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Generating a hyperspectral digital surface model using a hyperspectral 2D frame camera
ISPRS Journal of Photogrammetry and Remote Sensing ( IF 12.7 ) Pub Date : 2018-12-08 , DOI: 10.1016/j.isprsjprs.2018.11.025
Raquel A. Oliveira , Antonio M.G. Tommaselli , Eija Honkavaara

Miniaturised 2D frame format hyperspectral camera technology that is suitable for small unmanned aerial vehicles (UAVs) has entered the market, making the generation of hyperspectral digital surface models (HDSMs) feasible. HDSMs offer a rigorous approach to capturing the target spectral and 3D geometric data. The main objective of this investigation was to study and develop techniques for the generation of HDSMs in forest areas using novel hyperspectral 2D frame camera technologies. An approach based on object-space image matching was developed, adapting the traditional vertical line locus (VLL) method for HDSM generation; this was then named the hyperspectral VLL (HVLL) approach. Additionally, image classification was introduced into the processing chain in order to adapt the matching parameters, based on different classes. We also proposed a method for extracting the spectral and viewing angle information of the points. An empirical study was carried out using UAV datasets from tropical and boreal forests using 2D format hyperspectral cameras, based on tuneable Fabry-Pérot interferometer (FPI) technology. Quality assessment was performed using DSMs based on state-of-the-art commercial software and airborne laser scanning (ALS). The results showed that the proposed technique generated a high-quality HDSM in both tested environments. The HDSM had higher deviations over the continuous canopy cover than the digital surface models (DSMs) generated using commercial software. The method using image classification information outperformed the commercial approach with respect to the ability to measure ground points in shadowed areas and in canopy gaps. The proposed method is of great interest in supporting automated interpretations of novel multi- and hyperspectral imaging technologies, especially when applied complex objects, such as forests.



中文翻译:

使用高光谱2D框架相机生成高光谱数字表面模型

适用于小型无人机(UAV)的小型化2D帧格式高光谱相机技术已经进入市场,这使得高光谱数字表面模型(HDSM)的生成变得可行。HDSM提供了一种严格的方法来捕获目标光谱和3D几何数据。这项研究的主要目的是研究和开发使用新颖的高光谱2D帧相机技术在森林地区生成HDSM的技术。开发了一种基于对象空间图像匹配的方法,将传统的垂直线轨迹(VLL)方法应用于HDSM生成;然后将其称为高光谱VLL(HVLL)方法。另外,图像分类被引入到处理链中,以基于不同的类别适应匹配的参数。我们还提出了一种提取点的光谱和视角信息的方法。基于可调谐Fabry-Pérot干涉仪(FPI)技术,使用2D格式的高光谱相机,使用热带和北方森林的无人机数据集进行了实证研究。使用基于最先进的商业软件和机载激光扫描(ALS)的DSM进行质量评估。结果表明,所提出的技术在两种测试环境中均生成了高质量的HDSM。与使用商业软件生成的数字表面模型(DSM)相比,HDSM在连续冠层覆盖上的偏差更大。就测量阴影区域和树冠间隙中的地面点的能力而言,使用图像分类信息的方法优于商业方法。

更新日期:2018-12-08
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