Areas of Dense Vegetation with Deep Learning

Automatic Annotation of Hyperspectral Images and Spectral Signal Classification of People and Vehicles in Areas of Dense Vegetation with Deep Learning

Despite recent advances in image and video processing, the detection of people or cars in areas of dense vegetation is still challenging due to landscape, illumination changes and strong occlusion. In this paper, we address this problem with the use of a hyperspectral camera—installed on the ground...

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Bibliographic Details
Main Authors: Adam Papp, Julian Pegoraro, Daniel Bauer, Philip Taupe, Christoph Wiesmeyr, Andreas Kriechbaum-Zabini
Format: Article
Language:English
Published: MDPI AG 2020-07-01
Series:Remote Sensing
Subjects:
hyperspectral imaging
deep learning
computer vision
automatic annotation
Online Access:https://www.mdpi.com/2072-4292/12/13/2111

Internet

https://www.mdpi.com/2072-4292/12/13/2111

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