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低成本实验室和野外高光谱成像系统的空间失真评估。

Spatial Distortion Assessments of a Low-Cost Laboratory and Field Hyperspectral Imaging System.

机构信息

Faculty of Geodesy, University of Zagreb, 10000 Zagreb, Croatia.

Faculty of Civil Engineering, Architecture and Geodesy, University of Split, 21000 Split, Croatia.

出版信息

Sensors (Basel). 2019 Oct 1;19(19):4267. doi: 10.3390/s19194267.

Abstract

This article describes the adaptation of an existing aerial hyperspectral imaging system in a low-cost setup for collecting hyperspectral data in laboratory and field environment and spatial distortion assessments. The imaging spectrometer system consists of an ImSpector V9 hyperspectral pushbroom scanner, PixelFly high performance digital CCD camera, and a subsystem for navigation, position determination and orientation of the system in space, a sensor bracket and control system. The main objective of the paper is to present the system, with all its limitations, and a spatial calibration method. The results of spatial calibration and calculation of modulation transfer function (MTF) are reported along with examples of images collected and potential uses in agronomy. The distortion value rises drastically at the edges of the image in the near-infrared segment, while the results of MTF calculation showed that the image sharpness was equal for the bands from the visible part of the spectrum, and approached Nyquist's theory of digitalization. In the near-infrared part of the spectrum, the MTF values showed a less sharp decrease in comparison with the visible part. Preliminary image acquisition indicates that this hyperspectral system has potential in agronomic applications.

摘要

本文介绍了一种现有的航空高光谱成像系统的适应性,该系统采用低成本设置,用于在实验室和野外环境中收集高光谱数据,并评估空间变形。成像光谱仪系统由 ImSpector V9 高光谱推扫式扫描仪、PixelFly 高性能数字 CCD 相机以及用于导航、确定系统在空间中的位置和方向的子系统、传感器支架和控制系统组成。本文的主要目的是介绍该系统及其所有限制,并介绍一种空间校准方法。报告了空间校准和调制传递函数 (MTF) 计算的结果,并展示了采集的图像示例及其在农学中的潜在用途。在近红外段,图像边缘的失真值急剧上升,而 MTF 计算结果表明,从光谱可见部分的波段到接近奈奎斯特数字化理论的波段,图像清晰度相等。在光谱的近红外部分,MTF 值的下降幅度与可见部分相比要小。初步的图像采集表明,该高光谱系统在农学应用中有潜力。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/80df/6806291/43f401c5dad5/sensors-19-04267-g001.jpg

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