title: Spaceborne SAR Imaging Algorithm for Coherence Optimized.
abstract: This paper proposes SAR imaging algorithm with largest coherence based on the existing SAR imaging algorithm. The basic idea of SAR imaging algorithm in imaging processing is that output signal can have maximum signal-to-noise ratio (SNR) by using the optimal imaging parameters. Traditional imaging algorithm can acquire the best focusing effect, but would bring the decoherence phenomenon in subsequent interference process. Algorithm proposed in this paper is that SAR echo adopts consistent imaging parameters in focusing processing. Although the SNR of the output signal is reduced slightly, their coherence is ensured greatly, and finally the interferogram with high quality is obtained. In this paper, two scenes of Envisat ASAR data in Zhangbei are employed to conduct experiment for this algorithm. Compared with the interferogram from the traditional algorithm, the results show that this algorithm is more suitable for SAR interferometry (InSAR) research and application.
authors.affiliation: School of Earth Science and Engineering, Hohai University, Nanjing 211100, China.|School of Surveying and Engineering, Henan University of Urban Construction, Pingdingshan 467036, China.
authors.forename: Zhiwei
authors.initials: Z
authors.lastname: Qiu
authors.affiliation: School of Earth Science and Engineering, Hohai University, Nanjing 211100, China.
authors.forename: Jianping
authors.initials: J
authors.lastname: Yue
authors.affiliation: School of Earth Science and Engineering, Hohai University, Nanjing 211100, China.
authors.forename: Xueqin
authors.initials: X
authors.lastname: Wang
authors.affiliation: School of Earth Science and Engineering, Hohai University, Nanjing 211100, China.
authors.forename: Shun
authors.initials: S
authors.lastname: Yue
mesh_terms: D000465:Algorithms; D002681:China; D062305:Geographic Mapping; D007091:Image Processing, Computer-Assisted; D011825:Radar; D063809:Satellite Imagery; D013057:Spectrum Analysis