__________________________________________________________________________________________________________ Proc. of CEOS Working Group on Calibration / Validation SAR Workshop, London, United Kingdom, 24 – 26 September 2002 (ESA SP-526, March 2003) Natural Resources Canada 588 Booth Street, Ottawa Ontario, Canada K1A OY7 Abstract Cameron’s coherent target decomposition and classification are discussed in the context of It is shown that Cameron’s classification leads to a coarse scattering segmentation because of the large class dispersion that corresponds to a SAR system with about ±5 dB channel The of Cameron’s A new method, named the symmetric scattering characterization method (SSCM), is introduced to exploit the information provided by the largest target symmetric scattering com- ponent, under coherent conditions. The SSCM, which ex- pressed the symmetric scattering in term of the Poincar´ e sphere angles, permits a better characterization of target symmetric scattering and the generation of coherent scatter- ing segmentation of much higher resolution, in comparison with Cameron’s coarse segmentation. I. Introduction An interesting classification method, which is based on coherent target decomposition (CTD), was introduced in [1]. Cameron’s classification extracts, in each illuminated resolution cell, the largest symmetric scattering component from the total radar return, and assigns it to one of six sym- metric elemental scatterer classes: the trihedral, diplane, dipole, cylinder, narrow diplane, and quarter wave device [1]. This method has been widely used for the characteriza- tion and identification of point targets such as ships [7], [8] and small planes. In Section II, Cameron’s CTD and classi- fication are discussed in the context of SAR, and the limita- tions of Cameron’s classification are examined. Cameron’s CTD is then reconsidered in Section III, to develop a new method, named the SSCM method, that exploits better the information provided by Cameron’s CTD in the con- text of coherent scattering. The new method is validated for ocean scattering characterization and ship identifica- tion using Convair-580 polarimetric SAR data collected off shore Cape Race, Newfoundland, Canada. * under contract with TGIS Consultant II. Analysis of Cameron’s Coherent Target Decomposition and classification A. Cameron’s CTD Inspired by the work of Huynen [4], Cameron associates importance to a class of targets termed symmetric. A sym- metric target as defined in [4] is a target having an axis of symmetry in the plane orthogonal to the radar line of sight direction (LOS). Symmetric targets have a scattering ma- trix which can be diagonalized by a rigid rotation about the LOS in a basis of linear eigen polarizations. Huynen intro- duced a technique for CTD in terms of target parameters that are orientation invariant, and particularly in terms of the polarization configurations that maximizes the received power in [4]. The ellipticity angle τ m of the maximum po- larization determines the symmetric-nonsymmetric nature of the scattering; τ m = 0 for symmetric scattering and τ m = 0 for asymmetrical scattering. Cameron developed an algorithm that maximizes the symmetrical component of coherent scattering [1]. Under target and SAR system reciprocity assumption, the scat- tering matrix is expressed in terms of the Pauli matrices, as: [S]= α[S a ]+ β[S b ]+ γ [S c ]. Scattering is symmetric if there exists an angle of rotation ψ a that cancels the projec- tion of [S] on the non symmetric Pauli direction S c , where S c is the vectorial form of the Pauli matrix [S c ]. This leads to the following expression for the symmetric part, S sym , as a function of the angle θ = 2ψ a [1]: S sym = α S a + ǫ · [cos θ · S b + sin θ · S c ] (1) The symmetric component S sym of the total scattering S (the vectorial form of [S]), reaches its maximum for the angle θ that satisfies the following relationship, for β = γ [1]: tan(2θ)= βγ + β γ imbalance. ments limits the utility of the classification. application method within known SAR radiometric calibration require- better (CTD) SAR, and the limitations of Cameron’s classification are ex- amined. R. Touzi and F. Charbonneau* Canada Centre for Remote Sensing THE SSCM: AN ADAPTATION OF CAMERON'S TARGET DECOMPOSITION TO ACTUAL CALIBRATION SAR REQUIREMENTS