Abstract :
In this letter, a possible approach to automate synthetic aperture radar (SAR) geocoding (or to automatically refine the existing one) is presented. The procedure is based on edge detection, where ground control lines obtained from digital vector maps are located in the SAR images. In geocoding, affine, projective, and rigorous SAR sensor transformation models can be used. According to the experiments, the procedure seems to be accurate and reliable as long as the initial values of the geocoding transformation model are accurate enough. The procedure copes well with displacements of about ten pixels on SAR images, but good results have been obtained in cases of even larger displacements. According to the well-defined checkpoints, the resulting geocoding accuracies for test images were around a few pixels. When the rigorous SAR sensor model was used, the accuracies were less than two pixels in most cases.
Keywords :
affine transforms; edge detection; geophysical signal processing; geophysical techniques; image coding; radar imaging; remote sensing by radar; synthetic aperture radar; SAR sensor; affine transformation; digital vector maps; edge detection; ground control lines; image edge analysis; image geocoding; image orientation analysis; projective transformation; synthetic aperture radar images; Equations; Geometry; Image analysis; Image edge detection; Image sensors; Mathematical model; Pixel; Remote sensing; Solid modeling; Synthetic aperture radar; Image edge analysis; image orientation analysis; synthetic aperture radar (SAR);