Abstract
Abstract. In this paper a process for rapid geometric correction of slant range SAR images is presented. The process is completely independent of ground control information thanks to the direct georeferencing method capabilities offered by the TerraSAR-X sensor. The process is especially rapid due to the use of readily available global DEMs and global geoid models. An additional advantage of this process is its flexibility. If a more accurate local DEM or local geoid model is readily available it can be used instead of the global DEM or global geoid model. The process is applied to geometrically correct a SSC TerraSAR-X image over a sub-urban mountainous area using the SRTM and the ASTER global DEMs and the EGM2008 global geoid model. Additionally two local, more accurate DEMs, are used. The accuracy of the process is evaluated by independent check points.
Highlights
Satellite remote sensing data is especially useful in crisis management as it allows the review and the evaluation of the situation, as well as the means for planning assistance and support
In-situ presence to the area of interest is usually difficult, as is the collection of Ground Control Points (GCPs) in order to establish the relationship of the image with the object space and the DEM collection for the orthorectification
In this paper we present and evaluate a process for the rapid geometric correction of slant range (SSC) TerraSAR-X images
Summary
Satellite remote sensing data is especially useful in crisis management as it allows the review and the evaluation of the situation, as well as the means for planning assistance and support. If the crisis happens during days with cloud cover or during the night, the usefulness of optical images is little, as they illustrate the clouds or a dark and shadowy surface of the Earth. In such cases the use of SAR data is the best solution. In this paper we present and evaluate a process for the rapid geometric correction of slant range (SSC) TerraSAR-X images. The establishment of the relationship of the 2D SAR image with the 3D object space is usually computed with GCPs which are hard or time consuming to collect. The accuracy of the geometric correction is evaluated by independent check points (CPs), collected from other available data
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