Applying Deep Learning to Automate UAV-Based Detection of Scatterable Landmines
Recent advances in unmanned-aerial-vehicle- (UAV-) based remote sensing utilizing lightweight multispectral and thermal infrared sensors allow for rapid wide-area landmine contamination detection and mapping surveys. We present results of a study focused on developing and testing an automated techni...
Main Authors: | Jasper Baur, Gabriel Steinberg, Alex Nikulin, Kenneth Chiu, Timothy S. de Smet |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2020-03-01
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Series: | Remote Sensing |
Subjects: | |
Online Access: | https://www.mdpi.com/2072-4292/12/5/859 |
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