Abstract
Abstract. Light-weight hyperspectral frame cameras represent novel developments in remote sensing technology. With frame camera technology, when capturing images with stereoscopic overlaps, it is possible to derive 3D hyperspectral reflectance information and 3D geometric data of targets of interest, which enables detailed geometric and radiometric characterization of the object. These technologies are expected to provide efficient tools in various environmental remote sensing applications, such as canopy classification, canopy stress analysis, precision agriculture, and urban material classification. Furthermore, these data sets enable advanced quantitative, physical based retrieval of biophysical and biochemical parameters by model inversion technologies. Objective of this investigation was to study the aspects of capturing hyperspectral reflectance data from unmanned airborne vehicle (UAV) and terrestrial platform with novel hyperspectral frame cameras in complex, forested environment.
Highlights
Recent progress in miniturized hyperspectral imaging technology has provided the markets with hyperspectral cameras operating with frame imaging principle (Mäkynen et al, 2011; Saari et al, 2011; Honkavaara et al, 2013; Aasen et al, 2015)
Novel hyperspectral imaging technology based on a variable air gap Fabry-Perot interferometer (FPI) was used in this investigation
The modern computer vision and photogrammetric techniques based on structure-from-motion image orientation techniques (Wu et al, 2013) and dense digital matching generating accurate 3D point clouds and digital surface models (DSM) (Leberl et al, 2010) offer efficient tools to process the data sets
Summary
Recent progress in miniturized hyperspectral imaging technology has provided the markets with hyperspectral cameras operating with frame imaging principle (Mäkynen et al, 2011; Saari et al, 2011; Honkavaara et al, 2013; Aasen et al, 2015). With frame camera technology it is possible to derive 3D hyperspectral reflectance point clouds and 3D geometric data of targets of interest, when capturing images with stereoscopic overlaps. This will allow detailed geometric and radiometric characterization of the object. The FPI technology makes it possible to manufacture lightweight, frame format hyperspectral imager operating in the time-sequential principle. The first prototypes of the FPI-based cameras were operating in the visible to nearinfrared spectral range (500-900 nm; VNIR) (Saari et al, 2011; Mäkynen et al, 2011; Honkavaara et al, 2013). The modern computer vision and photogrammetric techniques based on structure-from-motion image orientation techniques (Wu et al, 2013) and dense digital matching generating accurate 3D point clouds and digital surface models (DSM) (Leberl et al, 2010) offer efficient tools to process the data sets
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