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Accuracy Improvement of Airborne Lidar Strip Adjustment by Using Height Data and Surface Feature Strength Information Derived from the Tensor Voting Algorithm
2020
ISPRS International Journal of Geo-Information
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Instead of the Lidar intensity, a new type of data, termed surface feature strength data derived by using the tensor voting method, were introduced into the strip adjustment process using the partial least ...
Light detection and ranging (Lidar) spatial coordinates, especially height data, and the intensity data of point clouds are often used for strip adjustment in airborne Lidar. ...
., Taiwan, for providing the LiDAR data sets.
Conflicts of Interest: The authors declare no conflict of interest. ...
doi:10.3390/ijgi9010050
fatcat:mrczryhg2ffufjk5hs3wpot7e4
A Strip Adjustment Method of UAV-Borne LiDAR Point Cloud Based on DEM Features for Mountainous Area
2021
Sensors
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Strip adjustment is an effective way to eliminate these discrepancies. However, it is difficult to apply existing strip adjustment methods in mountainous areas with few artificial objects. ...
Finally, a point-to-plane ICP algorithm is performed to register the adjacent DEMs with the overlapping area. ...
You and Lee [33] introduced surface feature strength data derived from the tensor voting method into strip adjustment. ...
doi:10.3390/s21082782
pmid:33920866
fatcat:s47eeo5ib5fihi3we6fqkov4sa
Extracting Urban Road Footprints from Airborne LiDAR Point Clouds with PointNet++ and Two-Step Post-Processing
2022
Remote Sensing
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from raw LiDAR points, such as 3D coordinate values, intensity, etc., but also the digital number (DN) of co-registered images and generated geometric features to describe a strip-like road. ...
In this paper, a novel framework for the automatic extraction of road footprints from airborne LiDAR point clouds in urban areas is proposed. ...
[23] developed a higher-order tensor voting-based method, which could locate road junctions by identifying multi-directional features in an encoded high-order tensor model. ...
doi:10.3390/rs14030789
fatcat:526mwkzyordf3oazuzj7bpmhhu
The Hessigheim 3D (H3D) Benchmark on Semantic Segmentation of High-Resolution 3D Point Clouds and Textured Meshes from UAV LiDAR and Multi-View-Stereo
[article]
2021
arXiv
pre-print
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Ultimately, we hope that H3D will become a widely used benchmark dataset in company with the well-established ISPRS Vaihingen 3D Semantic Labeling Challenge benchmark (V3D). ...
introducing a new annotated 3D dataset that is unique in three ways: i) The dataset consists of both an Unmanned Aerial Vehicle (UAV) laser scanning point cloud and a 3D textured mesh. ii) The point cloud features ...
Different point densities are due to diagonal strips for further block stabilization beneficial for adjustment of LiDAR strips. Flight trajectories of LiDAR strips are shown in black. ...
arXiv:2102.05346v2
fatcat:y4juhz4dqfd4biowfbcginlklm
Silvi-Net – A dual-CNN approach for combined classification of tree species and standing dead trees from remote sensing data
2021
International Journal of Applied Earth Observation and Geoinformation
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Finally, the extracted features are fused for a final classification step based on a standard multi-layer perceptron and majority voting. ...
Therefore, we introduce Silvi-Net, an approach based on convolutional neural networks (CNNs) fusing airborne lidar data and multispectral (MS) images for 3D object classification. ...
Marco Heurich, Head of the Department of Visitor Management and National Park Monitoring, for providing the remote sensing data in the study area BFNP (lidar data and MS images). ...
doi:10.1016/j.jag.2020.102292
fatcat:ohhxyrfukretvjbkcxn4guaxqy
2015 Index IEEE Transactions on Geoscience and Remote Sensing Vol. 53
2015
IEEE Transactions on Geoscience and Remote Sensing
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., +, TGRS Aug. 2015 4472-4482 LiDAR Strip Adjustment Using Multifeatures Matched With Aerial Images. ...
., +, TGRS March 2015 1527-1537 LiDAR Strip Adjustment Using Multifeatures Matched With Aerial Images. ...
doi:10.1109/tgrs.2015.2513444
fatcat:zuklkpk4gjdxjegoym5oagotzq
A Survey of Change Detection Methods Based on Remote Sensing Images for Multi-Source and Multi-Objective Scenarios
2020
Remote Sensing
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However, diverse multi-source features and change patterns bring challenges to the change detection in urban cases. ...
RS images and multi-objective scenarios determined according to scene category. ...
In fact, applying majority voting rule with object features on multi-level object layers is still advisable [90] . ...
doi:10.3390/rs12152460
fatcat:itc5ixwgrffuzgzyj2yrycaree
Sliver Removal in Object-Based Change Detection from VHR Satellite Images
2016
Photogrammetric Engineering and Remote Sensing
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Ma and Sun (2011) proposed an improved A* algorithm combining lidar point clouds for orthoimage seamlines optimization. ...
