کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
556109 | 1451310 | 2011 | 5 صفحه PDF | دانلود رایگان |
![عکس صفحه اول مقاله: Demonstration of a virtual active hyperspectral LiDAR in automated point cloud classification Demonstration of a virtual active hyperspectral LiDAR in automated point cloud classification](/preview/png/556109.png)
In this paper, a measurement system for the acquisition of a virtual hyperspectral LiDAR dataset is presented. As commercial hyperspectral LiDARs are not yet available, the system provides a novel type of data for the testing and developing of future hyperspectral LiDAR algorithms. The measurement system consists of two parts: first, backscattered reflectance spectra are collected using a spectrometer and a cutting-edge technology, white-light supercontinuum laser source; second, a commercial monochromatic LiDAR system is used for ranging. A virtual hyperspectral LiDAR dataset is produced by data fusion. Such a dataset was collected on a Norway spruce (Picea abies) sample. The performance of classification was tested using an experimental hyperspectral algorithm based on a novel combination of the Spectral Correlation Mapper and a region growing algorithm. The classifier was able to automatically distinguish between needles, branches and background, in other words, perform a difficult task using only traditional TLS data.
Journal: ISPRS Journal of Photogrammetry and Remote Sensing - Volume 66, Issue 5, September 2011, Pages 637–641