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Urban area change visualization and analysis using high density spatial data from time series aerial images

Cihan Altuntas
Cihan Altuntas
   | 11 mag 2019
Reports on Geodesy and Geoinformatics's Cover Image
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Article Category: Original Article
Pubblicato online: 11 mag 2019
Pagine: 1 - 12
Ricevuto: 24 ott 2018
Accettato: 15 mar 2019
DOI: https://doi.org/10.2478/rgg-2019-0001
© 2019 Cihan Altuntas, published by Sciendo
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Figure 1

Visualization of the study area
Visualization of the study area

Figure 2

Workflow of the applied change detection method
Workflow of the applied change detection method

Figure 3

The examples from object-based GCPs
The examples from object-based GCPs

Figure 4

Flowchart of the point cloud registration by the ICP algorithm
Flowchart of the point cloud registration by the ICP algorithm

Figure 5

The GCP locations and error estimates on point clouds of a) 1951, b) 1975, c) 1998 and d) 2010. The Z error is represented by ellipse colour. The X, Y errors are represented by ellipses. The estimated GCP locations are shown with a dot or cross. (Red rectangle indicates the study area)
The GCP locations and error estimates on point clouds of a) 1951, b) 1975, c) 1998 and d) 2010. The Z error is represented by ellipse colour. The X, Y errors are represented by ellipses. The estimated GCP locations are shown with a dot or cross. (Red rectangle indicates the study area)

Figure 6

The cross-section from compared data of 1951 and 2010. The height differences correspond to the changes.
The cross-section from compared data of 1951 and 2010. The height differences correspond to the changes.

Figure 7

The estimated changes (legend units: meters)
The estimated changes (legend units: meters)

Figure 8

The change comparison during the historical periods
The change comparison during the historical periods

Figure 9

The changes due to demolished and new buildings from 1998 to 2010 (Unit: meter)
The changes due to demolished and new buildings from 1998 to 2010 (Unit: meter)

Figure 10

The visualization of changes in comparison of time series point clouds (B1 location: 37°53’09.15”N latitude, 32°29’08.37”E longitude) (Legend unit: meter)
The visualization of changes in comparison of time series point clouds (B1 location: 37°53’09.15”N latitude, 32°29’08.37”E longitude) (Legend unit: meter)

The change quantities for the historical periods

YearRMSE [m]Average d [m]Std. dev. ᓂ [m]
1951–19758.424.826.91
1975–19988.51-0.908.46
1998–20109.106.696.18
1951–201014.1610.609.39

The informative results of dense point cloud creation

Year1951197519982010
Image #2322
Endlap70%75%70%70%
Flying altitude [km]6.277.265.38.05
Ground res. [cm/px]73.440.336.650.2
Coverage area [km2]27.622.78.5221.7
Tie points1616 of6527 of3817 of3870 of
1756665539883994
Projections32321348776347740
Reproj. err. [px]0.9890.8670.6860.259
Max. reproj. err. [px]5.8048.0346.594861.910
Dense points #2539040885987039957535243623

The RMSE of residuals on GCP coordinates after the geo-registration [m]

DateGCP #RMSEXRMSEYRMSEZRMSEXYRMSEXYZ
195161.541.601.862.222.90
197571.091.033.671.503.96
199870.801.302.521.532.94
201060.320.521.620.611.73

The ICP convergence of compared point clouds

Date comparisonConvolution [m]Mean [cm]Std. Dev. [m]
1951–19759.2e-70.060.99
1975–19987.1e-7-0.870.96
1998–20109.3e-70.090.94
1951–20109.1e-70.120.99

The properties and recording details of the images

DateCameraFocal length [m]Flying height [m]Image scaleImage dimensionsImage area [km2]Stereo area [km2]Pixel size [micron]
1951Analogue204.1862703070818 x 18 cm46.3927.623.88
1975Analogue208.1772502000018 x 18 cm23.0122.714.96
1998Analogue30553001737723 x 23 cm15.978.5220.60
2010Digital100.508050800999420 x 14430 px34.2621.77.20
eISSN:
2391-8152
Lingua:
Inglese
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Volume Open
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Computer Sciences, other, Geosciences, Geodesy, Cartography and Photogrammetry
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