Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/88274
PIRA download icon_1.1View/Download Full Text
Title: Semi-automatic approach for optical and LiDAR data integration using phase congruency model at multiple resolutions
Authors: Megahed, Y
Yan, WY 
Shaker, A
Issue Date: 21-Aug-2020
Source: International archives of the photogrammetry, remote sensing and spatial information sciences, 21 Aug. 2020, v. XLIII-B3-2020, p. 611-618
Abstract: In light of the ongoing urban sprawl reported in recent studies, accurate urban mapping is essential for assessing current status and evolve new policies, to overcome various social, environmental, and economic consequence. Imagery and LiDAR data integration densifies remotely sensed data with radiometric and geometric characteristics, respectively, for a precise segregation of different urban features. This study integrated aerial and LiDAR images using point primitives, which were obtained from running the Phase Congruency model as an image filter to detect edges and corner. The main objective is to study the effect of applying the filter at different spatial resolutions on the registration accuracy and processing time. The detected edge/corner points that are mutual in both datasets, were identified as candidate points. The Shape Context Descriptor method paired-up candidate points as final points based on a minimum correlation of 95%. Affine, second and third order polynomials, in addition to the Direct Linear Transformation models were applied for the image registration process using the two sets of final points. The models were solved using Least Squares adjustments, and validated by a set of 55 checkpoints. It was observed that with the decrease in spatial resolution, on one hand, the registration accuracy did not significantly vary. However, the consistency of the model development and model validation accuracies were enhanced, especially with the third order polynomial model. On the other hand, the number of candidate points decreased; consequently, the processing time significantly declined. The 3D LiDAR points were visualised based on the Red, Green, and Blue radiometric values that were inherited from the aerial photo. The qualitative inspection was very satisfactory, especially when examining the scene's tiny details. In spite of the interactivity in determining the candidate points, the proposed procedure overcomes the dissimilarity between datasets in terms of acquisition technique and time, and widens the tolerance of accepting points as candidates by including points that are not traditionally considered (i.e. road intersections).
Keywords: Integration
LiDAR
Multi-resolution
Optical
Phase Congruency
Registration
Shape Context Descriptor
Spatial Resolution
Publisher: Copernicus GmbH
Journal: International archives of the photogrammetry, remote sensing and spatial information sciences 
ISSN: 1682-1750
EISSN: 2194-9034
DOI: 10.5194/isprs-archives-XLIII-B3-2020-611-2020
Description: 2020 24th ISPRS Congress - Technical Commission III, 31 Aug - 2 Sep, on-line, Nice, France
Rights: © Author(s) 2020. This work is distributed under the Creative Commons Attribution 4.0 License (https://creativecommons.org/licenses/by/4.0/).
The following publication Megahed, Y., Yan, W. Y., and Shaker, A.: SEMI-AUTOMATIC APPROACH FOR OPTICAL AND LIDAR DATA INTEGRATION USING PHASE CONGRUENCY MODEL AT MULTIPLE RESOLUTIONS, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B3-2020, 611–618 is available at https://dx.doi.org/10.5194/isprs-archives-XLIII-B3-2020-611-2020
Appears in Collections:Conference Paper

Files in This Item:
File Description SizeFormat 
Megahed_Semi-automatic_Optical_LiDAR.pdf2.74 MBAdobe PDFView/Open
Open Access Information
Status open access
File Version Version of Record
Access
View full-text via PolyU eLinks SFX Query
Show full item record

Page views

89
Citations as of Aug 7, 2022

Downloads

18
Citations as of Aug 7, 2022

SCOPUSTM   
Citations

2
Citations as of Aug 4, 2022

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.