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A NEW SAR SUPERRESOLUTION IMAGING ALGORITHM BASED ON ADAPTIVE SIDELOBE REDUCTION Ping Zhang, Zhen Li, Jianmin Zhou , Quan Chen, Bangsen Tian   Center for Earth Observation and Digital Earth Chinese Academy of Sciences
Outlines ,[object Object],[object Object],[object Object],[object Object],[object Object]
Impact of Weighting SAR imagery based on conventional Fourier transform (FT) techniques often requires sidelobe control for the high sidelobes. It has traditionally been accomplished by using window functions such as Taylor, Hanning, Hamming, etc.  However, the lower sidelobes have been achieved at the expense of broadening the mainlobe width, i.e. it degrades the image resolution.  -80 -60 -40 -20 0 20 40 60 80 -80 -70 -60 -50 -40 -30 -20 -10 0 dB Rect Hamming Hanning Blackman
ASR Method ,[object Object],[object Object]
2D ASR Method ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
[object Object],[object Object],2D ASR Method
[object Object],[object Object],[object Object],2D ASR Method
[object Object],[object Object],[object Object],2D ASR Method
[object Object],[object Object],[object Object],2D ASR Method
[object Object],[object Object],2D ASR Method
[object Object],2D ASR Method
[object Object],[object Object],2D ASR Method
[object Object],[object Object],[object Object],[object Object],Resolution Enhancement algorithm Based on ASR
[object Object],[object Object],[object Object],[object Object],Resolution Enhancement algorithm Based on ASR
[object Object],Resolution Enhancement algorithm Based on ASR
Results and Analysis ,[object Object],[object Object],(a)  (b)
Results and Analysis ,[object Object],Performance Index Fourier Method Paper’s Method Range resolution(m) 1.0544 0.7983 Range PSLR(dB) -13.4213 -26.9950 Range ISLR(dB) -10.1341 -24.2225 Azimuth resolution(m) 1.1044 0.8270 Azimuth PSLR(dB) -12.3295 -24.3613 Azimuth ISLR(dB) -8.9495 -22.0205
Results and Analysis (a) RD Method  (b)  The Paper’s Method  Figures show the result of SIR-C data using different methods. The data is obtained in 1994 of some city in Taiwan, which data process number is 51581.  Compared the two figures, we can see the river edge is clearer in (b). From the middle white circle, the targets docked at the land can be distinguished easily in (b). So the resolution can be enhanced obviously and sidelobes can also be suppressed very well.
[object Object],[object Object],[object Object],[object Object],Conclusion
 

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IGARSS11-Zhang.ppt

  • 1. A NEW SAR SUPERRESOLUTION IMAGING ALGORITHM BASED ON ADAPTIVE SIDELOBE REDUCTION Ping Zhang, Zhen Li, Jianmin Zhou , Quan Chen, Bangsen Tian Center for Earth Observation and Digital Earth Chinese Academy of Sciences
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  • 3. Impact of Weighting SAR imagery based on conventional Fourier transform (FT) techniques often requires sidelobe control for the high sidelobes. It has traditionally been accomplished by using window functions such as Taylor, Hanning, Hamming, etc. However, the lower sidelobes have been achieved at the expense of broadening the mainlobe width, i.e. it degrades the image resolution. -80 -60 -40 -20 0 20 40 60 80 -80 -70 -60 -50 -40 -30 -20 -10 0 dB Rect Hamming Hanning Blackman
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  • 18. Results and Analysis (a) RD Method (b) The Paper’s Method Figures show the result of SIR-C data using different methods. The data is obtained in 1994 of some city in Taiwan, which data process number is 51581. Compared the two figures, we can see the river edge is clearer in (b). From the middle white circle, the targets docked at the land can be distinguished easily in (b). So the resolution can be enhanced obviously and sidelobes can also be suppressed very well.
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