Abstract
Updating large-scale maps is one of the main problems in Egypt. These maps can be either many years out of date or even non-existent. On the other hand, the recent enhancements that have been made to the spatial resolution of remote sensing imagery have more accurately enabled the modeling of the Earth's surface features at short intervals. So, if the current High-Resolution Satellite Images (HRSI) are corrected from available geo-referenced topographic maps, digital layers for different applications will be available, as well as rationalization of national budget that are spent on their updating will be offered. In the current research, high resolution satellite images of world view-3 dated 2018, have been corrected geometrically using polynomial model. This model depend on the selection of several ground control points (GCPs) on the distorted image and map them to their true locations in ground coordinates measured from geo-referenced topographic maps. The geometric corrections accuracy of resulted image had been assessed quantitatively and qualitatively. The suitable scale for producing GIS layers from HRSI was also determined. The final result of the experimental works of geometric correction of HRSI using eight ground control points was calculated (Average of RMS error of image = 0.27m), and also the result of the positioning errors using eleven check points available for accuracy quantitative assessment was calculated as (2.59m). The output suitable scale maps for layers production is 1:5000, calculated depending on planimetric allowable accuracy (RMS), taking into consideration the standards of 0.5 mm of map scale.
Highlights
SATELLITE images include several geometric distortions that are inevitable aspects of the data recording step and the pattern and rotation of the Earth
Because there is always an immediate requirement for regular map updating needed for both economic development, as well as supporting scientific inquiries, this study aims to maximize the value of ancient topographic maps using ground control points (GCPs) measured from them in the geometric correction of update high-resolution satellite image
Fusing the lower resolution MS image (2.0meters) with the higher resolution panchromatic image (0.50m) using GramSchmidt Pan-Sharpening techniques is an important process to maximizing image sharpness and reducing color distortion
Summary
SATELLITE images include several geometric distortions that are inevitable aspects of the data recording step and the pattern and rotation of the Earth. Geometric correction is the method of improving these distortions and attaching the characteristics of a map to an image (Green, et al, 2000). Two ways can be utilized to correct the different types of geometric distortions presented in digital image data. One is to model the nature and magnitude of the sources of distortion and use the model to establish correction formulas. This approach is valid when the types of distortions are well identified, such as that induced by Earth rotation.
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