Image Registration Method Based on Geo-Location Information and Precision Analysis

Fig. 9. Distribution of geo-location point and its error probability. (a) Distribution of geo-location point; (b) distribution of latitude error probability; (c) distribution of longitude error probability

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Fig. 10. Circular error probability of geo-location with different gimbal roll angles

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Fig. 11. Distribution of matching point projecting on CCD. (a) The first image; (b) the second image

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Fig. 12. Relative distribution of matching point projecting on CCD in two aerial remote sensing images

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Fig. 13. Registration results of ground scenery image

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Fig. 14. Registration results of two ocean aerial remote sensing images

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Table 1. Data in geo-location simulation program

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Table 1. Data in geo-location simulation program

Symbol		Nominal value	Standard deviation
Aircraft GPS position	$\begin{matrix} {φ_{A}}_{} \end{matrix}$ /(°)	35.0215	0.0001
	$\begin{matrix} {λ_{A}}_{} \end{matrix}$ /(°)	121.6955	0.0001
	$\begin{matrix} {h_{A}}_{} \end{matrix}$ /m	2000	5
Aircraft attitude	ψ /(°)	45.50	0.02
	θ /(°)	3.50	0.01
	φ /(°)	0.00	0.01
Gimbal angle	$\begin{matrix} {θ_{yaw}}_{} \end{matrix}$ /(°)	-0.50	0.01
	$\begin{matrix} {θ_{roll}}_{} \end{matrix}$ /(°)	18.000	0.006
	$\begin{matrix} {θ_{pitch}}_{} \end{matrix}$ /(°)	-2.600	0.006

Table 2. Data in image registration simulation experiment

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Table 2. Data in image registration simulation experiment

Symbol		Nominal value (photo1)	Nominal value (photo2)	Standard deviation	Relative standard deviation
Aircraft GPS position	$\begin{matrix} {φ_{A}}_{} \end{matrix}$ /(°)	35.0215	35.0216	0.0001	0.00002
	$\begin{matrix} {λ_{A}}_{} \end{matrix}$ /(°)	121.6955	121.6956	0.0001	0.00002
	$\begin{matrix} {h_{A}}_{} \end{matrix}$ /m	2000	2003	5	1
Aircraft attitude	ψ /(°)	45.50	45.80	0.02	0.01
	θ /(°)	3.500	3.600	0.01	0.005
	φ /(°)	0.00	0.00	0.01	0.005
Gimbal angle	$\begin{matrix} {θ_{yaw}}_{} \end{matrix}$ /(°)	-0.50	-0.70	0.01	0.01
	$\begin{matrix} {θ_{roll}}_{} \end{matrix}$ /(°)	18.000	6.000	0.006	0.006
	$\begin{matrix} {θ_{pitch}}_{} \end{matrix}$ /(°)	-2.600	-6.800	0.006	0.006

Table 3. Comparison of the registration results with the Google Earth

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Table 3. Comparison of the registration results with the Google Earth

Sample number		1	2	3	4
Matching point position	Latitude /(°)	18.27448	18.27433	18.27430	18.27414
Matching point position	Longitude /(°)	109.51244	109.51246	109.51250	109.51244
Google Earth position	Latitude /(°)	18.27429	18.27413	18.27410	18.27391
Google Earth position	Longitude /(°)	109.51221	109.51224	109.51228	109.51225
Position error /m		32.15	32.11	31.36	31.78

Table 4. Geo-location and registration results of two ocean aerial remote sensing images

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Table 4. Geo-location and registration results of two ocean aerial remote sensing images

Sample number		Fig. 14(a1)	Fig. 14(a2)	Fig. 14(b1)	Fig. 14(b2)
AC altitude /m		2043.1	2043.1	1997.3	1997.3
Roll gimbal angle /(°)		6.17	18.13	-17.96	-6.05
Geo-location of boat	Latitude /(°)	35.02716	35.02715	35.06437	35.06435
Geo-location of boat	Longitude /(°)	121.69073	121.69076	121.71215	121.71216
Geo-location error /m		26.80	29.60	28.31	26.12
Registration error /m		2.95		2.40
Registration error /pixel		10.61		8.82

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Chuan Qiao, Yalin Ding, Yongsen Xu, Yuan Yao, Hao Wang. Image Registration Method Based on Geo-Location Information and Precision Analysis[J]. Acta Optica Sinica, 2017, 37(8): 0828001

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Paper Information

Category: Remote Sensing and Sensors

Received: Jan. 18, 2017

Accepted: --

Published Online: Sep. 7, 2018

The Author Email: Yalin Ding (dingyl_1964@126.com)

DOI:10.3788/AOS201737.0828001

Topics

laser devices and laser physics

Lasers and Laser Optics

Laser physics

laser manufacturing

Instrumentation, Measurement and Metrology