Geometric correction of remotely-sensed imagery usiing ground control points and orthogonal polynomials

1988 ◽  
Vol 9 (10-11) ◽  
pp. 1751-1759 ◽  
Author(s):  
A. J. De Leeuw ◽  
L. M. M. Veugen ◽  
H. T. C. Van Stokkom
2012 ◽  
Vol 226-228 ◽  
pp. 1958-1964
Author(s):  
Weian Wang ◽  
Shu Ying Xu ◽  
Gang Qiao

This paper investigates the geo-positioning accuracy of across-track QuickBird stereo imagery in Shanghai, China, where the terrain relief is very low about 3m but with very high buildings up to 380m. The rational function model (RFM) and the bias-compensated RFM with different parameters are employed to do accuracy analysis with different configurations of ground control points (GCPs). The systematic errors in vendor provided RPCs are revealed and discussed. The results of bias-compensated RFM show that different strategies in terms of the number of GCP and different geometric correction methods should be taken into consideration in order for a better and reasonable positioning accuracy in the three directions. The results also show that the best accuracy of 0.6m in horizontal direction and 0.8m in vertical direction can be acquired by the second-order polynomial model when GCPs are more than 8.


Author(s):  
Kuifeng Luan ◽  
Xiaohua Tong ◽  
Yanhua Ma ◽  
Rong Shu ◽  
Weiming Xu ◽  
...  

2020 ◽  
Vol 12 (01) ◽  
pp. 44-49
Author(s):  
Israa Hussein ◽  
◽  
Nawal K. Ghazal ◽  

The important preprocessing techniques for remote sensing data and geometrical alteration is the geometric correction. In this paper ,it covers two models which are used in to three dimensions the physical model and the projective Transformation for SPOT 2 to determine the geometric correction of study region of Mosul city. The ground control points are located on SPOT 2 satellite image. These models are producing the X residual, Y residual and root mean square error (RMSE) and then comparing the effects of two models. The X residual for SPOT 2 physical model is lower than X residual for projective transformation at 0.1420, while the Y residual for physical model has higher comparing with Y residual for projective transformation at 0.1143and Total RMSE for SPOT 2 physical model is lower than Total RMSE for projective Transformation at 0.1823. The physical model is superior to Projective model, so that, it is highly recommended to be used for very precise application and not to be replaced by these non-physical models. For the physical model, it is clearly that, the altitude of the Ground Control Points (or Check Points) does not effect on its individual RMSE, when using Projective model the RMSE for high altitude was high ,where at low altitude it was low too(extreme relationship).


Author(s):  
P. Hummel

Accurate ground control is required to georeferenced airborne and spaceborne images. The production of ortho-photogrammetric data requires ground control that is traditionally provided as Ground Control Points (GCPs) by GNSS measurements in the field. However, it can be difficult to acquire accurate ground control points due to required turn-around time, high costs or impossible access. CompassData, Inc. a specialist in ground control, has expanded its service to deliver Remotely Sensed Ground Control Points (RSGCPs®). TerraSAR-X and TanDEM-X are two satellites with such high accuracy of their orbital positions and SAR data that RSGCPs® can be produced to a sub-meter quality depending on certain parameters and circumstances. The technology and required parameters are discussed in this paper as well as the resulting accuracies.


Author(s):  
P. Hummel

Accurate ground control is required to georeferenced airborne and spaceborne images. The production of ortho-photogrammetric data requires ground control that is traditionally provided as Ground Control Points (GCPs) by GNSS measurements in the field. However, it can be difficult to acquire accurate ground control points due to required turn-around time, high costs or impossible access. CompassData, Inc. a specialist in ground control, has expanded its service to deliver Remotely Sensed Ground Control Points (RSGCPs®). TerraSAR-X and TanDEM-X are two satellites with such high accuracy of their orbital positions and SAR data that RSGCPs® can be produced to a sub-meter quality depending on certain parameters and circumstances. The technology and required parameters are discussed in this paper as well as the resulting accuracies.


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