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Remote Sens. 2017, 9(6), 512; doi:10.3390/rs9060512

Integrated System for Auto-Registered Hyperspectral and 3D Structure Measurement at the Point Scale

1
School of Instrumentation Science and Opto-electronics Engineering, Beihang University, Beijing 100191, China
2
Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100094, China
*
Author to whom correspondence should be addressed.
Academic Editors: Guijun Yang, Zhenhong Li, Lenio Soares Galvao and Prasad S. Thenkabail
Received: 2 March 2017 / Revised: 9 May 2017 / Accepted: 21 May 2017 / Published: 23 May 2017
(This article belongs to the Special Issue Earth Observations for Precision Farming in China (EO4PFiC))
View Full-Text   |   Download PDF [7793 KB, uploaded 23 May 2017]   |  

Abstract

Hyperspectral and 3D structure measurement are among the active research areas of remote sensing in recent years. The combination of these two kinds of information can provide improved outcomes distinctly, which is widely used in vegetation physiology, precision agriculture and radiative transfer modeling. However, the registration and synchronization has been overlooked in data acquisition. The mismatched characteristics have limited the potential application of the hyperspectral and 3D structure data as a complete data set. This paper proposes a laboratory prototype which can integrate the hyperspectral and 3D structure measurement at the point scale. The prism dispersion and laser triangulation ranging are performed in a common optical path as a result of the coplanar design of the critical optical devices. The hyperspectral data and depth data of the same object point are acquired from the same focal plane, which makes the data auto-registered spatially and temporally. Test experiment verifies the accuracy of the data provided by the prototype and the actual measurement experiment demonstrates the feasibility of the design in vegetation observation. View Full-Text
Keywords: hyperspectral measurement; 3D structure measurement; prism dispersion; laser triangulation ranging; registration hyperspectral measurement; 3D structure measurement; prism dispersion; laser triangulation ranging; registration
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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Zhao, H.; Shi, S.; Gu, X.; Jia, G.; Xu, L. Integrated System for Auto-Registered Hyperspectral and 3D Structure Measurement at the Point Scale. Remote Sens. 2017, 9, 512.

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