TY - JOUR A1 - Brell, Maximilian A1 - Segl, Karl A1 - Guanter, Luis A1 - Bookhagen, Bodo T1 - 3D hyperspectral point cloud generation BT - Fusing airborne laser scanning and hyperspectral imaging sensors for improved object-based information extraction JF - ISPRS journal of photogrammetry and remote sensing : official publication of the International Society for Photogrammetry and Remote Sensing N2 - Remote Sensing technologies allow to map biophysical, biochemical, and earth surface parameters of the land surface. Of especial interest for various applications in environmental and urban sciences is the combination of spectral and 3D elevation information. However, those two data streams are provided separately by different instruments, namely airborne laser scanner (ALS) for elevation and a hyperspectral imager (HSI) for high spectral resolution data. The fusion of ALS and HSI data can thus lead to a single data entity consistently featuring rich structural and spectral information. In this study, we present the application of fusing the first pulse return information from ALS data at a sub-decimeter spatial resolution with the lower-spatial resolution hyperspectral information available from the HSI into a hyperspectral point cloud (HSPC). During the processing, a plausible hyperspectral spectrum is assigned to every first-return ALS point. We show that the complementary implementation of spectral and 3D information at the point-cloud scale improves object-based classification and information extraction schemes. This improvements have great potential for numerous land cover mapping and environmental applications. KW - Lidar KW - Multispectral point cloud KW - Laser return intensity KW - Unmixing KW - Sharpening KW - Imaging spectroscopy KW - In-flight KW - Pixel level KW - Sensor fusion KW - Data fusion KW - Preprocessing KW - Point cloud segmentation KW - Semantic labeling Y1 - 2019 U6 - https://doi.org/10.1016/j.isprsjprs.2019.01.022 SN - 0924-2716 SN - 1872-8235 VL - 149 SP - 200 EP - 214 PB - Elsevier CY - Amsterdam ER - TY - JOUR A1 - Zude, Manuela A1 - Pflanz, Michael A1 - Spinelli, Lorenzo A1 - Dosche, Carsten A1 - Torricelli, Alessandro T1 - Non-destructive analysis of anthocyanins in cherries by means of Lambert-Beer and multivariate regression based on spectroscopy and scatter correction using time-resolved analysis JF - Journal of food engineering N2 - In high-value sweet cherry (Prunus avium), the red coloration - determined by the anthocyanins content - is correlated with the fruit ripeness stage and market value. Non-destructive spectroscopy has been introduced in practice and may be utilized as a tool to assess the fruit pigments in the supply chain processes. From the fruit spectrum in the visible (Vis) wavelength range, the pigment contents are analyzed separately at their specific absorbance wavelengths. A drawback of the method is the need for re-calibration due to varying optical properties of the fruit tissue. In order to correct for the scattering differences, most often the spectral intensity in the visible spectrum is normalized by wavelengths in the near infrared (NIR) range, or pre-processing methods are applied in multivariate calibrations. In the present study, the influence of the fruit scattering properties on the Vis/NIR fruit spectrum were corrected by the effective pathlength in the fruit tissue obtained from time-resolved readings of the distribution of time-of-flight (DTOF). Pigment analysis was carried out according to Lambert-Beer law, considering fruit spectral intensities, effective pathlength, and refractive index. Results were compared to commonly applied linear color and multivariate partial least squares (PLS) regression analysis. The approaches were validated on fruits at different ripeness stages, providing variation in the scattering coefficient and refractive index exceeding the calibration sample set. In the validation, the measuring uncertainty of non-destructively analyzing fruits with Vis/NIR spectra by means of PLS or Lambert-Beer in comparison with combined application of Vis/NIR spectroscopy and DTOF measurements showed a dramatic bias reduction as well as enhanced coefficients of determination when using both, the spectral intensities and apparent information on the scattering influence by means of DTOF readings. Corrections for the refractive index did not render improved results. KW - Cherry KW - DTOF KW - Effective pathlength KW - Fruit maturity KW - Lambert-Beer KW - NIR KW - Non-invasive KW - Pigments KW - PLS KW - Ripeness KW - Sensor fusion KW - Spectroscopy KW - Time-resolved spectroscopy KW - TIRF KW - Vis KW - Scattering Y1 - 2011 U6 - https://doi.org/10.1016/j.jfoodeng.2010.09.021 SN - 0260-8774 VL - 103 IS - 1 SP - 68 EP - 75 PB - Elsevier CY - Oxford ER -