Title :
Characterization of symmetric scattering using polarimetric SARs
Author :
Touzi, R. ; Charbonneau, F.
Author_Institution :
Canada Centre for Remote Sensing, Ottawa, Ont., Canada
Abstract :
Cameron´s coherent target decomposition (CTD) and classification are discussed in the context of SAR, and the limitations of Cameron´s classification are examined. It is shown that these methods may lead to a coarse and misleading scattering segmentation because of the large radiometric dispersion tolerated in each of the elemental scatterer classes, as well as the implicit assumption on the coherence nature of target scattering. A new method, named the symmetric scattering characterization method (SSCM), is introduced to better exploit the information provided by the largest target symmetric scattering component, under coherent conditions. The SSCM, which expressed the symmetric scattering in term of the Poincare sphere angles, permits a better characterization of target symmetric scattering and the generation of coherent scattering segmentation of much higher resolution, in comparison with Cameron´s segmentation.
Keywords :
backscatter; geophysical techniques; marine radar; oceanographic techniques; radar clutter; radar cross-sections; radar detection; radar polarimetry; radar theory; remote sensing by radar; synthetic aperture radar; terrain mapping; Cameron; Cameron´s coherent target decomposition; Poincare sphere angles; SAR; SSCM; backscatter; characterization; classification; clutter; coherent scattering segmentation; geophysical measurement technique; land surface; large radiometric dispersion; marine radar; ocean; polarimetric SAR; radar polarimetry; radar remote sensing; radar scattering; scattering segmentation; sea surface; ship detection; symmetric scattering; symmetric scattering characterization method; synthetic aperture radar; target symmetric scattering; terrain mapping; Character generation; Contracts; Lead; Marine vehicles; Polarization; Radar scattering; Radiometry; Remote sensing; Scattering parameters; Symmetric matrices;
Conference_Titel :
Geoscience and Remote Sensing Symposium, 2002. IGARSS '02. 2002 IEEE International
Print_ISBN :
0-7803-7536-X
DOI :
10.1109/IGARSS.2002.1025057