Environment Classification for Unmanned Aerial Vehicle Using Convolutional Neural Networks

Environment Classification for Unmanned Aerial Vehicle Using Convolutional Neural Networks

Environment classification is one of the most critical tasks for Unmanned Aerial Vehicles (UAV). Since water accumulation may destabilize UAV, clouds must be detected and avoided. In a previous work presented by the authors, Superpixel Segmentation (SPS) descriptors with low computational cost are u...

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Bibliographic Details
Main Authors: Carlos Villaseñor, Alberto A. Gallegos, Javier Gomez-Avila, Gehová López-González, Jorge D. Rios, Nancy Arana-Daniel
Format: Article
Language:English
Published: MDPI AG 2020-07-01
Series:Applied Sciences
Subjects:
cloud detection
superpixel segmentation
convolutional neural networks
support vector machines
Online Access:https://www.mdpi.com/2076-3417/10/14/4991

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https://www.mdpi.com/2076-3417/10/14/4991

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