Optimizing Multiple Kernel Learning for the Classification of UAV Data

Optimizing Multiple Kernel Learning for the Classification of UAV Data

Unmanned Aerial Vehicles (UAVs) are capable of providing high-quality orthoimagery and 3D information in the form of point clouds at a relatively low cost. Their increasing popularity stresses the necessity of understanding which algorithms are especially suited for processing the data obtained from...

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Bibliographic Details
Main Authors: Caroline M. Gevaert, Claudio Persello, George Vosselman
Format: Article
Language:English
Published: MDPI AG 2016-12-01
Series:Remote Sensing
Subjects:
Unmanned Aerial Vehicles (UAVs)
Support Vector Machines (SVMs)
Multiple Kernel Learning (MKL)
informal settlements
image classification
Online Access:http://www.mdpi.com/2072-4292/8/12/1025

Internet

http://www.mdpi.com/2072-4292/8/12/1025

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