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

机译:副孔径数量在rid框架上应用于多方面POLSAR数据的影响

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Multi-aspect SAR is a new remote sensing technology, achieves consecutive data in large look angle as platform moves. Multiaspect observation brings higher resolution and SNR to SAR picture. Multi-aspect PolSAR data can increase the accuracy of target identify and classification because it contains the 3-D polarimetric scattering properties. DRIA(detecting-removing-incoherent-adding)framework is a multi-aspect PolSAR data processing method. In this method, the anisotropic and isotropic scattering is separated by maximumlikelihood ratio test. The anisotropic scattering is removed to gain a removal series. The isotropic scattering is incoherent added to gain a high resolution picture. The removal series describes the anisotropic scattering property and is used in features extraction and classification. This article focuses on the effect brought by difference of sub-aperture numbers in anisotropic scattering detection and removal. The more sub-apertures are, the less look angle is. Artificial target has anisotropic scattering because of Bragg resonances. The increase of sub-aperture number brings more accurate observation in azimuth though the quality of each single image may loss. The accuracy of classification in agricultural fields is affected by the anisotropic scattering brought by Bragg resonances. The size of the sub-aperture has a significant effect in the removal result of Bragg resonances.
机译:多个方面SAR是一种新的遥感技术,随着平台移动,在大看角度下实现连续数据。 Multiaspect观察将更高的分辨率和SNR带到SAR图片。多方面POLSAR数据可以提高目标标识和分类的准确性,因为它包含3-D偏振散射特性。 Dria(检测 - 删除 - 不连锁)框架是一种多方面POLSAR数据处理方法。在该方法中,各向异性和各向同性散射通过最高型脉冲比试验分离。除去各向异性散射以获得去除系列。加入各向同性散射不连贯,以获得高分辨率的图像。拆卸系列描述了各向异性散射性能,用于提取和分类的特征。本文重点介绍了各向异性散射检测和移除中子孔径数量的差异所带来的效果。较少的副孔径,视角越少。由于布拉格共振,人工靶具有各向异性散射。诸如各个图像的质量可能丢失的虽然可以损失的质量,子孔径数的增加带来了更准确的方位角观察。农业领域分类的准确性受到布拉格共振带来的各向异性散射的影响。副孔径的尺寸在布拉格共振的去除结果中具有显着影响。

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