Methodology Development on Full-waveform Aerial LiDAR Data Analysis
نویسندگان
چکیده
منابع مشابه
Processing 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 کاملLand Classification of Wavelet-compressed Full-waveform Lidar Data
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...
متن کاملEnhanced Component Detection Algorithm of Full-waveform Lidar Data
When full-waveform LiDAR (FW-LiDAR) data are applied to extract the component feature information of interest targets, there exist a problem of components lost during the waveform decomposition procedure, which severely constrains the performance of subsequent targets information extraction. Focusing on the problem above, an enhance component detection algorithm, which combines Finite Mixed Met...
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 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: Journal of the Japan society of photogrammetry and remote sensing
سال: 2015
ISSN: 0285-5844,1883-9061
DOI: 10.4287/jsprs.54.4