FN Archimer Export Format PT J TI Analysis of the SAR imaging process of the ocean surface using Volterra models BT AF LE CAILLEC, JM GARELLO, R CHAPRON, Bertrand AS 1:;2:;3:; FF 1:;2:;3:PDG-DRO-DOPS-LOS; C1 ENST Bretagne, Dept ITI, F-29285 Brest, France. C2 ENST BRETAGNE, FRANCE SI BREST SE PDG-DRO-DOPS-LOS IN WOS Ifremer jusqu'en 2018 IF 0.7 TC 10 UR https://archimer.ifremer.fr/doc/00000/10606/9500.pdf LA English DT Article DE ;higher order statistics;radar mapping;SAR;sea surface;Volterra models AB In this paper, the synthetic aperture radar (SAR) process of the ocean surface mapping is studied using a decomposition based on a Volterra model. By a mathematical expansion of the complex exponential of the complete SAR transform, these models decompose the nonlinear distortion mechanisms of the SAR spectrum over different spectra of polynomial interactions. Thus, they offer an alternative modeling (to the exact SAR transform) giving a theoretical separation between the SAR Fourier components linearly derived from the sea surface elevation and the artifacts created by nonlinearities of. the SAR mapping of the. ocean surface. The main results of this paper consist of the systematic assessment of such an approximation of the ocean surface SAR imaging process. Higher order statistics (HOS) of the SAR transform and their calculus and implementation are presented. In fact, nonlinearity detection, location (in the Fourier domain) and quantification can only be performed by HOS, reduced here to a second-order Volterra Model. The Volterra expansion of the SAR imaging process opens new theoretical inversion schemes since under certain conditions on the linear part, Volterra models are easily invertible. Our method is first tested on simulated SAR images in order to validate the HOS tools. We then show results of this nonlinearity analysis performed on images from the ERS-1 satellite and we present cases of nonlinearity detection. PY 2002 PD JUN SO Ieee Journal Of Oceanic Engineering SN 0364-9059 PU Ieee-inst Electrical Electronics Engineers Inc VL 27 IS 3 UT 000178758200029 BP 675 EP 699 ID 10606 ER EF