Automated Ortho-Rectification of UAV-Based Hyperspectral Data over an Agricultural Field Using Frame RGB Imagery

Automated Ortho-Rectification of UAV-Based Hyperspectral Data over an Agricultural Field Using Frame RGB Imagery

Low-cost Unmanned Airborne Vehicles (UAVs) equipped with consumer-grade imaging systems have emerged as a potential remote sensing platform that could satisfy the needs of a wide range of civilian applications. Among these applications, UAV-based agricultural mapping and monitoring have attracted si...

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Bibliographic Details
Main Authors: Ayman Habib, Youkyung Han, Weifeng Xiong, Fangning He, Zhou Zhang, Melba Crawford
Format: Article
Language:English
Published: MDPI AG 2016-09-01
Series:Remote Sensing
Subjects:
automated image registration
ortho-rectification
hyperspectral push-broom scanners
phenotyping
SURF
UAV-based agricultural management
Online Access:http://www.mdpi.com/2072-4292/8/10/796

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http://www.mdpi.com/2072-4292/8/10/796

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