A research of sidelobe suppression for SAR image performance

2016 ◽  
Author(s):  
Su Yu ◽  
Ze Yu ◽  
Youming Wu
Keyword(s):  
Sar Image ◽  
Sidelobe Suppression ◽  
Image Performance

Linear Programming Based Sidelobe Suppression for SAR Image Optimization

2021 ◽  
Author(s):  
Ruyi Deng ◽  
Xiang Tian ◽  
Zhen-Mei Kang ◽  
Bingqing Hong ◽  
Wen-Q Wang
Keyword(s):  
Linear Programming ◽  
Sar Image ◽  
Sidelobe Suppression ◽  
Image Optimization

scholarly journals RESOLUTION ENHANCEMENT ALGORITHM FOR SPACEBORN SAR BASED ON HANNING FUNCTION WEIGHTED SIDELOBE SUPPRESSION

2018 ◽  
Vol XLII-3 ◽  
pp. 771-773
Author(s):  
C. Li ◽  
X. Zhou ◽  
D. Tang ◽  
Z. Zhu
Keyword(s):  
High Resolution ◽  
Traditional Method ◽  
Resolution Enhancement ◽  
Sar Image ◽  
Sidelobe Suppression ◽  
Enhancement Algorithm

Resolution and sidelobe are mutual restrict for SAR image. Usually sidelobe suppression is based on resolution reduction. This paper provide a method for resolution enchancement using sidelobe opposition speciality of hanning window and SAR image. The method can keep high resolution on the condition of sidelobe suppression. Compare to traditional method, this method can enchance 50 % resolution when sidelobe is −30dB.

An Absolute Phase Estimation Method for Interferometry Imagery

2019 ◽  
Vol 1 (2) ◽  
pp. 14-19
Author(s):  
Sui Ping Lee ◽  
Yee Kit Chan ◽  
Tien Sze Lim
Keyword(s):  
Noise Suppression ◽  
Estimation Method ◽  
Phase Image ◽  
Phase Estimation ◽  
Phase Reconstruction ◽  
Estimation Algorithms ◽  
Absolute Phase ◽  
Filtering Rate ◽  
Interferometric Phase ◽  
Image Performance

Accurate interpretation of interferometric image requires an extremely challenging task based on actual phase reconstruction for incomplete noise observation. In spite of the establishment of comprehensive solutions, until now, a guaranteed means of solution method is yet to exist. The initially observed interferometric image is formed by 2π-periodic phase image that wrapped within (-π, π]. Such inverse problem is further corrupted by noise distortion and leads to the degradation of interferometric image. In order to overcome this, an effective algorithm that enables noise suppression and absolute phase reconstruction of interferometric phase image is proposed. The proposed method incorporates an improved order statistical filter that is able to adjust or vary on its filtering rate by adapting to phase noise level of relevant interferometric image. Performance of proposed method is evaluated and compared with other existing phase estimation algorithms. The comparison is based on a series of computer simulated and real interferometric data images. The experiment results illustrate the effectiveness and competency of the proposed method.

Iteration Based Polarimetric SAR Image Classification

PIERS Online ◽  
2007 ◽  
Vol 3 (5) ◽  
pp. 625-628
Author(s):  
Jian Yang ◽  
Xiaoli She ◽  
Tao Xiong
Keyword(s):  
Image Classification ◽  
Sar Image ◽  
Polarimetric Sar

Survey on Fast CFAR Detection Algorithms for SAR Image Targets

2012 ◽  
Vol 38 (12) ◽  
pp. 1885 ◽  
Author(s):  
Ming-Bo ZHAO ◽  
Jun HE ◽  
Qiang FU
Keyword(s):  
Sar Image ◽  
Cfar Detection ◽  
Detection Algorithms

Speckle reduction of SAR image based on morphological Haar wavelet

2013 ◽  
Vol 32 (3) ◽  
pp. 746-748 ◽  
Author(s):  
Min LI ◽  
Zi-you ZHANG ◽  
Lin-ju LU
Keyword(s):  
Haar Wavelet ◽  
Speckle Reduction ◽  
Sar Image
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