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Classifying the original point clouds into ground and non-ground points is a key step in LiDAR (light detection and ranging) data post-processing. Cloth simulation filtering (CSF) algorithm, which bas...
After a disaster not necessarily all buildings in affected areas are damaged. Therefore, a building damage analysis does not only have to distinguish different damage types. In fact, unchanged build...
Automatic acquisition and analysis of traffic-related data has already a long tradition in the remote sensing community. Similarly airborne laser scanning (ALS) has emerged as an efficient means to ac...
Currently available laser scanners are capable of performing hundreds of thousands of range measurements per second at a range resolution of a few centimeters. Despite that increasing performance, up ...
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 c...
With the purpose of further development of SAR satellite technique and for Earth’s topography, SAR interferometry, with which one can get, not only images with target’s azimuth and range information, ...
Laser Footprint Size and Pointing Precision Analysis for LIDAR Systems     LiDAR  Data  Accuracy  Analysis  Laser scanning       font style='font-size:12px;'> 2015/11/20
Laser footprint size and beam divergence angle tuning was found to affect LiDAR data accuracy and measurement precision because of beam axis shifting. The laser beam divergence angle is generally tuna...
The ocean influences global weather patterns, stores and transports heat, and supports entire ecosystems. An area of interest is the relationship between the observed backscattered power received by a...
Interferometric synthetic aperture radar (InSAR) has become an important geodetic tool for measuring deformation of Earth’s surface due to various geophysical phenomena, including slip on earthquak...
It is well known that unsupervised classification of a single polarized SAR image is accomplished mainly by two steps i.e., (i) Clustering the SAR image into groups or clusters on the basis of backsca...
The paper investigated the effectiveness of point pattern methods in the application of forest species classification using airborne LiDAR data. The forest stands and individual trees in our study are...
Due to rich information of a full waveform of airborne LiDAR (light detection and ranging) data, the analysis of full waveform has been an active area in LiDAR application. It is possible to digitally...
The paper deals with a new sequential procedure to perform unsupervised LIDAR points classification by iteratively studying skewness and kurtosis for elevation and intensity point distribution values....
RANSAC algorithm is a robust method for model estimation. It is widely used in the extraction of geometry primitives and 3D model reconstruction. However, there has been relatively little comprehensiv...
Using different combinations of 29 Advanced Synthetic Aperture Radar (ASAR) images, 43 Digital Elevations Models (DEM) were generated adopting SAR Interferometry (InSAR) technique. Due to sand movemen...

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