THE EFFECT OF SUB-APERTURE QUANTITY IN DRIA FRAMEWORK APPLIED ON MULTI-ASPECT POLSAR DATA

摘要

Multi-aspect SAR is a new remote sensing technology, achievesrnconsecutive data in large look angle as platform moves. Multiaspectrnobservation brings higher resolution and SNR to SARrnpicture. Multi-aspect PolSAR data can increase the accuracy ofrntarget identify and classification because it contains the 3-Drnpolarimetric scattering properties.rnDRIA(detecting-removing-incoherent-adding)framework is arnmulti-aspect PolSAR data processing method. In this method, thernanisotropic and isotropic scattering is separated by maximumlikelihoodrnratio test. The anisotropic scattering is removed to gainrna removal series. The isotropic scattering is incoherent added torngain a high resolution picture. The removal series describes thernanisotropic scattering property and is used in features extractionrnand classification.rnThis article focuses on the effect brought by difference ofrnsub-aperture numbers in anisotropic scattering detection andrnremoval. The more sub-apertures are, the less look angle is.rnArtificial target has anisotropic scattering because of Braggrnresonances. The increase of sub-aperture number brings morernaccurate observation in azimuth though the quality of each singlernimage may loss. The accuracy of classification in agricultural fieldsrnis affected by the anisotropic scattering brought by Braggrnresonances. The size of the sub-aperture has a significant effect inrnthe removal result of Bragg resonances.