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Unmanned Aerial Vehicle (UAV) operated spectral camera system for forest and agriculture applications

机译:无人驾驶飞行器(UAV)用于森林和农业应用的操作光谱相机系统

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VTT Technical Research Centre of Finland has developed a Fabry-Perot Interferometer (FPI) based hyperspectral imager compatible with the light weight UAV platforms. The concept of the hyperspectral imager has been published in the SPIE Proc. 7474 and 7668. In forest and agriculture applications the recording of multispectral images at a few wavelength bands is in most cases adequate. The possibility to calculate a digital elevation model of the forest area and crop fields provides means to estimate the biomass and perform forest inventory. The full UAS multispectral imaging system will consist of a high resolution false color imager and a FPI based hyperspectral imager which can be used at resolutions from VGA (480 X 640 pixels) up to 5 Mpix at wavelength range 500 - 900 nm at user selectable spectral resolutions in the range 10...40 nm @ FWHM. The resolution is determined by the order at which the Fabry-Perot interferometer is used. The overlap between successive images of the false color camera is 70... 80percent which makes it possible to calculate the digital elevation model of the target area. The field of view of the false color camera is typically 80 degrees and the ground pixel size at 150 m flying altitude is around 5 cm. The field of view of the hyperspectral imager is presently is 26 X 36 degrees and ground pixel size at 150 m flying altitude is around 3.5 cm. The UAS system has been tried in summer 2011 in Southern Finland for the forest and agricultural areas. During the first test campaigns the false color camera and hyperspectral imager were flown over the target areas at separate flights. The design and calibration of the hyperspectral imager will be shortly explained. The test flight campaigns on forest and crop fields and their preliminary results are also presented in this paper.
机译:芬兰VTT技术研究中心开发了一种基于Fabry-Perot干涉仪(FPI)的高光谱成像器,兼容轻质UAV平台。 Hyperspectral Imager的概念已在Spie Proc中发表。在森林和农业应用中,在森林和农业应用中,在几个波长带上的多光谱图像在大多数情况下足够。计算森林区域和裁剪领域的数字高度模型的可能性提供了估计生物量并执行森林库存的方法。完整的UAS多光谱成像系统将包括高分辨率假彩色成像器和基于FPI的高光谱成像器,其可以以VGA(480 x 640像素)的分辨率在用户可选择的光谱下以500-900nm处的波长范围为500mpix的分辨率使用10 ... 40 nm @ fwhm的分辨率。通过使用法布里 - 珀罗干涉仪的顺序确定分辨率。假彩色相机的连续图像之间的重叠是70 ...... 80%,这使得可以计算目标区域的数字高度模型。假彩色相机的视野通常为80度,并且在150米的飞行高度为5厘米处的地面像素尺寸。高光谱成像器的视野目前是26 x 36度,并且在150米的飞行高度为3.5厘米的地面像素尺寸。 UAS系统已在2011年夏季审判在芬兰南部的森林和农业领域。在第一次测试期间,假彩色相机和高光谱成像器在单独的航班上飞过目标区域。很快将不当解释高光谱成像器的设计和校准。本文还提出了关于森林和作物领域的试飞活动及其初步结果。

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