Tensor-Cuts: A simultaneous multi-type feature
extractor and classifier and its application to road extraction
from satellite images, ISPRS Journal of Photogrammetry and
Remote Sensing, (95):93-108. ...
High-quality image segmentation, robust classification rules, and minimum algorithm parameter dependency are important issues that should be solved to promote the practicability of these methods. ...
doi:10.14358/pers.82.2.161
fatcat:b2n5myfsp5cariggcod6iiuzau
Design of large polyphase filters in the Quadratic Residue Number System
2010
2010 Conference Record of the Forty Fourth Asilomar Conference on Signals, Systems and Computers
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Recovery of missing dominant structures is done via tensor voting, regression analysis or a combination of both. ...
Combined structure extrapolation considerably reduces the complexity of structure restoration, compared to genuine tensor voting, with overall graceful to imperceptible degradation of the inpainting result ...
doi:10.1109/acssc.2010.5757589
fatcat:ccxnu5owr5fyrcjcqukumerueq
Extracting recent short-term glacier velocity evolution over Southern Alaska from a large collection of Landsat data
2018
The Cryosphere Discussions
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Our methodology is robust as it is based upon a fuzzy voting scheme to filter multiple outliers. The multi-temporal data stack is then smoothed to facilitate interpretation. ...
The measurement of glacier velocity fields using repeat satellite imagery has become a standard method of cryospheric research. ...
In combination with another algorithm such front detection can be used to construct a pipeline to monitor calving flux (Altena and Kääb, 2017b) . ...
doi:10.5194/tc-2018-66
fatcat:dy2zeqenbzfkrmwqjagbqnabv4
The Hessigheim 3D (H3D) benchmark on semantic segmentation of high-resolution 3D point clouds and textured meshes from UAV LiDAR and Multi-View-Stereo
2021
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Ultimately, we hope that H3D will become a widely used benchmark dataset in company with the well-established ISPRS Vaihingen 3D Semantic Labeling Challenge benchmark (V3D). ...
introducing a new annotated 3D dataset that is unique in three ways: i) The dataset consists of both an Unmanned Aerial Vehicle (UAV) laser scanning point cloud and a 3D textured mesh. ii) The point cloud features ...
Different point densities are due to diagonal strips for further block stabilization beneficial for adjustment of LiDAR strips. Flight trajectories of LiDAR strips are shown in black. ...
doi:10.5167/uzh-208562
fatcat:5pcgbpniqbe5plvkktx2knxymm
Using Image Quality Assessment to Test Rendering Algorithms
2013
International Conference in Central Europe on Computer Graphics and Visualization
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Baltic LIDAR Terrain Another LIDAR dataset was acquired by the same airborne laser scan system as used for the Rheinfelden area. The raw dataset provides a point cloud of 385 million elements. ...
Rheinfelden LIDAR Terrain The "Rheinfelden" data set has been derived from an airborne light detecting and ranging (LIDAR) laser scan using a bathymetric green laser system, the Riegl hydro-graphic laser ...
The current version of Meshviz offers interactive tools for experimentation with the proposed deformation algorithm but it does not provide any tangential remeshing feature. ...
dblp:conf/wscg/AmannWW13
fatcat:wpubb4ubb5bdlg4265n32u3y6y
Table of Contents
2021
2021 40th Chinese Control Conference (CCC)
unpublished
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YAN Aijun, LI Jiaxuan 6269 Feature Weight Optimization Method Based on T-Memetic Algorithm . . . . . ...
YAN Zheping, PAN Xiaoli, YANG Zewen 4943 Multi-Agent Formation Adjustment under Flocking Control Algorithms with Expected Topological Matrices . . . . . . . . . . . . . . . . . . . . . . . . . . . . . ...
doi:10.23919/ccc52363.2021.9550117
fatcat:55y7a2gagfhtpc6llmfvl7gqpm
79. Jahrestagung Deutsche Geophysikalische Gesellschaft. 04.-07. März 2019 in Braunschweig. Abstracts und Autorenverzeichnis
2019
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In order to obtain a high data coverage as well as a high resolution, airborne and ground based methods are combined. ...
We analyzed the resolution characteristics of these 3 different EM methods, and developed a 1D joint inversion algorithm to combine the advantages of each method. ...
To interpret these geophysical field IP data, lab investigations with different kinds of bacteria are necessary to assess the sensitivity of the methods for these specific applications. ...
doi:10.2312/dgg79
fatcat:563ocnmvdfegxeryz62pncganm
Establishing common standards and requirements for Earth Observation management, access and sharing:
2011
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It also assessed many web-GIS applications in combination with satellite data. ...
UV/VIS Spectromet er (ACE) Multi-band UV/VIS Spectromete r (ACE) Multi-beam LIDAR (Desdyni) Multi-beam LIDAR (Desdyni) Multi-spectral thermal infrared imager (HyspIRI) Multi-spectral thermal infrared ...
Images from the different bands can be combined into false color images highlighting features on the ground or they can be combined to produce true color images. ...
doi:10.26262/heal.auth.ir.128230
fatcat:dd4msztzdfaevh6vu3to5wevoe
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