Please use this identifier to cite or link to this item:
http://localhost/handle/Hannan/156768
Title: | Processing Sliding Mosaic Mode Data With Modified Full-Aperture Imaging Algorithm Integrating Scalloping Correction |
Authors: | Ning Li;Robert Wang;Yunkai Deng;Tuan Zhao;Wei Wang;Heng Zhang |
Year: | 2017 |
Publisher: | IEEE |
Abstract: | Modified full-aperture imaging algorithm for sliding Mosaic mode synthetic aperture radar (SAR) is presented in this paper, which includes scalloping correction and spikes suppression. The full-aperture imaging algorithm is introduced into Mosaic mode and validated by real C-band airborne SAR imaging experiments. The main idea is to substitute zeros between bursts with linear-predicted data extrapolated from adjacent bursts to suppress the spikes caused by multibursts processing. Furthermore, scalloping correction for sliding Mosaic mode is integrated with this algorithm. It is innovational to correct the azimuth beam pattern weighting altered by radar antenna rotation in azimuth with deramping preprocessing operation. Finally, experiments performed by the C-band airborne SAR system with a maximum bandwidth of 200 MHz validate the effectiveness of the approach. |
URI: | http://localhost/handle/Hannan/156768 |
volume: | 10 |
issue: | 5 |
More Information: | 1804, 1812 |
Appears in Collections: | 2017 |
Files in This Item:
File | Size | Format | |
---|---|---|---|
7892963.pdf | 1.13 MB | Adobe PDF |
Title: | Processing Sliding Mosaic Mode Data With Modified Full-Aperture Imaging Algorithm Integrating Scalloping Correction |
Authors: | Ning Li;Robert Wang;Yunkai Deng;Tuan Zhao;Wei Wang;Heng Zhang |
Year: | 2017 |
Publisher: | IEEE |
Abstract: | Modified full-aperture imaging algorithm for sliding Mosaic mode synthetic aperture radar (SAR) is presented in this paper, which includes scalloping correction and spikes suppression. The full-aperture imaging algorithm is introduced into Mosaic mode and validated by real C-band airborne SAR imaging experiments. The main idea is to substitute zeros between bursts with linear-predicted data extrapolated from adjacent bursts to suppress the spikes caused by multibursts processing. Furthermore, scalloping correction for sliding Mosaic mode is integrated with this algorithm. It is innovational to correct the azimuth beam pattern weighting altered by radar antenna rotation in azimuth with deramping preprocessing operation. Finally, experiments performed by the C-band airborne SAR system with a maximum bandwidth of 200 MHz validate the effectiveness of the approach. |
URI: | http://localhost/handle/Hannan/156768 |
volume: | 10 |
issue: | 5 |
More Information: | 1804, 1812 |
Appears in Collections: | 2017 |
Files in This Item:
File | Size | Format | |
---|---|---|---|
7892963.pdf | 1.13 MB | Adobe PDF |
Title: | Processing Sliding Mosaic Mode Data With Modified Full-Aperture Imaging Algorithm Integrating Scalloping Correction |
Authors: | Ning Li;Robert Wang;Yunkai Deng;Tuan Zhao;Wei Wang;Heng Zhang |
Year: | 2017 |
Publisher: | IEEE |
Abstract: | Modified full-aperture imaging algorithm for sliding Mosaic mode synthetic aperture radar (SAR) is presented in this paper, which includes scalloping correction and spikes suppression. The full-aperture imaging algorithm is introduced into Mosaic mode and validated by real C-band airborne SAR imaging experiments. The main idea is to substitute zeros between bursts with linear-predicted data extrapolated from adjacent bursts to suppress the spikes caused by multibursts processing. Furthermore, scalloping correction for sliding Mosaic mode is integrated with this algorithm. It is innovational to correct the azimuth beam pattern weighting altered by radar antenna rotation in azimuth with deramping preprocessing operation. Finally, experiments performed by the C-band airborne SAR system with a maximum bandwidth of 200 MHz validate the effectiveness of the approach. |
URI: | http://localhost/handle/Hannan/156768 |
volume: | 10 |
issue: | 5 |
More Information: | 1804, 1812 |
Appears in Collections: | 2017 |
Files in This Item:
File | Size | Format | |
---|---|---|---|
7892963.pdf | 1.13 MB | Adobe PDF |