Geometric correction for satellite image of Mosul city using 3D methods

Israa Hussein,Nawal K Ghazal

doi:10.31257/2018/jkp/2020/120107

Abstract

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). DOI:

Highlights

When using remote sensing information with the external and the internal distortions corrected by measured
Two models were used for transformation joint with a number of ground control points
It was anticipated that positional accuracies of the order 5 to 10 m root mean square error (RMSE) might be achieved in mapping from panchromatic SPOT imagery,this well within 1:50000 mapping specifications [4]

Summary

INTRODUCTION

When using remote sensing information with the external and the internal distortions corrected by measured. The internal distortions are mistake that occur in the sensors These are measured as systematic errors and can be removed using a mathematical correction model. The changes in the topography and atmosphere of the earth are the errors and can be removed by using control points that appear in the image [1]. The preprocessing of the remote sensing data to the start of the analysis process to remove the errors. Two models were used for transformation joint with a number of ground control points. These models are physical model of SPOT2 and Projective transformation model. While topographic feature for the map scale of 1:100000 can mostly and the the feature for the map with scale of 1:50000 can patially be extracted from SPOT satellite images [5],[6]

2-1 SPOT2 physical model

Conclusion

4.Results and Discussions