Range-Doppler (RD) method and Reverse-Range-Doppler (RRD) method are combined together to achieve automatic geocoding of Synthetic Aperture Radar (SAR) image quickly and accurately in the paper. The RD method is first...Range-Doppler (RD) method and Reverse-Range-Doppler (RRD) method are combined together to achieve automatic geocoding of Synthetic Aperture Radar (SAR) image quickly and accurately in the paper. The RD method is firstly used to locate the four corners of the image, then the other pixels of the image can be located by Reverse-Range-Doppler (RRD) method. Resampling is performed at last. The approach has an advantage over previous techniques in that it does not require ground control points and is independent of spacecraft attitude knowledge or control. It can compensate the shift due to the assumed Doppler frequency in SAR image preprocessing. RRD simplifies the process of RD, therefore speeds up the computation. The experimental results show that a SAR image can be automated geocoded in 30 s using the single CPU (3 GHz) with 1 G memory and an accuracy of 10 m is attainable with this method.展开更多
This paper studies two range-Doppler (RD) algorithms for the azimuth correlation in the squint mode airborne synthetic aperture radar (SAR). The modeling of squint mode airborne SAR spatial geometry and echo response ...This paper studies two range-Doppler (RD) algorithms for the azimuth correlation in the squint mode airborne synthetic aperture radar (SAR). The modeling of squint mode airborne SAR spatial geometry and echo response is given. The procedure for the squint mode airborne SAR processing using the two RD algorithms is outlined. The simulation demonstrates that these two RD algorithms are suitable for squint mode airborne SAR when the squint angle is not larger than 20(°).展开更多
文摘Range-Doppler (RD) method and Reverse-Range-Doppler (RRD) method are combined together to achieve automatic geocoding of Synthetic Aperture Radar (SAR) image quickly and accurately in the paper. The RD method is firstly used to locate the four corners of the image, then the other pixels of the image can be located by Reverse-Range-Doppler (RRD) method. Resampling is performed at last. The approach has an advantage over previous techniques in that it does not require ground control points and is independent of spacecraft attitude knowledge or control. It can compensate the shift due to the assumed Doppler frequency in SAR image preprocessing. RRD simplifies the process of RD, therefore speeds up the computation. The experimental results show that a SAR image can be automated geocoded in 30 s using the single CPU (3 GHz) with 1 G memory and an accuracy of 10 m is attainable with this method.
文摘This paper studies two range-Doppler (RD) algorithms for the azimuth correlation in the squint mode airborne synthetic aperture radar (SAR). The modeling of squint mode airborne SAR spatial geometry and echo response is given. The procedure for the squint mode airborne SAR processing using the two RD algorithms is outlined. The simulation demonstrates that these two RD algorithms are suitable for squint mode airborne SAR when the squint angle is not larger than 20(°).
