FWNet: Semantic Segmentation for Full-Waveform LiDAR Data Using Deep Learning
نویسندگان
چکیده
منابع مشابه
3d Segmentation of Full Waveform Lidar Data for Single Tree Detection Using Normalized Cut
The study highlights a novel method to segment single trees in 3D from dense airborne full waveform LIDAR data using the normalized cut segmentation. The key idea is to subdivide the tree area in a voxel space and to setup a bipartite graph which is formed by the voxels and similarity measures between the voxels. The normalized cut segmentation divides the graph hierarchically into segments whi...
متن کاملCombined Tree Segmentation and Stem Detection Using Full Waveform Lidar Data
The study highlights a new method for the delineation of tree crowns and the detection of stem positions of single trees from dense airborne LIDAR data. At first, we combine a method for surface reconstruction, which robustly interpolates the canopy height model (CHM) from the LIDAR data, with a watershed algorithm. Stem positions of the tallest trees in the tree segments are subsequently deriv...
متن کاملA Signal Denoising Method for Full-waveform Lidar Data
The lack of noise reduction methods resistant to waveform distortion can hamper correct and accurate decomposition in the processing of full-waveform LiDAR data. This paper evaluates a time-domain method for smoothing and reducing the noise level in such data. The Savitzky-Golay (S-G) approach approximates and smooths data by taking advantage of fitting a polynomial of degree d, using local lea...
متن کاملProcessing Full-waveform Lidar Data: Modelling Raw Signals
Unlike airborne multi-echo laser scanner systems, full-waveform systems are able to digitize and record the entire backscattered signal of each laser pulse. It has been demonstrated that decomposing the return waveforms into a mixture of Gaussian components was suitable. In this paper, we focus on the improvement of peak detection and of raw signal modelling. Refined peak detection greatly incr...
متن کاملTerrain Roughness Parameters from Full-waveform Airborne Lidar Data
As an active remote sensing technique airborne laser scanning (ALS) is able to capture the topography with high precision even for densely forested areas. Due to the high pulse repetition frequency of up to 400 kHz a high sampling rate on the ground can be achieved, which allows the description of the terrain surface in decimeter scale. In this contribution two approaches to characterize terrai...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Sensors
سال: 2020
ISSN: 1424-8220
DOI: 10.3390/s20123568