Analysis of full-waveform LiDAR data for classification of an orange orchard scene
نویسندگان
چکیده
منابع مشابه
Analysis of full-waveform LiDAR data for classification of an orange orchard scene
Full-waveform laser scanning data acquired with a Riegl LMS-Q560 instrument were used to classify an orange orchard into orange trees, grass and ground using waveform parameters alone. Gaussian decomposition was performed on this data capture from the National Airborne Field Experiment in November 2006 using a custom peak-detection procedure and a trust-region-reflective algorithm for fitting G...
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Given sufficient data storage capacity, today’s full-waveform LiDAR systems are able to record and store the entire laser pulse echo signal. This provides the possibility of further analyzing the physical characteristics of the reflecting objects. However the size of the captured data is enormous and currently not practical. Thus arises the need for compressing the waveform data. We have develo...
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in the last two decade the use of aerial laser scanner (als) or lidar (light detection and ranging) sensor in geomatics engineering and surveying application has augmented significantly . the main reason of the mentioned phenomenon is the reliability and accuracy of the data obtained by lidar sensors. the output of lidar is unclassified 3d point cloud. classification of the lidar point clouds i...
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In contrast to conventional airborne multi-echo laser scanner systems, full-waveform (FW) lidar systems are able to record the entire emitted and backscattered signal of each laser pulse. Instead of clouds of individual 3D points, FW devices provide connected 1D profiles of the 3D scene, which contain more detailed and additional information about the structure of the illuminated surfaces. This...
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ژورنال
عنوان ژورنال: ISPRS Journal of Photogrammetry and Remote Sensing
سال: 2013
ISSN: 0924-2716
DOI: 10.1016/j.isprsjprs.2013.05.002